davila7--claude-code-templates/dashboard/public/components/agents.json

[{"name": "accessibility-tester", "path": "accessibility/accessibility-tester.md", "category": "accessibility", "type": "agent", "description": "\"Use this agent when conducting comprehensive accessibility audits, WCAG 2.2 compliance assessments, or evaluating UI components and full codebases for barriers that affect users with disabilities. Invoke when you need structured findings mapped to specific WCAG criteria, hybrid automated-plus-manual coverage, and actionable remediation guidance aligned with ADA, Section 508, and the European Accessibility Act (EAA, effective June 2025).\\n\\n<example>\\nContext: A product team is shipping a redesigned checkout flow and needs to verify it meets WCAG 2.2 AA before release.\\nuser: \\\"Can you audit the checkout flow components in src/components/checkout/ for accessibility issues?\\\"\\nassistant: \\\"I'll perform a hybrid accessibility audit of your checkout flow. I'll run automated scans with axe-core and pa11y to catch programmatic violations, then execute a manual checklist covering keyboard navigation, focus visibility, screen reader compatibility, color contrast, touch target sizing, and accessible authentication (WCAG 2.2 criterion 3.3.8). Each finding will be mapped to the relevant WCAG 2.2 criterion and severity level, with a remediation recommendation and verification step.\\\"\\n<commentary>\\nUse the accessibility-tester when you need rigorous, evidence-based accessibility assessment of specific components or user flows ahead of release milestones. The hybrid approach catches violations that automated tools miss.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A company's legal team has flagged potential ADA and EAA exposure ahead of the European Accessibility Act enforcement deadline and requests a full codebase scan.\\nuser: \\\"We need a full accessibility compliance scan across the entire frontend codebase before the EAA June 2025 deadline. Can you identify all WCAG 2.2 AA gaps?\\\"\\nassistant: \\\"I'll conduct a full-codebase accessibility compliance audit targeting WCAG 2.2 AA conformance. The audit will combine automated scanning across all UI components with a prioritized manual verification pass covering the 9 new WCAG 2.2 criteria, ARIA pattern correctness, screen reader behaviour, focus management, reduced-motion support, and accessible authentication flows. I'll deliver a structured findings report with WCAG criterion numbers, severity ratings, affected elements, remediation steps, and a summary scorecard showing critical/high/medium/low counts — with compliance mapping to ADA, Section 508, and EAA requirements.\\\"\\n<commentary>\\nInvoke accessibility-tester for organization-wide compliance sweeps when legal deadlines or regulatory requirements demand documented, prioritized evidence of WCAG conformance across the full product.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 46}, {"name": "ai-ethics-advisor", "path": "ai-specialists/ai-ethics-advisor.md", "category": "ai-specialists", "type": "agent", "description": "AI ethics and responsible AI development specialist. Use when reviewing an AI system for bias, fairness violations, or regulatory compliance gaps; when generating a model card, algorithmic impact assessment, or ethics review document; or when an AI feature touches a protected class or high-stakes domain (hiring, healthcare, credit, law enforcement).", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 226}, {"name": "hackathon-ai-strategist", "path": "ai-specialists/hackathon-ai-strategist.md", "category": "ai-specialists", "type": "agent", "description": "\"Use when a team needs strategic guidance at any stage of a hackathon — from initial ideation through pitch delivery. Specifically:\\n\\n<example>\\nContext: A team of four arrives at a 24-hour AI hackathon with no idea, a vague interest in healthcare, and two hours before the kick-off presentation deadline.\\nuser: \\\"We have no idea yet, the theme is AI for Good, and we need a concept in the next 2 hours. We have two ML engineers, one frontend dev, and a designer.\\\"\\nassistant: \\\"I need a few details first — what sponsor APIs are available, and is there a specific judging track we must target? Once I have that, I'll generate three ranked concept options with feasibility scores, and we'll lock one in within 15 minutes so the team can start the environment setup.\\\"\\n<commentary>\\nInvoke hackathon-ai-strategist for pre-hackathon ideation when the clock is already running and the team needs a structured, fast-converging concept selection process.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A team is 14 hours into a 24-hour hackathon. Their original plan involved a real-time video analysis feature that is behind schedule and may not be completable.\\nuser: \\\"We're behind. The video pipeline isn't working and we only have 10 hours left. What do we cut?\\\"\\nassistant: \\\"Let's triage immediately. Tell me what's working reliably right now, what the demo absolutely needs to show, and which judging criteria are worth the most points. I'll give you a re-scoped MVP plan with explicit cut decisions so the team can align and get back to building within the next 30 minutes.\\\"\\n<commentary>\\nUse hackathon-ai-strategist for mid-hackathon triage when a team needs a fast re-scoping decision backed by judging criteria analysis, not a general project manager.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A team has a working prototype with 6 hours left before judging. They need to turn it into a compelling 3-minute demo and slide deck.\\nuser: \\\"We have something working. How do we structure the pitch and demo for the next 6 hours?\\\"\\nassistant: \\\"I'll outline a time-annotated 3-minute pitch structure and a demo reliability checklist. Then we'll split the remaining time: 2 hours on demo stabilization, 2 hours on slides, 1 hour on rehearsal, 1 hour buffer. Walk me through what the product does so I can draft the hook and problem statement.\\\"\\n<commentary>\\nInvoke hackathon-ai-strategist when a team transitions from building to presenting and needs a concrete pitch structure, demo script, and rehearsal plan.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 321}, {"name": "llm-architect", "path": "ai-specialists/llm-architect.md", "category": "ai-specialists", "type": "agent", "description": "\"Use when designing LLM systems for production, implementing fine-tuning or RAG architectures, optimizing inference serving infrastructure, or managing multi-model deployments. Specifically:\\\\n\\\\n<example>\\\\nContext: A startup needs to deploy a custom LLM application with sub-200ms latency, fine-tuned on domain-specific data\\\\nuser: \\\"Design a production LLM architecture that supports our use case with sub-200ms P95 latency, includes fine-tuning capability, and optimizes for cost\\\"\\\\nassistant: \\\"I'll start by gathering your latency targets, model class preference, and infrastructure constraints. Then design an end-to-end LLM system using quantized open-weight models with vLLM serving, implement LoRA-based fine-tuning pipeline, add context caching for repeated queries, and configure load balancing with multi-region deployment.\\\"\\\\n<commentary>\\\\nInvoke the llm-architect when building comprehensive LLM systems from scratch that require architecture design, serving infrastructure decisions, and fine-tuning pipeline setup. This differentiates from prompt-engineer (who optimizes prompts) and ai-engineer (who builds general AI systems).\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An enterprise needs to implement RAG to augment an LLM with internal documentation retrieval\\\\nuser: \\\"We need RAG to add our internal documentation to Claude. Design the retrieval pipeline, vector store, and LLM integration\\\"\\\\nassistant: \\\"I'll gather your corpus size, update frequency, and latency requirements first, then architect a hybrid RAG system with document chunking strategies, embedding selection (dense + BM25 hybrid), vector store selection (Pinecone/Weaviate/pgvector), and reranking for relevance. Includes RAGAS evaluation pipeline for ongoing quality tracking.\\\"\\\\n<commentary>\\\\nUse llm-architect when implementing advanced LLM augmentation patterns like RAG, where you need architectural decisions around document processing, retrieval optimization, and LLM integration patterns.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company running multiple LLM workloads (customer service, content generation, code analysis) with different latency and quality requirements\\\\nuser: \\\"Design a multi-model LLM orchestration system that routes requests to different models and manages costs\\\"\\\\nassistant: \\\"I'll implement cascade routing strategy: fast models for latency-critical tasks, larger models for quality-critical paths, cost-aware selection with fallback handling. Include model A/B testing infrastructure, automated cost tracking per model/use-case, and performance monitoring with LangSmith tracing.\\\"\\\\n<commentary>\\\\nInvoke llm-architect for complex multi-model deployments, cost optimization strategies, and orchestration patterns that require architectural decisions across multiple models and inference infrastructure.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 188}, {"name": "llms-maintainer", "path": "ai-specialists/llms-maintainer.md", "category": "ai-specialists", "type": "agent", "description": "LLMs.txt roadmap file generator and maintainer for AI Engine Optimization (AEO). Use after build completion, content changes, or when setting up AI crawler navigation for a site. Detects framework, scans site structure, and writes a spec-compliant llms.txt file.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 282}, {"name": "model-evaluator", "path": "ai-specialists/model-evaluator.md", "category": "ai-specialists", "type": "agent", "description": "\"AI model evaluation and benchmarking specialist. Use when selecting the right model for a specific task, designing evaluation benchmarks from scratch, or running post-deployment regression testing. Specifically:\\n\\n<example>\\nContext: A product team needs to choose between Claude Sonnet, GPT-4o, and Gemini 1.5 Pro for a customer support summarization pipeline with a $500/month budget\\nuser: \\\"We need to pick a model for our customer support summarization system. We process 50k tickets/month and need under 2s latency.\\\"\\nassistant: \\\"I'll start by establishing your success criteria and constraints: accuracy threshold for summarization quality, acceptable hallucination rate, latency P95 target, and cost ceiling. Then I'll design a representative test set of 200+ real tickets (with human-labeled reference summaries), run systematic evaluation against Claude Haiku, Claude Sonnet, GPT-4o-mini, and GPT-4o using ROUGE-L, BERTScore, and human eval, and produce a cost-per-unit vs quality Pareto curve so you can make an informed trade-off decision.\\\"\\n<commentary>\\nInvoke model-evaluator when the primary need is picking the best model for a defined task with measurable criteria. Contrast with llm-architect (who designs the serving infrastructure and integration patterns) and prompt-engineer (who optimizes prompts for a chosen model).\\n</commentary>\\n</example>\\n\\n<example>\\nContext: An ML team is building an internal coding assistant and needs to benchmark several open-source and proprietary code models before committing to infrastructure\\nuser: \\\"Design a benchmark for evaluating code generation models for our internal developer tooling. We care about Python, TypeScript, and SQL.\\\"\\nassistant: \\\"I'll design a benchmark using HumanEval+ and custom enterprise test cases across Python, TypeScript, and SQL. Evaluation will cover functional correctness (pass@1, pass@5), syntax validity, idiomatic style, and security anti-patterns. I'll set up the EleutherAI lm-evaluation-harness for open-weight models and a Promptfoo config for API models, report results with 95% confidence intervals, and flag statistically significant differences using Cohen's d.\\\"\\n<commentary>\\nUse model-evaluator when the task is designing the evaluation methodology itself — test set composition, metric selection, statistical rigor. This is distinct from llm-architect who would design the serving layer once the model is chosen.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A deployed LLM pipeline has started producing lower quality outputs after a model provider silently updated their model weights\\nuser: \\\"Our summarization quality scores dropped 8% last week. We think the model changed. How do we confirm and decide whether to roll back or switch models?\\\"\\nassistant: \\\"I'll set up a regression evaluation: run your existing golden test set against the current model version and compare against your stored baseline scores. I'll use paired statistical tests (Wilcoxon signed-rank) to confirm the degradation is significant, identify which input categories regressed most, then benchmark two alternative models as candidates. I'll also add Promptfoo CI regression checks and Arize Phoenix drift alerts so this is caught automatically going forward.\\\"\\n<commentary>\\nInvoke model-evaluator for post-deployment regression investigations and re-evaluation cycles. The agent handles both diagnosing the degradation and designing the monitoring to prevent recurrence, handing off infrastructure changes to llm-architect.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 307}, {"name": "prompt-engineer", "path": "ai-specialists/prompt-engineer.md", "category": "ai-specialists", "type": "agent", "description": "\"Use this agent when you need to design, optimize, test, or evaluate prompts for Claude (or other LLMs) in production systems. Specifically:\\n\\n<example>\\nContext: You're building a customer support chatbot and need to create high-quality prompts that balance accuracy, cost, and response speed.\\nuser: \\\"I need to optimize prompts for our support bot. We're getting 82% accuracy now, but we want to reach 95% and reduce token usage by at least 30%.\\\"\\nassistant: \\\"I'll help you design and optimize your support prompts. Let me analyze your current setup, restructure it with clear XML tags and role framing, test chain-of-thought and few-shot variations, measure accuracy improvements, and produce a token-efficient version with monitoring in place.\\\"\\n<commentary>\\nUse the prompt-engineer agent when you have concrete prompt optimization goals with measurable targets (accuracy %, token reduction %, cost constraints). This agent excels at designing templates, testing variations, and implementing production-ready prompt systems for an already-chosen model.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Your data science team has trained a classification pipeline but the Claude-based inference is inconsistent across different input variations and edge cases.\\nuser: \\\"Our model outputs vary significantly on similar inputs. Can you help make the prompts more consistent and robust?\\\"\\nassistant: \\\"I'll design a systematic evaluation framework to test edge cases, restructure the prompt with explicit XML-tagged instructions and grounded examples, add chain-of-thought reasoning for the ambiguous cases, A/B test the variations, and provide statistical analysis to validate improvements.\\\"\\n<commentary>\\nUse the prompt-engineer agent when you need to improve prompt reliability, consistency, and edge case handling through structured testing and Claude-specific prompt patterns.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: You're managing multiple Claude-based features in production and need to establish best practices, version control, and cost tracking across all prompts.\\nuser: \\\"We have 15 different prompts scattered across our codebase. How do we manage them consistently and track costs?\\\"\\nassistant: \\\"I'll establish a prompt management system with version control, create a prompt catalog with performance metrics, set up A/B testing frameworks, implement monitoring dashboards, and develop team guidelines for prompt structure and deployment.\\\"\\n<commentary>\\nUse the prompt-engineer agent when you need to build production-scale prompt infrastructure, documentation, version control, testing frameworks, and team collaboration protocols across multiple prompts.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 4838}, {"name": "search-specialist", "path": "ai-specialists/search-specialist.md", "category": "ai-specialists", "type": "agent", "description": "\"Expert web researcher using advanced search techniques, multi-source synthesis, and iterative retrieval. Masters search operators, domain filtering, credibility evaluation, and structured reporting. Use PROACTIVELY for deep research, competitive intelligence, fact-checking, or trend analysis. Specifically:\\n\\n<example>\\nContext: A product team wants to understand the competitive landscape before launching a new developer tool\\nuser: \\\"Research the top five CI/CD tools for monorepos and summarize their pricing, integrations, and developer sentiment.\\\"\\nassistant: \\\"I'll clarify what 'top' means for your context (market share, GitHub stars, community activity), then run three query variants per tool to gather pricing pages, G2/Reddit sentiment, and changelog history. After the first retrieval round I'll identify gaps — missing integration matrices or outdated pricing — and run follow-up queries to fill them. I'll cross-verify any pricing or feature claims across at least two independent sources and deliver a structured comparison table with a credibility note for each source.\\\"\\n<commentary>\\nInvoke search-specialist for competitive intelligence tasks where structured multi-source verification and synthesis are needed across several products simultaneously.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: An engineer needs to verify whether a specific security vulnerability affects a library version they are using\\nuser: \\\"Is CVE-2024-38816 confirmed for Spring Framework 6.0.x and is there a fix available?\\\"\\nassistant: \\\"I'll query the NVD entry, the Spring Security advisories page, and GitHub release notes for 6.0.x. I'll verify the affected version range from at least two authoritative sources (NVD + vendor advisory) and check patch status from the official changelog. If the sources disagree on affected versions I'll document both claims and flag the discrepancy.\\\"\\n<commentary>\\nUse search-specialist for targeted fact-checking where claims must be cross-verified against authoritative sources (official docs, CVE databases, vendor advisories) before the result can be trusted.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A researcher wants to understand adoption trends for WebAssembly over the past three years\\nuser: \\\"How has WebAssembly adoption changed since 2022? I need data on use cases, tooling, and community growth.\\\"\\nassistant: \\\"I'll run time-bounded queries (2022, 2023, 2024-2025) to track evolution across three dimensions: use cases (edge compute, plugin systems, browser apps), tooling (Emscripten, wasm-pack, Component Model), and community signals (Stack Overflow survey data, GitHub activity, CNCF reports). I'll identify the narrative arc across retrieval rounds and call out areas where the data is thin or conflicting.\\\"\\n<commentary>\\nInvoke search-specialist for trend research that spans time ranges and requires synthesizing fragmented signals from multiple communities into a coherent narrative.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1969}, {"name": "task-decomposition-expert", "path": "ai-specialists/task-decomposition-expert.md", "category": "ai-specialists", "type": "agent", "description": "\"Use this agent when you need to break down a complex, multi-step goal into an actionable work breakdown structure with dependencies, parallelism opportunities, effort estimates, and a clear handoff plan to specialist agents. Specifically:\\n\\n<example>\\nContext: A team wants to migrate a monolithic Rails app to a microservices architecture but the scope feels overwhelming and they don't know where to start.\\nuser: \\\"We need to migrate our Rails monolith to microservices. It has 12 bounded contexts, a shared Postgres database, and we can't have more than 4 hours of downtime total.\\\"\\nassistant: \\\"I'll gather your constraints and success criteria first, then produce a full work breakdown: I'll identify the 3–4 highest-risk extraction candidates, map all inter-service data dependencies, design a strangler-fig migration sequence with parallel tracks for each service, define validation checkpoints at each phase, and specify which specialist agents should handle each workstream (backend-developer, database-architect, devops-engineer, security-auditor).\\\"\\n<commentary>\\nUse the task-decomposition-expert when the user has a large, ambiguous project with multiple capabilities required and needs a structured plan before execution begins. This agent produces the roadmap; specialist agents execute the work.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A startup needs to launch an AI-powered document processing product in 8 weeks with a team of 3 engineers.\\nuser: \\\"We need to ship a document ingestion and Q&A product in 8 weeks. We have 3 engineers. What do we build first?\\\"\\nassistant: \\\"I'll start by clarifying your non-negotiables — document types, latency targets, and must-have features for launch. Then I'll produce a prioritized WBS: identify the critical path (ingestion pipeline → embedding → retrieval → API), map tasks that can run in parallel (frontend, auth, monitoring), assign effort estimates using the 8/80-hour rule, and flag the top 3 risks with mitigation tasks. Each workstream maps to a specialist agent for execution.\\\"\\n<commentary>\\nInvoke the task-decomposition-expert when a project has real time and resource constraints and the team needs a sequenced, parallel-aware plan with risk flags before writing any code.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: An engineering manager needs to understand how to coordinate an AI agent system where multiple sub-agents collaborate on a research and report-writing pipeline.\\nuser: \\\"I want to build a multi-agent system that researches a topic, synthesizes findings, and produces a formatted report. How do I structure this?\\\"\\nassistant: \\\"I'll map the full workflow: define the task graph (research → synthesis → formatting → review), identify which steps can run in parallel (multiple research sub-agents), specify the data contracts between each agent, design error handling and retry logic for flaky search steps, and recommend which existing specialist agents fit each role. You'll get a dependency diagram, effort estimates per node, and a recommended orchestration pattern.\\\"\\n<commentary>\\nUse the task-decomposition-expert when designing multi-agent or multi-step automation pipelines where the orchestration structure itself is the primary deliverable.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1996}, {"name": "api-architect", "path": "api-graphql/api-architect.md", "category": "api-graphql", "type": "agent", "description": "Expert API architect for designing and implementing REST and GraphQL APIs with production-grade resilience, security, and versioning. Use this agent when you need to: design a GraphQL schema with federation for a new microservice, build a resilient REST client with circuit breaker and bulkhead patterns, choose between REST/GraphQL/gRPC for a new service, or implement secure API authentication and rate limiting.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 256}, {"name": "api-designer", "path": "api-graphql/api-designer.md", "category": "api-graphql", "type": "agent", "description": "\"Use this agent when designing new APIs, creating API specifications, or refactoring existing API architecture for scalability and developer experience. Invoke when you need REST/GraphQL/gRPC endpoint design, OpenAPI 3.1 documentation, authentication patterns, API versioning strategies, or protocol selection for internal microservices. Use PROACTIVELY before backend implementation begins to establish the API contract. Specifically:\\n\\n<example>\\nContext: A team is building a new microservice and needs to design the API contract before implementation.\\nuser: \\\"Design a REST API for a payment processing service with endpoints for transactions, refunds, and webhooks\\\"\\nassistant: \\\"I'll use the api-designer agent to design a comprehensive REST API following OpenAPI 3.1, including resource-oriented endpoints, error handling, authentication via OAuth 2.1 with PKCE, webhook events, rate limiting, and full HATEOAS support for developer experience.\\\"\\n<commentary>\\nUse api-designer when you need to define API contracts upfront. This agent discovers existing patterns, creates complete specifications with proper HTTP semantics, status codes, pagination, and authentication before backend implementation begins.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: An existing monolithic API needs to be refactored into GraphQL for better mobile and frontend client support.\\nuser: \\\"We need to migrate our REST API to GraphQL. The current API has 50+ endpoints covering Users, Orders, Products, and Payments.\\\"\\nassistant: \\\"I'll use the api-designer agent to design a GraphQL schema optimizing query complexity, defining mutations for state changes, planning subscription events, and creating a federation strategy for future microservices. I'll include migration guides and mock servers for frontend teams.\\\"\\n<commentary>\\nInvoke api-designer when migrating between API paradigms or optimizing for specific client needs. This agent handles schema design, query optimization, and ensures developer experience throughout the transition.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: An API is experiencing scalability issues and needs versioning strategy to support new features without breaking existing clients.\\nuser: \\\"Our API has reached 100K daily active clients but we need to add breaking changes. How should we version it?\\\"\\nassistant: \\\"I'll use the api-designer agent to design a comprehensive versioning strategy—header-based or URI versioning—with deprecation policies, migration pathways, client transition support, and sunset timelines.\\\"\\n<commentary>\\nUse api-designer for API governance decisions like versioning, deprecation, and backward compatibility. This agent ensures smooth evolution of APIs as requirements change without disrupting production clients.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A team is building a new internal microservices platform and needs to pick the right communication protocol.\\nuser: \\\"We're designing 8 internal microservices. Should we use REST, GraphQL, or gRPC between them?\\\"\\nassistant: \\\"I'll use the api-designer agent to analyze your workload characteristics—latency requirements, payload size, schema evolution needs, streaming requirements, and team familiarity—then produce a protocol recommendation with reference architecture for each service boundary.\\\"\\n<commentary>\\nUse api-designer for protocol selection decisions (REST vs GraphQL vs gRPC) for internal microservices. It evaluates tradeoffs against your specific SLAs and produces a rationale document alongside the chosen interface definition.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 217}, {"name": "graphql-architect", "path": "api-graphql/graphql-architect.md", "category": "api-graphql", "type": "agent", "description": "\"Use this agent when designing or evolving GraphQL schemas across microservices, implementing federation architectures, or optimizing query performance in distributed graphs. Specifically:\\n\\n<example>\\nContext: A team is building a multi-service architecture and needs to design a federated GraphQL schema.\\nuser: \\\"We have three services (users, orders, products) that need to be exposed through a unified GraphQL API. Can you design the federation structure?\\\"\\nassistant: \\\"I'll analyze your service boundaries and design an Apollo Federation 2.10+ architecture with proper entity keys, reference resolvers, and gateway configuration to ensure scalable schema composition.\\\"\\n<commentary>\\nUse this agent when you need to architect a federated GraphQL solution across multiple services. The agent handles subgraph design, entity relationships, and federation-specific concerns that go beyond single-service API design.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: An application is experiencing N+1 query problems and slow resolver performance in production.\\nuser: \\\"Our GraphQL queries are slow, especially when fetching users with their related orders. How should we optimize?\\\"\\nassistant: \\\"I'll implement DataLoader patterns, analyze query complexity, add field-level caching, and restructure your schema to prevent N+1 queries while maintaining clean type definitions.\\\"\\n<commentary>\\nInvoke this agent when facing GraphQL performance issues requiring schema redesign or resolver optimization. This is distinct from general backend optimization—it requires GraphQL-specific patterns like DataLoader and complexity analysis.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A growing product needs to add real-time subscriptions and evolve the schema without breaking existing clients.\\nuser: \\\"We need to add WebSocket subscriptions for live order updates and deprecate some old fields. What's the best approach?\\\"\\nassistant: \\\"I'll design subscription architecture with pub/sub patterns, set up schema versioning with backward compatibility, and create a deprecation timeline with clear migration paths for clients.\\\"\\n<commentary>\\nUse this agent when implementing advanced GraphQL features (subscriptions, directives) or managing complex schema evolution. These specialized concerns require deep GraphQL knowledge beyond standard API design.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 290}, {"name": "graphql-performance-optimizer", "path": "api-graphql/graphql-performance-optimizer.md", "category": "api-graphql", "type": "agent", "description": "\"GraphQL performance analysis and optimization specialist. Use PROACTIVELY for query performance issues, N+1 problems, caching strategies, and production GraphQL API optimization. Specifically:\\n\\n<example>\\nContext: An existing resolver file is causing visible slowdowns when loading lists of users with their related orders.\\nuser: \\\"Our user list page takes 3–4 seconds to load. Each user has related orders fetched in a separate resolver. Can you diagnose and fix it?\\\"\\nassistant: \\\"I'll scan the resolver file for N+1 patterns, instrument DataLoader batching for the orders relation, and verify the fix with a before/after query count.\\\"\\n<commentary>\\nUse this agent when N+1 is suspected in a specific resolver file. It reads existing code, identifies per-record database calls, and rewrites affected resolvers to use request-scoped DataLoader instances — without touching the schema.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A high-traffic public API needs to reduce origin load and improve cache-ability without changing the client query surface.\\nuser: \\\"We serve 50k requests/minute. Can you implement APQ + CDN caching to cut origin hits?\\\"\\nassistant: \\\"I'll enable Automatic Persisted Queries on the Apollo Server, configure a Redis APQ store, add cache-control directives at the field level, and set up the CDN to cache GET-based persisted query responses.\\\"\\n<commentary>\\nInvoke this agent when the primary goal is reducing origin load for a public or semi-public API where the client is controlled but Trusted Documents are not feasible (e.g., third-party mobile apps). APQ converts frequent queries to short GET requests the CDN can cache.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A federated graph with three subgraphs is showing 800ms p95 latency on a product-detail query that spans users, inventory, and pricing subgraphs.\\nuser: \\\"Our federated product query is slow in production. Apollo Studio shows the query plan is fine but subgraph response times are high. How do we profile and fix it?\\\"\\nassistant: \\\"I'll add router-level query plan caching, ensure each subgraph instantiates DataLoaders per request context, and implement `__resolveReference` batch loading for the Product entity to collapse the cross-subgraph entity fetches.\\\"\\n<commentary>\\nUse this agent when latency lives inside federation entity resolution. It targets router query plan caching, subgraph DataLoader scoping, and batch reference resolvers — concerns distinct from single-service optimization.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 195}, {"name": "graphql-security-specialist", "path": "api-graphql/graphql-security-specialist.md", "category": "api-graphql", "type": "agent", "description": "\"GraphQL API security and authorization specialist. Use PROACTIVELY for GraphQL security audits, authorization implementation, query validation, and protection against GraphQL-specific attacks.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 142}, {"name": "shopify-expert", "path": "api-graphql/shopify-expert.md", "category": "api-graphql", "type": "agent", "description": "\"Use this agent when building or customizing Shopify themes, developing Shopify apps, working with Liquid templating, or integrating Shopify APIs (Admin GraphQL, Storefront, Functions, Checkout Extensibility). Use PROACTIVELY for Online Store 2.0 section/block work, app architecture decisions, and headless Hydrogen storefronts. Specifically:\\n\\n<example>\\nContext: A merchant needs a custom section built for their theme.\\nuser: \\\"I need a featured collection section with configurable columns and a background color option\\\"\\nassistant: \\\"I'll use the shopify-expert agent to build an Online Store 2.0 section with proper schema settings, blocks support, and performant Liquid markup following current theme architecture conventions.\\\"\\n<commentary>\\nUse shopify-expert for theme/section/Liquid work that requires Online Store 2.0 schema knowledge and Shopify-specific rendering patterns.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A team is starting a new public Shopify app and needs to choose an API and framework strategy.\\nuser: \\\"We're building a new public app that manages inventory and offers custom discounts. What should our API and framework approach be?\\\"\\nassistant: \\\"I'll use the shopify-expert agent to design the app around the GraphQL Admin API (mandatory for new public apps since April 2025), Shopify Functions for the discount logic, and the current React Router v7-based app template.\\\"\\n<commentary>\\nInvoke shopify-expert for Shopify app architecture decisions where REST-vs-GraphQL, Functions, and current framework/template guidance matter.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A merchant's checkout customizations rely on checkout.liquid.\\nuser: \\\"Our Thank You page still uses checkout.liquid customizations, is that a problem?\\\"\\nassistant: \\\"I'll use the shopify-expert agent to review your checkout.liquid usage and plan the migration to Checkout UI Extensions before the deprecation deadline.\\\"\\n<commentary>\\nUse shopify-expert to flag time-sensitive Shopify platform deprecations like checkout.liquid removal.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 128}, {"name": "blockchain-developer", "path": "blockchain-web3/blockchain-developer.md", "category": "blockchain-web3", "type": "agent", "description": "\"Use this agent when building smart contracts, DApps, and blockchain protocols that require expertise in Solidity, gas optimization, security auditing, and Web3 integration. Specifically:\\n\\n<example>\\nContext: A team is building a DeFi protocol and needs to implement smart contracts for an AMM with liquidity pools, yield farming, and governance tokens.\\nuser: \\\"We need to build an AMM protocol similar to Uniswap. Requirements: ERC20 token support, liquidity pool management, automated market maker mechanics, 0.3% swap fees, and a governance token with time-locked voting.\\\"\\nassistant: \\\"I'll architect and implement this DeFi protocol. First, let me understand your target chains and security requirements. Then I'll design the contract architecture with proper access controls, implement the AMM mechanics with safe math, create comprehensive tests with 100% coverage, and optimize for gas efficiency. I'll also set up security scanning with Slither and Echidna and prepare an audit-ready codebase.\\\"\\n<commentary>\\nInvoke this agent when you need to build complex smart contracts for DeFi protocols, including AMMs, lending protocols, staking systems, or governance mechanisms. Use when gas optimization, security hardening, and scalability patterns are critical.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A project is launching an NFT marketplace and needs smart contracts for minting, trading, royalties, and metadata management.\\nuser: \\\"We're launching an NFT marketplace. Need ERC721 contracts with batch minting, ERC2981 royalty support, marketplace contract for trading, and IPFS integration for metadata. Must support lazy minting and gas-optimized batch operations.\\\"\\nassistant: \\\"I'll implement the complete NFT ecosystem. I'll design the core ERC721 contract with lazy minting capabilities, implement ERC2981 royalty standard compliance, build the marketplace contract with proper escrow patterns, add batch operation optimization, integrate IPFS metadata handling, and ensure all contracts follow gas optimization best practices. Full test coverage and OpenZeppelin audit patterns included.\\\"\\n<commentary>\\nUse this agent when implementing NFT contracts, marketplaces, and metadata systems that require standards compliance, gas efficiency, and reliable trading mechanics.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: An existing smart contract codebase has security vulnerabilities and needs optimization for production deployment.\\nuser: \\\"Our token contract passed initial testing but we need a security review. Run it through Slither and check for common vulnerabilities, fix any gas inefficiencies, optimize storage layout, add emergency pause functionality, and ensure it follows all security best practices before mainnet deployment.\\\"\\nassistant: \\\"I'll conduct a comprehensive security and optimization review. I'll run Slither for static analysis and Echidna for fuzz testing to identify vulnerabilities, refactor storage layout for gas efficiency, implement reentrancy guards and CEI patterns, add proper event logging and error handling, implement emergency pause mechanisms, and provide a detailed security report with remediation steps.\\\"\\n<commentary>\\nInvoke this agent for security auditing, gas optimization, and hardening existing smart contracts before production deployment. Use when you need vulnerability analysis, performance optimization, and standards compliance verification.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 94}, {"name": "smart-contract-auditor", "path": "blockchain-web3/smart-contract-auditor.md", "category": "blockchain-web3", "type": "agent", "description": "Use this agent when conducting security audits of smart contracts. Specializes in vulnerability detection, attack vector analysis, and comprehensive security assessments. Examples: <example>Context: User needs to audit a DeFi protocol user: 'Can you audit my yield farming contract for security issues?' assistant: 'I'll use the smart-contract-auditor agent to perform a comprehensive security audit, checking for reentrancy, overflow issues, and economic attacks' <commentary>Security audits require specialized knowledge of attack patterns and vulnerability detection</commentary></example> <example>Context: User found a suspicious transaction user: 'This transaction looks like an exploit, can you analyze it?' assistant: 'I'll use the smart-contract-auditor agent to analyze the transaction and identify the exploit mechanism' <commentary>Exploit analysis requires deep understanding of attack vectors and contract vulnerabilities</commentary></example> <example>Context: User needs pre-deployment security review user: 'My NFT marketplace is ready for deployment, can you check for security issues?' assistant: 'I'll use the smart-contract-auditor agent to conduct a pre-deployment security review with focus on marketplace-specific vulnerabilities' <commentary>Pre-deployment audits require comprehensive security assessment across multiple attack vectors</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 205}, {"name": "smart-contract-specialist", "path": "blockchain-web3/smart-contract-specialist.md", "category": "blockchain-web3", "type": "agent", "description": "Use this agent for smart contract architecture and design-pattern advisory work — choosing proxy/upgrade patterns, designing storage layouts, defining module boundaries, and selecting token/protocol standards — rather than day-to-day implementation or security auditing. Examples: <example>Context: User needs to build a new DeFi protocol user: 'I need to create a secure lending protocol with upgradeable contracts' assistant: 'I'll use the smart-contract-specialist agent to design the contract architecture, proxy pattern, and storage layout, then hand off implementation to blockchain-developer' <commentary>Architecture and design-pattern decisions (proxy pattern, module boundaries, storage layout) require specialized advisory expertise before implementation begins</commentary></example> <example>Context: User is choosing between upgrade patterns user: 'Should I use UUPS or Transparent proxy for my protocol, and how should I lay out storage for future upgrades?' assistant: 'I'll use the smart-contract-specialist agent to evaluate the tradeoffs and design an EIP-7201 namespaced storage layout' <commentary>Proxy pattern selection and storage layout design are architecture-advisory decisions, distinct from writing the implementation</commentary></example> <example>Context: An audit surfaces an architectural question user: 'The auditor flagged that our module boundaries make upgrades risky — how should we restructure?' assistant: 'I'll use the smart-contract-specialist agent to advise on restructuring module boundaries and storage layout to reduce upgrade risk' <commentary>smart-contract-auditor consults smart-contract-specialist on architecture and design-pattern questions that surface during an audit</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 225}, {"name": "web3-integration-specialist", "path": "blockchain-web3/web3-integration-specialist.md", "category": "blockchain-web3", "type": "agent", "description": "Use this agent when building Web3 frontend applications and wallet integrations. Specializes in blockchain connectivity, wallet interactions (RainbowKit, Reown, WalletConnect), ethers.js/viem, and dApp development. Examples: <example>Context: User needs to connect wallet to React app user: 'How do I integrate MetaMask and other wallets into my React dApp?' assistant: 'I'll use the web3-integration-specialist agent to set up RainbowKit with comprehensive wallet support and proper error handling' <commentary>Wallet integration requires specialized knowledge of Web3 connection patterns and user experience best practices</commentary></example> <example>Context: User wants to interact with smart contracts user: 'I need to call my smart contract functions from the frontend' assistant: 'I'll use the web3-integration-specialist agent to implement contract interactions using ethers.js with proper transaction handling and state management' <commentary>Smart contract integration requires understanding of blockchain transactions, gas estimation, and async patterns</commentary></example> <example>Context: User building NFT marketplace frontend user: 'I need to display NFT metadata and handle minting transactions' assistant: 'I'll use the web3-integration-specialist agent to create a complete NFT marketplace interface with metadata fetching and transaction management' <commentary>NFT applications require specialized handling of token standards, IPFS integration, and transaction UX</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 281}, {"name": "business-analyst", "path": "business-marketing/business-analyst.md", "category": "business-marketing", "type": "agent", "description": "\"Use when analyzing business processes, gathering requirements from stakeholders, or identifying process improvement opportunities to drive operational efficiency and measurable business value. Specifically:\\\\n\\\\n<example>\\\\nContext: A company needs to understand their customer onboarding process to identify where customers are dropping off. Management wants data-driven insights on bottlenecks.\\\\nuser: \\\"We're losing customers during onboarding. Can you analyze our current process and recommend improvements?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive business analysis of your onboarding process. I'll map current workflows, interview stakeholders, analyze conversion data, identify bottlenecks, and deliver specific recommendations with projected ROI for each improvement.\\\"\\\\n<commentary>\\\\nUse the business-analyst when you need to understand current business processes, gather requirements through stakeholder engagement, and identify data-driven improvement opportunities. This is different from project-manager who focuses on execution - the business-analyst focuses on discovery and optimization.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An organization is building a new system but stakeholders have conflicting requirements. Someone needs to consolidate, prioritize, and document these requirements clearly.\\\\nuser: \\\"We have 20 different business stakeholders with different ideas for our new system. We need someone to sort this out.\\\"\\\\nassistant: \\\"I'll facilitate requirements workshops with all stakeholders, document their needs, identify dependencies and conflicts, prioritize based on business value, and create comprehensive specifications that align all parties.\\\"\\\\n<commentary>\\\\nUse the business-analyst when facing complex requirements elicitation challenges requiring stakeholder management, conflict resolution, and comprehensive documentation. The analyst bridges the gap between business needs and technical solutions.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: After system implementation, management wants to measure whether promised benefits are being realized and identify next-generation improvements.\\\\nuser: \\\"We implemented the new CRM system 6 months ago. Did it actually improve our sales process? What should we do next?\\\"\\\\nassistant: \\\"I'll conduct a post-implementation analysis measuring KPIs against baseline metrics, assess stakeholder adoption, evaluate ROI, and deliver insights on realized benefits plus recommendations for phase 2 enhancements.\\\"\\\\n<commentary>\\\\nUse the business-analyst for post-implementation reviews, benefits realization analysis, and continuous improvement planning. The analyst ensures business value is actually achieved and identifies optimization opportunities.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1105}, {"name": "communication-excellence-coach", "path": "business-marketing/communication-excellence-coach.md", "category": "business-marketing", "type": "agent", "description": "Communication specialist providing email refinement, tone calibration, roleplay practice for difficult conversations, and presentation feedback with research-backed suggestions", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 138}, {"name": "competitive-analyst", "path": "business-marketing/competitive-analyst.md", "category": "business-marketing", "type": "agent", "description": "\"Use when you need to analyze direct and indirect competitors, benchmark against market leaders, or develop strategies to strengthen competitive positioning and market advantage. Specifically:\\\\n\\\\n<example>\\\\nContext: A SaaS company wants to understand how they compare to three main competitors in feature set, pricing, and market positioning to guide their product roadmap.\\\\nuser: \\\"We need a competitive analysis of our top 3 rivals. How do we compare on features, pricing, and market positioning?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive competitive analysis covering feature comparison matrices, pricing strategy analysis, market positioning maps, customer perception research, and strategic recommendations for differentiation. I'll identify gaps in your offering and opportunities to strengthen your competitive position.\\\"\\\\n<commentary>\\\\nUse the competitive-analyst when you need detailed benchmarking against specific competitors. The analyst gathers intelligence on competitor products, pricing, positioning, and strategies to inform your competitive strategy and product development decisions.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An enterprise software vendor detects new market entrants and needs to understand potential threats, their capabilities, and recommended defensive strategies.\\\\nuser: \\\"Three new competitors just entered our market. What should we be worried about, and how should we respond?\\\"\\\\nassistant: \\\"I'll analyze the new entrants' business models, technology capabilities, funding, customer targets, and go-to-market strategies. I'll assess competitive threats, identify your vulnerable segments, and develop defensive and offensive response strategies to maintain market leadership.\\\"\\\\n<commentary>\\\\nUse the competitive-analyst when facing new competitive threats. The analyst evaluates competitor capabilities, strategic intent, and market impact to help you develop appropriate competitive responses and protect market position.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A financial services firm is planning a geographic expansion and needs to understand the competitive landscape, local players, and entry strategies in target markets.\\\\nuser: \\\"We're expanding into three new geographic markets. What's the competitive landscape in each, and what are the best entry strategies?\\\"\\\\nassistant: \\\"I'll map the competitive landscape in each target market, analyze local competitors' strengths and weaknesses, assess market consolidation trends, evaluate regulatory factors, and provide region-specific entry strategies with competitive positioning recommendations.\\\"\\\\n<commentary>\\\\nUse the competitive-analyst for market-specific competitive analysis. The analyst helps you understand local competitive dynamics, identify opportunities and threats in new markets, and develop market-entry strategies that account for regional competitive factors.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 216}, {"name": "content-marketer", "path": "business-marketing/content-marketer.md", "category": "business-marketing", "type": "agent", "description": "\"Use this agent when you need to develop comprehensive content strategies, create SEO-optimized marketing content, or execute multi-channel content campaigns to drive engagement and conversions. Invoke this agent for content planning, content creation, audience analysis, and measuring content ROI. Specifically:\\\\n\\\\n<example>\\\\nContext: Startup has launched a new SaaS product and needs to build organic traffic through content marketing with limited budget.\\\\nuser: \\\"We just launched our SaaS product. How should we use content to get initial traction and reach our target customers?\\\"\\\\nassistant: \\\"I'll develop a content strategy focused on low-cost, high-impact channels. I'll identify your target audience pain points, create an editorial calendar with keyword-optimized blog posts targeting high-intent search terms, and design lead magnets that convert visitors into qualified leads. I'll prioritize evergreen content that builds long-term authority.\\\"\\\\n<commentary>\\\\nUse this agent when you need a complete content marketing strategy from scratch, including audience research, topic planning, and distribution channels. The agent will ensure all content is aligned with business goals and optimized for search and conversion.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: E-commerce company has 6 months of content published but engagement rates are stagnant at 2% and organic traffic is declining despite increased publishing volume.\\\\nuser: \\\"We're publishing content regularly but not seeing results. Our engagement is stuck at 2% and traffic dropped 20% YoY. What are we doing wrong?\\\"\\\\nassistant: \\\"I'll audit your existing content for SEO gaps, competitor positioning, and conversion optimization. I'll identify underperforming content to refresh, recommend repurposing strategies to extend content lifespan, and restructure your distribution approach across owned, earned, and paid channels. I'll provide specific optimizations: title rewrites, internal linking strategies, and CTA improvements that typically improve engagement 40-60%.\\\"\\\\n<commentary>\\\\nUse this agent when existing content performance is below targets. The agent will analyze what's working and what isn't, then provide specific, data-driven optimizations to recover and improve metrics.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: B2B software company needs content support for an upcoming product launch campaign with coordinated messaging across blog, email, social media, and paid advertising channels.\\\\nuser: \\\"We're launching a major product feature in 6 weeks. We need content for launch day, pre-launch awareness, and post-launch nurturing across all channels.\\\"\\\\nassistant: \\\"I'll create an integrated launch content calendar including thought leadership pieces for your CEO, technical deep-dives for early adopters, social media assets for each platform, email sequences for lead nurturing, and success stories from beta users. I'll ensure consistent messaging across channels while optimizing each format for its specific audience and platform dynamics.\\\"\\\\n<commentary>\\\\nUse this agent when executing coordinated marketing campaigns across multiple channels. The agent will develop channel-specific content variants while maintaining brand consistency and driving aligned metrics across all touchpoints.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1194}, {"name": "customer-success-manager", "path": "business-marketing/customer-success-manager.md", "category": "business-marketing", "type": "agent", "description": "\"Use this agent when you need to assess customer health, develop retention strategies, identify upsell opportunities, or maximize customer lifetime value. Invoke this agent for account health analysis, churn prevention, product adoption optimization, and customer success planning. Specifically:\\\\n\\\\n<example>\\\\nContext: Customer success team notices a large enterprise customer has reduced usage frequency by 40% over the past month and hasn't engaged in quarterly business reviews.\\\\nuser: \\\"We're concerned about TechCorp's engagement. Usage is down significantly. Can you assess what's happening and help us develop a retention strategy?\\\"\\\\nassistant: \\\"I'll analyze TechCorp's health metrics including usage patterns, feature adoption, support interactions, and engagement history. I'll identify specific churn risks, assess whether there are product fit issues or implementation gaps, and develop a targeted intervention plan with clear milestones and success metrics.\\\"\\\\n<commentary>\\\\nUse customer-success-manager when you need to evaluate at-risk accounts and create proactive retention strategies. This agent analyzes health signals holistically and prescribes specific interventions.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Product team is rolling out new features and customer success team wants to maximize adoption across the customer base while identifying expansion revenue opportunities.\\\\nuser: \\\"We're launching three new features next month. How do we ensure our customers actually adopt them? And which customers might be willing to upgrade to higher tiers?\\\"\\\\nassistant: \\\"I'll segment your customer base by maturity level and current product usage patterns. I'll develop feature-specific adoption strategies for each segment, identify high-value customers ready for expansion conversations, and create a phased rollout plan with success metrics and training resources.\\\"\\\\n<commentary>\\\\nInvoke this agent when you need to drive adoption of new features or identify expansion opportunities. The agent analyzes customer readiness and creates tailored engagement strategies for different segments.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Quarterly renewal period is approaching and customer success team wants to prepare for renewal conversations with key accounts and identify which customers are at risk of non-renewal.\\\\nuser: \\\"We have 40 accounts up for renewal in the next 90 days. Can you help us prepare renewal strategies and flag which ones might be at risk?\\\"\\\\nassistant: \\\"I'll assess each account's health indicators including NPS, usage trends, executive engagement, feature adoption, and any unresolved issues. I'll prioritize high-risk accounts for intervention, develop renewal talking points based on demonstrated value, and create a pre-renewal engagement plan for each tier of customer.\\\"\\\\n<commentary>\\\\nUse this agent when renewal periods are approaching or you need to forecast renewal risk. The agent quantifies customer health and develops specific pre-renewal strategies to maximize renewal rates.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 151}, {"name": "customer-support", "path": "business-marketing/customer-support.md", "category": "business-marketing", "type": "agent", "description": "Customer support and documentation specialist. Use PROACTIVELY for support ticket responses, FAQ creation, troubleshooting guides, help documentation, and customer satisfaction optimization.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 305}, {"name": "legal-advisor", "path": "business-marketing/legal-advisor.md", "category": "business-marketing", "type": "agent", "description": "Legal documentation and compliance specialist. Use PROACTIVELY for privacy policies, terms of service, GDPR compliance, legal notices, and regulatory documentation. Expert in technology law and data protection.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 530}, {"name": "market-researcher", "path": "business-marketing/market-researcher.md", "category": "business-marketing", "type": "agent", "description": "\"Use this agent when you need to analyze markets, understand consumer behavior, assess competitive landscapes, and size opportunities to inform business strategy and market entry decisions. Specifically:\\\\n\\\\n<example>\\\\nContext: A startup is planning to enter a new industry segment and needs comprehensive market sizing and opportunity analysis.\\\\nuser: \\\"We're considering entering the smart home healthcare market. Can you analyze market size, growth trends, and key competitors?\\\"\\\\nassistant: \\\"I'll use the market-researcher agent to conduct a comprehensive market analysis including sizing, growth projections, competitive mapping, consumer needs analysis, and strategic opportunity identification.\\\"\\\\n<commentary>\\\\nUse the market-researcher agent when you need systematic market analysis that combines sizing, trend validation, competitive intelligence, and consumer insights to support market entry or expansion decisions.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A product team needs to understand consumer segments and validate their target market assumptions.\\\\nuser: \\\"I need to validate our target customer segments. Who are the early adopters and what do they value most?\\\"\\\\nassistant: \\\"I'll launch the market-researcher agent to conduct consumer behavior analysis, segment the market by demographics and psychographics, identify early adopter characteristics, and analyze their purchase drivers and satisfaction factors.\\\"\\\\n<commentary>\\\\nInvoke the market-researcher agent to conduct deep consumer segmentation and behavioral analysis that reveals target audience characteristics, decision journeys, and value perceptions.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A board needs competitive positioning strategy and differentiation recommendations before launch.\\\\nuser: \\\"How are we positioned against competitors? Where's our differentiation advantage?\\\"\\\\nassistant: \\\"I'll use the market-researcher agent to map the competitive landscape, analyze competitor positioning, identify market gaps and white spaces, and recommend strategic positioning that leverages our unique value proposition.\\\"\\\\n<commentary>\\\\nUse the market-researcher agent when you need comprehensive competitive intelligence combined with market gap analysis to develop positioning and differentiation strategy.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 231}, {"name": "marketing-attribution-analyst", "path": "business-marketing/marketing-attribution-analyst.md", "category": "business-marketing", "type": "agent", "description": "Marketing attribution and performance analysis specialist. Use PROACTIVELY for campaign tracking, attribution modeling, conversion optimization, ROI analysis, and marketing mix modeling.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 303}, {"name": "payment-integration", "path": "business-marketing/payment-integration.md", "category": "business-marketing", "type": "agent", "description": "Payment systems integration specialist. Use PROACTIVELY for Stripe, PayPal, and payment processor implementations, checkout flows, subscription billing, webhook handling, and PCI compliance.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 637}, {"name": "product-manager", "path": "business-marketing/product-manager.md", "category": "business-marketing", "type": "agent", "description": "\"Use this agent when you need to make product strategy decisions, prioritize features, or define roadmap plans based on user needs and business goals. Specifically:\\\\n\\\\n<example>\\\\nContext: User is deciding whether to build feature A (high user demand, low revenue impact) or feature B (medium demand, high revenue impact).\\\\nuser: \\\"We have two features competing for Q2. How should we prioritize? Feature A is requested by many users but won't directly drive revenue. Feature B is less requested but could increase our ARPU significantly.\\\"\\\\nassistant: \\\"I'll help you analyze this using product prioritization frameworks. Let me assess the impact, effort, and strategic alignment of both features to recommend a prioritized roadmap that balances user value and business growth.\\\"\\\\n<commentary>\\\\nUse the product-manager agent when you need to balance competing priorities using data-driven frameworks like RICE scoring, user satisfaction metrics, and business impact analysis.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is planning the next quarter and needs to structure goals around product vision and market opportunity.\\\\nuser: \\\"We want to increase retention from 60% to 75% next quarter. What should be our focus areas and how do we measure success?\\\"\\\\nassistant: \\\"I'll develop a strategic roadmap with clear OKRs, identify the retention bottlenecks through user research insights, and prioritize features that address your highest-impact pain points. I'll also establish success metrics and recommend a launch strategy.\\\"\\\\n<commentary>\\\\nInvoke the product-manager agent when you need to develop quarterly strategy, set metrics-driven goals, and create detailed roadmaps aligned with measurable business outcomes.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User has gathered user feedback about pain points but needs to validate and prioritize what to build.\\\\nuser: \\\"Our support team says users are frustrated with onboarding. We've collected 50 feedback items. How do we know what to build first?\\\"\\\\nassistant: \\\"I'll analyze the feedback patterns, validate the problem through usage data and user interviews, assess the impact on retention and NPS, and create a prioritized list of improvements using pain point analysis and effort estimation.\\\"\\\\n<commentary>\\\\nUse the product-manager agent when you need to synthesize qualitative feedback into validated product requirements, translate user problems into prioritized solutions, and ensure alignment with business objectives.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 303}, {"name": "product-strategist", "path": "business-marketing/product-strategist.md", "category": "business-marketing", "type": "agent", "description": "Product strategy and roadmap planning specialist. Use PROACTIVELY for product positioning, market analysis, feature prioritization, go-to-market strategy, and competitive intelligence.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1096}, {"name": "project-manager", "path": "business-marketing/project-manager.md", "category": "business-marketing", "type": "agent", "description": "\"Use this agent when you need to establish project plans, track execution progress, manage risks, control budget/schedule, and coordinate stakeholders across complex initiatives. Specifically:\\\\n\\\\n<example>\\\\nContext: A software team is starting a major product release with multiple dependencies and tight deadlines. The stakeholders need a comprehensive project plan with timeline, resource allocation, and risk mitigation strategies.\\\\nuser: \\\"We're launching a new payment processing platform in Q2. Can you help us plan the project, identify risks, and set up tracking?\\\"\\\\nassistant: \\\"I'll establish a comprehensive project management plan including scope definition, work breakdown structure, detailed timeline with milestones, resource allocation strategy, risk register with mitigation plans, budget estimates, and communication protocols. I'll also set up progress tracking mechanisms and escalation procedures.\\\"\\\\n<commentary>\\\\nInvoke project-manager when a project needs comprehensive planning from inception, including scope, timeline, budget, resources, and risk management. This is distinct from scrum-master (which facilitates team execution within sprints) and differs in scope than a single-area task.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A mid-project review shows the team is running 2 weeks behind schedule, budget is trending 12% over, and there are unresolved dependency issues with another team.\\\\nuser: \\\"Our project is sliding. We're behind schedule, over budget, and stuck waiting on another team. I need to understand what's happening and how to fix it.\\\"\\\\nassistant: \\\"I'll conduct a project health assessment: analyze schedule variance and critical path to identify what's causing the delay, review budget performance and forecast final costs, identify blocking dependencies and propose resolution strategies, assess risk mitigation effectiveness, and develop a corrective action plan with stakeholder communication strategy.\\\"\\\\n<commentary>\\\\nUse project-manager when a project is in execution phase and you need to address performance issues (schedule, budget, scope, quality) or resolve cross-team dependencies and blockers. Project-manager handles systemic project problems, not just individual team execution.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A project is nearing completion with deliverables ready for handoff. The team needs to verify all objectives were met, document lessons learned, and properly close the project.\\\\nuser: \\\"We're wrapping up the mobile app redesign. Everything seems done but I want to make sure we're closing this properly. Need to document what we learned and ensure all deliverables are signed off.\\\"\\\\nassistant: \\\"I'll manage project closure: verify all deliverables against acceptance criteria, confirm stakeholder sign-off, facilitate lessons learned session to capture what worked well and areas for improvement, ensure complete documentation, conduct team retrospective, and create archive for future reference. I'll also compile final metrics on schedule, budget, quality, and team satisfaction.\\\"\\\\n<commentary>\\\\nInvoke project-manager at the end of a project lifecycle to ensure proper closure, stakeholder handoff, documentation completion, and organizational learning. This captures the full project management cycle from planning through closure.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 292}, {"name": "risk-manager", "path": "business-marketing/risk-manager.md", "category": "business-marketing", "type": "agent", "description": "Risk management and portfolio analysis specialist. Use PROACTIVELY for portfolio risk assessment, position sizing, R-multiple analysis, hedging strategies, and risk-adjusted performance measurement.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 307}, {"name": "sales-automator", "path": "business-marketing/sales-automator.md", "category": "business-marketing", "type": "agent", "description": "Sales automation and outreach specialist. Use PROACTIVELY for cold email campaigns, follow-up sequences, proposal templates, case studies, sales scripts, and conversion optimization.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 408}, {"name": "sales-engineer", "path": "business-marketing/sales-engineer.md", "category": "business-marketing", "type": "agent", "description": "\"Use this agent when you need to conduct technical pre-sales activities including solution architecture, proof-of-concept development, and technical demonstrations for complex sales deals. Specifically:\\\\n\\\\n<example>\\\\nContext: A prospect with complex technical requirements needs a custom solution designed and demonstrated before committing to evaluation.\\\\nuser: \\\"We have a potential customer with high technical requirements: 10k+ transaction throughput, sub-100ms latency, and complex integrations. They want to see this works before signing an evaluation agreement.\\\"\\\\nassistant: \\\"I'll conduct discovery to understand their technical landscape, design a solution architecture that addresses their requirements, create a POC environment demonstrating feasibility, and prepare a technical walkthrough addressing their integration needs and performance expectations.\\\"\\\\n<commentary>\\\\nUse the sales-engineer agent when you need to design and demonstrate technical solutions that address specific prospect requirements. This agent bridges technical capabilities with sales objectives, particularly for complex enterprise deals requiring proof of concept.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Sales team is facing technical objections from a qualified prospect and needs expert help addressing security, scalability, or integration concerns.\\\\nuser: \\\"The prospect's security team is concerned about our compliance posture and data residency. They also want to know how we handle failover and disaster recovery. Can someone address these concerns technically?\\\"\\\\nassistant: \\\"I'll prepare a comprehensive technical response covering our security architecture, compliance mappings, data residency options, and disaster recovery procedures. I'll create documentation showing how our solution meets their requirements and schedule a technical discussion with their team to answer detailed questions.\\\"\\\\n<commentary>\\\\nInvoke sales-engineer when technical objections or deep architectural questions need expert answers that build prospect confidence and move the deal forward.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A prospect is ready to move forward and needs a detailed RFP response with technical specifications, architecture diagrams, and implementation roadmap.\\\\nuser: \\\"We received an RFP from a high-value prospect. They need detailed technical specifications, security documentation, performance benchmarks, and a proposed implementation timeline. This needs to be thorough and competitive.\\\"\\\\nassistant: \\\"I'll build a comprehensive RFP response including detailed architecture diagrams, security and compliance analysis, performance specifications with benchmarks, integration capabilities assessment, customization options, implementation roadmap with milestones, and risk mitigation strategies. I'll ensure the response is competitive and positions our solution as the best technical fit.\\\"\\\\n<commentary>\\\\nUse this agent for RFP/RFI responses and formal technical proposals when you need professional documentation that demonstrates technical fit and differentiates against competitors.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 159}, {"name": "salesforce-expert", "path": "business-marketing/salesforce-expert.md", "category": "business-marketing", "type": "agent", "description": "Provide expert Salesforce Platform guidance, including Apex Enterprise Patterns, LWC, integration, and Aura-to-LWC migration.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 106}, {"name": "scrum-master", "path": "business-marketing/scrum-master.md", "category": "business-marketing", "type": "agent", "description": "\"Use when teams need facilitation, process optimization, velocity improvement, or agile ceremony management—especially for sprint planning, retrospectives, impediment removal, and scaling agile practices across multiple teams. Specifically:\\\\n\\\\n<example>\\\\nContext: A team is struggling with sprint planning, taking 4+ hours with unclear goals and inconsistent velocity estimates\\\\nuser: \\\"Our 8-person team wastes too much time in sprint planning. Stories are poorly sized, we never agree on the goal, and our estimates vary wildly. Velocity bounces between 20-60 points each sprint.\\\"\\\\nassistant: \\\"I'll help optimize sprint planning by establishing estimation consistency through planning poker, breaking stories into better-sized increments, facilitating clear sprint goals aligned to product strategy, implementing capacity planning, and creating a reusable definition of done. This should reduce planning time to 1.5 hours and stabilize velocity.\\\"\\\\n<commentary>\\\\nInvoke scrum-master when a team's ceremonies are inefficient, estimates are inconsistent, or sprint goals lack clarity. This agent excels at facilitating structured planning sessions and establishing sustainable rhythms.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Multiple teams across the organization are using different agile frameworks and processes with little coordination, creating bottlenecks at sprint boundaries\\\\nuser: \\\"We have 4 product teams, each doing Scrum differently. One team completes sprints mid-week, another doesn't track velocity, and nobody talks about dependencies. We need to scale agile across the organization without being too prescriptive.\\\"\\\\nassistant: \\\"I'll help establish a Scrum of Scrums structure, align sprint calendars, create a shared definition of done, implement dependency mapping, establish consistent velocity tracking, and coach teams on cross-team communication. We'll use a SAFe or LeSS approach that maintains team autonomy while enabling coordination.\\\"\\\\n<commentary>\\\\nUse scrum-master for organizational scaling challenges, framework alignment, inter-team coordination, and establishing consistent agile practices across multiple teams without creating silos.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team has high turnover, morale is low, retrospectives feel unproductive, and impediments go unresolved for weeks\\\\nuser: \\\"Our 6-person team lost 2 members recently and morale is low. Retros have become complaint sessions with no follow-through. We also have 3 lingering blockers no one owns—unclear who should fix them.\\\"\\\\nassistant: \\\"I'll facilitate team recovery by creating psychological safety in retrospectives, establishing escalation paths for impediments with 48-hour resolution targets, implementing action item ownership with tracking, running team health checks, coaching on conflict resolution, and rebuilding trust through celebration of wins.\\\"\\\\n<commentary>\\\\nInvoke scrum-master when team dynamics suffer, retrospectives become unproductive, impediments languish, or morale drops. This agent focuses on team health, psychological safety, and sustainable improvement.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 120}, {"name": "seo-specialist", "path": "business-marketing/seo-specialist.md", "category": "business-marketing", "type": "agent", "description": "\"Use this agent PROACTIVELY when you need comprehensive SEO optimization — technical audits, keyword strategy, content optimization, structured data, or search ranking recovery. Specifically:\\\\n\\\\n<example>\\\\nContext: An e-commerce company is experiencing declining organic traffic and needs a systematic SEO audit and recovery strategy.\\\\nuser: \\\"Our organic traffic dropped 30% after Google's latest algorithm update. Can you audit our technical SEO, identify issues, and create a recovery plan?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive technical SEO audit examining crawl errors, site architecture, Core Web Vitals, structured data, and internal linking. I'll analyze your content for thin pages and optimization gaps, review your backlink profile, assess algorithm impact, and deliver a prioritized recovery strategy with implementation timelines and monitoring dashboards.\\\"\\\\n<commentary>\\\\nUse SEO specialist when you need a full technical SEO audit combined with strategic recommendations for fixing algorithmic issues and improving search visibility. This agent handles deep technical analysis and recovery planning.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A software startup wants to improve search rankings for high-intent, high-value keywords in their target market.\\\\nuser: \\\"We want to rank for enterprise SaaS keywords like 'cloud-based project management for teams' and 'enterprise collaboration tools.' Can you develop a keyword strategy and content roadmap?\\\"\\\\nassistant: \\\"I'll conduct keyword research identifying search volumes, keyword difficulty, and commercial intent. I'll analyze competitor content strategies, identify content gaps and opportunities, develop a content roadmap prioritizing high-impact keywords, and provide on-page optimization guidelines ensuring each piece ranks for target keywords.\\\"\\\\n<commentary>\\\\nInvoke SEO specialist when building comprehensive keyword strategies and content roadmaps for ranking on high-value search terms. The agent combines keyword research, competitor analysis, and content planning.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A media publisher needs to implement structured data across hundreds of pages to enable rich results and improve CTR.\\\\nuser: \\\"We need to implement schema markup across our articles, recipes, and videos to get rich snippets in search results. How do we scale this across 5,000+ pages?\\\"\\\\nassistant: \\\"I'll assess your content structure and identify schema types needed for each content category. I'll develop schema implementation templates, create validation procedures using Rich Results Test, design a rollout plan for your CMS, and establish monitoring to track rich results coverage and CTR improvements.\\\"\\\\n<commentary>\\\\nUse SEO specialist for technical implementation projects like structured data deployment, site architecture changes, and complex SEO infrastructure improvements requiring specialized technical knowledge.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 516}, {"name": "trend-analyst", "path": "business-marketing/trend-analyst.md", "category": "business-marketing", "type": "agent", "description": "\"Use when analyzing emerging patterns, predicting industry shifts, or developing future scenarios to inform strategic planning and competitive positioning. Specifically:\\\\n\\\\n<example>\\\\nContext: A software company wants to understand how their market will evolve over the next 3-5 years to guide product investment decisions.\\\\nuser: \\\"Our board is asking where the software development market is headed. What trends should we capitalize on to stay competitive?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive trend analysis scanning technology signals, patent filings, research publications, and industry reports. I'll identify 5-7 major emerging trends like AI-assisted development, low-code platforms, and cloud-native architecture. For each trend, I'll assess adoption curves, competitive impact, market opportunity size, and timing for strategic positioning. I'll deliver scenarios showing different market evolution paths with recommended investments for each.\\\"\\\\n<commentary>\\\\nUse trend-analyst when leadership needs to make strategic investments based on market evolution forecasts. The agent synthesizes weak signals into coherent trend narratives that justify long-term bets.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An established retailer is concerned about disruption and wants to understand emerging retail trends and customer behavior shifts.\\\\nuser: \\\"We're a traditional retailer worried about irrelevance. What retail trends should we prepare for and where should we invest?\\\"\\\\nassistant: \\\"I'll analyze emerging retail trends including shifts toward sustainable consumption, direct-to-consumer models, AI-powered personalization, and hybrid shopping experiences. I'll assess which trends apply to your category, how quickly they're accelerating, competitive responses, and the window for strategic response. I'll deliver a trend roadmap with near-term (0-12 months), medium-term (1-3 years), and long-term (3+ years) recommendations with risk assessments for each.\\\"\\\\n<commentary>\\\\nInvoke trend-analyst when existing businesses face potential disruption and need to distinguish hype from genuine threats. The agent helps organizations translate broad trends into specific strategic responses.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A venture capital firm is evaluating investment opportunities and needs to understand which emerging trends will create the largest addressable markets.\\\\nuser: \\\"We're looking at 30 startups across AI, climate tech, and fintech. Which trend areas will generate the biggest opportunities in the next 5 years?\\\"\\\\nassistant: \\\"I'll analyze market trends in each domain: AI commoditization, climate-tech market expansion, fintech regulation changes, and infrastructure evolution. For each, I'll project market size growth, adoption trajectories, regulatory tailwinds/headwinds, and competitive dynamics. I'll develop scenarios showing best-case, base-case, and downside outcomes with probability assessments, enabling you to spot which startups are positioned for the strongest trends.\\\"\\\\n<commentary>\\\\nUse trend-analyst for portfolio-level strategy where you need to allocate resources across multiple opportunities based on trend analysis. The agent helps identify which trends have genuine momentum and sustainability.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 219}, {"name": "ux-researcher", "path": "business-marketing/ux-researcher.md", "category": "business-marketing", "type": "agent", "description": "\"Use this agent when you need to conduct user research, analyze user behavior, or generate actionable insights to validate design decisions and uncover user needs. Invoke when you need usability testing, user interviews, survey design, analytics interpretation, persona development, or competitive research to inform product strategy. Specifically:\\\\n\\\\n<example>\\\\nContext: A product team is launching a new feature and needs to understand how users will interact with it before full release.\\\\nuser: \\\"We've built a new checkout flow, but we want to test it with real users first to catch any issues. Can you plan and conduct usability testing?\\\"\\\\nassistant: \\\"I'll design a comprehensive usability test including task flows, participant recruitment criteria, observation protocols, and analysis framework. I'll conduct the study with 6-8 participants, record sessions, analyze drop-off points, and synthesize findings into specific design recommendations to improve conversion and reduce friction.\\\"\\\\n<commentary>\\\\nInvoke ux-researcher when you need empirical validation of design decisions through structured usability testing. This agent will design the research, conduct sessions, and deliver actionable insights that directly improve the product.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A product manager is exploring a new market segment and needs to understand user needs and behaviors before defining requirements.\\\\nuser: \\\"We want to expand into a new user segment, but we don't know their pain points or workflows. How can we understand what they need?\\\"\\\\nassistant: \\\"I'll design a mixed-methods research approach combining user interviews with 10-12 target users to uncover pain points, in-context observations to understand workflows, and a survey to validate findings across a broader population. I'll synthesize results into personas, journey maps, and opportunity areas to guide your product roadmap.\\\"\\\\n<commentary>\\\\nUse ux-researcher for exploratory research when you need to understand user needs, motivations, and behaviors in unfamiliar segments. This agent generates the user insights and mental models needed to make strategic product decisions.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Analytics show a 40% drop-off in your user funnel but the team doesn't understand why users are leaving.\\\\nuser: \\\"Our analytics show users are abandoning the onboarding flow at the same step. What's causing this and how do we fix it?\\\"\\\\nassistant: \\\"I'll analyze behavioral analytics to map the exact moment and context of drop-offs, conduct targeted user interviews with users who abandoned at that step to uncover reasons, review competitor onboarding flows, and synthesize findings into design recommendations. I'll prioritize the highest-impact changes and design iterations to test.\\\"\\\\n<commentary>\\\\nInvoke ux-researcher when quantitative metrics show a problem but you need qualitative understanding of the root cause. This agent combines analytics interpretation with user research to translate metrics into actionable insights.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 198}, {"name": "adr-generator", "path": "data-ai/adr-generator.md", "category": "data-ai", "type": "agent", "description": "Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 67}, {"name": "ai-engineer", "path": "data-ai/ai-engineer.md", "category": "data-ai", "type": "agent", "description": "\"Use this agent when architecting, implementing, or optimizing end-to-end AI systems—from model selection and training pipelines to production deployment and monitoring. Specifically:\\\\n\\\\n<example>\\\\nContext: A user is building a recommendation system and needs guidance on model architecture, training infrastructure, and production deployment strategy.\\\\nuser: \\\"I need to build a recommendation engine that serves predictions with <100ms latency. What's the best approach for model selection, training infrastructure, and deployment?\\\"\\\\nassistant: \\\"I'll design the AI system architecture. Let me assess your data characteristics, performance requirements, and infrastructure constraints to recommend the right model type, training pipeline, and inference optimization strategy.\\\"\\\\n<commentary>\\\\nUse the ai-engineer when the user needs comprehensive AI system design spanning architecture decisions, model selection, training setup, and deployment patterns all together.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A user has a PyTorch model in research stage and needs to optimize it for production deployment at scale with latency and cost constraints.\\\\nuser: \\\"We have a working PyTorch model but need to deploy it to handle 10k requests/second with sub-50ms latency. What optimization techniques should we use?\\\"\\\\nassistant: \\\"I'll develop an optimization strategy using quantization, pruning, and distillation techniques, then set up a deployment architecture with model serving, batching, and caching to meet your latency requirements.\\\"\\\\n<commentary>\\\\nUse the ai-engineer for production optimization tasks that require selecting and implementing multiple optimization techniques while considering deployment constraints.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A user is implementing a multi-modal AI system combining vision and language models and needs to ensure it meets fairness, explainability, and governance requirements.\\\\nuser: \\\"We're building a multi-modal system with vision and language components. How do we ensure it's fair, explainable, and maintains governance standards for production?\\\"\\\\nassistant: \\\"I'll design the multi-modal architecture with bias detection, fairness metrics, and explainability tools. I'll also establish governance frameworks for model versioning, monitoring, and incident response.\\\"\\\\n<commentary>\\\\nUse the ai-engineer when building complex AI systems that require careful attention to ethical considerations, governance, monitoring, and cross-component integration.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 2180}, {"name": "amplitude-experiment-implementation", "path": "data-ai/amplitude-experiment-implementation.md", "category": "data-ai", "type": "agent", "description": "This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 53}, {"name": "blueprint-mode-codex", "path": "data-ai/blueprint-mode-codex.md", "category": "data-ai", "type": "agent", "description": "Executes structured workflows with strict correctness and maintainability. Enforces a minimal tool usage policy, never assumes facts, prioritizes reproducible solutions, self-correction, and edge-case handling.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 56}, {"name": "blueprint-mode", "path": "data-ai/blueprint-mode.md", "category": "data-ai", "type": "agent", "description": "Executes structured workflows (Debug, Express, Main, Loop) with strict correctness and maintainability. Enforces an improved tool usage policy, never assumes facts, prioritizes reproducible solutions, self-correction, and edge-case handling.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 75}, {"name": "clojure-interactive-programming", "path": "data-ai/clojure-interactive-programming.md", "category": "data-ai", "type": "agent", "description": "Expert Clojure pair programmer with REPL-first methodology, architectural oversight, and interactive problem-solving. Enforces quality standards, prevents workarounds, and develops solutions incrementally through live REPL evaluation before file modifications.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 47}, {"name": "code-tour", "path": "data-ai/code-tour.md", "category": "data-ai", "type": "agent", "description": "Expert agent for creating and maintaining VSCode CodeTour files with comprehensive schema support and best practices", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 63}, {"name": "computer-vision-engineer", "path": "data-ai/computer-vision-engineer.md", "category": "data-ai", "type": "agent", "description": "Computer vision and image processing specialist. Use PROACTIVELY for image analysis, object detection, face recognition, OCR implementation, and visual AI applications.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 353}, {"name": "data-analyst", "path": "data-ai/data-analyst.md", "category": "data-ai", "type": "agent", "description": "\"Use when you need to extract insights from business data, create dashboards and reports, or perform statistical analysis to support decision-making. Specifically:\\\\n\\\\n<example>\\\\nContext: You have customer transaction data and need to understand which product segments drive the most revenue and profitability.\\\\nuser: \\\"I need to analyze our sales data to identify high-margin product categories and customer segments. We have SQL access to our warehouse and want actionable insights.\\\"\\\\nassistant: \\\"I'll analyze your sales data using SQL to profile revenue and margins by product and customer segment, then create visualizations showing the top performers and opportunities. This will help stakeholders prioritize which segments to focus on.\\\"\\\\n<commentary>\\\\nUse the data-analyst agent when you need to investigate business metrics, segment customers, or identify trends using queries and statistical methods. The agent will extract data, perform analysis, and present findings clearly to non-technical stakeholders.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Your company tracks KPIs across multiple departments and needs a consolidated dashboard to monitor business health.\\\\nuser: \\\"Can you build a dashboard that shows our key performance indicators? We need to track monthly revenue, user retention, support ticket volume, and conversion rates. It should update daily.\\\"\\\\nassistant: \\\"I'll develop a comprehensive BI dashboard connecting to your data sources, calculating the key metrics you need, and designing clear visualizations with interactive filters so stakeholders can drill down into the data they care about.\\\"\\\\n<commentary>\\\\nInvoke the data-analyst agent when you need to build BI dashboards, set up metric definitions, or create self-service reporting tools. The agent specializes in translating business requirements into clear, maintainable analytics infrastructure.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Your team suspects customer behavior has changed significantly in the past quarter and needs statistical evidence to support a strategic pivot.\\\\nuser: \\\"We think our user churn rate has increased recently. Can you analyze retention trends and determine if the change is statistically significant? We need to understand what's driving it.\\\"\\\\nassistant: \\\"I'll perform time series analysis on your retention data, conduct statistical hypothesis testing to confirm the change is significant, segment users to identify which groups are most affected, and provide visualizations with clear takeaways for leadership.\\\"\\\\n<commentary>\\\\nUse the data-analyst agent when you need statistical rigor to validate hypotheses, detect anomalies, or perform cohort analysis. The agent applies appropriate statistical methods and communicates findings in business terms.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 255}, {"name": "data-engineer", "path": "data-ai/data-engineer.md", "category": "data-ai", "type": "agent", "description": "\"Use PROACTIVELY when you need to design, build, or optimize data pipelines, dbt transformation models, ETL/ELT processes, and data infrastructure spanning Kafka, BigQuery, Databricks, Snowflake, and Iceberg lakehouses. Invoke when designing data platforms, implementing pipeline orchestration, handling data quality issues, or optimizing data processing costs. Specifically:\\\\n\\\\n<example>\\\\nContext: A user needs to build a new data pipeline to ingest sales data from multiple sources into a data warehouse.\\\\nuser: \\\"We need to create an ETL pipeline that ingests daily sales data from our Salesforce, Shopify, and internal databases into Snowflake. It needs to run every 6 hours and maintain data quality.\\\"\\\\nassistant: \\\"I'll design a comprehensive data pipeline architecture for your requirements. Let me analyze your data sources, set up managed EL ingestion, define dbt models with tests and contracts for the transformation layer, and set up orchestration using Airflow. I'll also implement idempotent processing and comprehensive monitoring.\\\"\\\\n<commentary>\\\\nUse the data-engineer agent when building new ETL/ELT pipelines, designing data platform architecture, or setting up data ingestion workflows with specific scalability and reliability requirements.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A user has an existing data pipeline that's consuming too much compute resources and running slowly.\\\\nuser: \\\"Our data pipelines are taking 3 hours to complete, and our cloud bill has doubled. We need to optimize performance and reduce costs without losing data quality.\\\"\\\\nassistant: \\\"I'll analyze your pipeline performance, implement query optimization, optimize storage through intelligent partitioning and compression, right-size compute resources, and set up cost monitoring. I'll also implement caching strategies and evaluate more efficient file formats like Parquet or ORC.\\\"\\\\n<commentary>\\\\nUse the data-engineer agent when optimizing existing pipelines for performance, cost reduction, or scalability improvements. This agent specializes in tuning pipelines without compromising data quality or SLAs.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A user needs to ensure data quality and monitoring in their analytics platform.\\\\nuser: \\\"We're getting complaints about data accuracy in our analytics dashboards. Some metrics are inconsistent and we have no visibility into data pipeline health. We need comprehensive data quality checks and monitoring.\\\"\\\\nassistant: \\\"I'll implement a data quality framework with validation rules for completeness, accuracy, and consistency, backed by Great Expectations and dbt tests. I'll set up monitoring for pipeline SLAs, data freshness, and anomalies. I'll create dashboards for data quality metrics and configure alerts for failures.\\\"\\\\n<commentary>\\\\nUse the data-engineer agent when establishing data quality checks, implementing monitoring and observability, or troubleshooting data accuracy issues in existing pipelines.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 972}, {"name": "data-scientist", "path": "data-ai/data-scientist.md", "category": "data-ai", "type": "agent", "description": "\"Use this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets. Invoke this agent for exploratory analysis, hypothesis testing, machine learning model development, and translating findings into business recommendations. Specifically:\\\\n\\\\n<example>\\\\nContext: Product team wants to understand why customer churn increased 15% last month and identify actionable retention levers.\\\\nuser: \\\"We're seeing higher churn recently. Can you analyze our customer data and tell us what's driving it?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive exploratory analysis to identify churn patterns, then build a predictive model to rank the most influential factors. I'll deliver both statistical findings and business recommendations for retention strategies.\\\"\\\\n<commentary>\\\\nUse this agent when you have a business question tied to data. The agent will perform EDA, identify significant patterns, and translate statistical findings into actionable business insights backed by rigorous methodology.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Data engineering team has prepared a new dataset with user behavior logs. The product manager wants to forecast demand for the next quarter.\\\\nuser: \\\"We have three months of behavioral data. Can you build a forecast model for next quarter demand?\\\"\\\\nassistant: \\\"I'll analyze temporal patterns, decompose trends and seasonality, test multiple forecasting approaches (ARIMA, Prophet, neural networks), and deliver a probabilistic forecast with confidence intervals plus recommendations for demand planning.\\\"\\\\n<commentary>\\\\nInvoke this agent when you need predictive modeling on time series data. The agent will select appropriate statistical methods, validate assumptions, and deliver forecasts with quantified uncertainty.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A/B test results are ready. Product team ran a pricing experiment and needs guidance on whether the results are statistically significant and if they should ship the change.\\\\nuser: \\\"We ran an A/B test on pricing. Can you analyze if the results are real and what we should do?\\\"\\\\nassistant: \\\"I'll perform hypothesis testing on your treatment vs. control groups, check statistical significance (p-value, effect size), assess for multiple comparison issues, calculate business impact (ROI, revenue lift), and provide a clear recommendation backed by rigorous statistical analysis.\\\"\\\\n<commentary>\\\\nUse this agent when you have experimental or A/B test results requiring statistical validation and business impact assessment. The agent will verify statistical rigor and translate p-values into business decisions.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1001}, {"name": "demonstrate-understanding", "path": "data-ai/demonstrate-understanding.md", "category": "data-ai", "type": "agent", "description": "Validate user understanding of code, design patterns, and implementation details through guided questioning.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 62}, {"name": "dotnet-maui", "path": "data-ai/dotnet-maui.md", "category": "data-ai", "type": "agent", "description": "Support development of .NET MAUI cross-platform apps with controls, XAML, handlers, and performance best practices.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 58}, {"name": "hlbpa", "path": "data-ai/hlbpa.md", "category": "data-ai", "type": "agent", "description": "Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 51}, {"name": "machine-learning-engineer", "path": "data-ai/machine-learning-engineer.md", "category": "data-ai", "type": "agent", "description": "\"Use this agent when you need to deploy, optimize, or serve machine learning models at scale in production environments. Specifically:\\\\n\\\\n<example>\\\\nContext: User has a trained ML model and needs to deploy it to handle real-time inference requests with minimal latency.\\\\nuser: \\\"I have a PyTorch model that needs to serve 1000+ requests per second. What's the best way to deploy this?\\\"\\\\nassistant: \\\"I'll use the machine-learning-engineer agent to analyze your model, optimize it for inference, and design a serving infrastructure that meets your latency and throughput requirements.\\\"\\\\n<commentary>\\\\nWhen users need production model deployment with strict performance requirements (latency, throughput, or scalability), use the machine-learning-engineer agent to design and implement the serving infrastructure.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User has multiple ML models running in production but they're consuming too much resources and causing slow responses.\\\\nuser: \\\"Our model serving is costing way too much in GPU resources, and inference latency is 500ms. Can we optimize this?\\\"\\\\nassistant: \\\"I'll invoke the machine-learning-engineer agent to analyze your current deployment, apply model optimization techniques like quantization and pruning, and reconfigure your serving infrastructure for better efficiency.\\\"\\\\n<commentary>\\\\nUse the machine-learning-engineer agent when optimizing existing model deployments for performance, reducing resource costs, or improving inference latency in production systems.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is building an edge deployment system for ML models that must run on resource-constrained devices.\\\\nuser: \\\"We need to run our recommendation model on mobile devices. How do we compress and optimize it?\\\"\\\\nassistant: \\\"I'll use the machine-learning-engineer agent to implement model compression, select optimal hardware configurations, and set up update mechanisms for edge deployment.\\\"\\\\n<commentary>\\\\nWhen deploying models to edge devices with constraints on memory, compute, or power, use the machine-learning-engineer agent to handle model compression, hardware optimization, and offline capability.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 132}, {"name": "microsoft-agent-framework-dotnet", "path": "data-ai/microsoft-agent-framework-dotnet.md", "category": "data-ai", "type": "agent", "description": "Create, update, refactor, explain or work with code using the .NET version of Microsoft Agent Framework.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 70}, {"name": "ml-engineer", "path": "data-ai/ml-engineer.md", "category": "data-ai", "type": "agent", "description": "\"Use this agent when building production ML systems requiring model training pipelines, model serving infrastructure, performance optimization, and automated retraining. Specifically:\\\\n\\\\n<example>\\\\nContext: A team needs to implement a complete ML system that trains a recommendation model, serves predictions at scale, and monitors for performance degradation.\\\\nuser: \\\"We need to build an ML pipeline that trains a collaborative filtering model on 100M user events daily, serves predictions sub-100ms, handles model drift, and automatically retrains when accuracy drops.\\\"\\\\nassistant: \\\"I'll architect the complete ML system with data validation pipeline, distributed training on multi-GPU infrastructure, model versioning, production serving with low-latency endpoints, and automated monitoring for prediction drift. I'll set up MLflow for experiment tracking, implement A/B testing for new model versions, and establish auto-retraining triggers with fallback mechanisms.\\\"\\\\n<commentary>\\\\nUse the ml-engineer agent when you need to build end-to-end ML systems from data validation through model serving, including infrastructure for handling production workloads, model governance, and continuous improvement.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing ML service is experiencing latency issues and model degradation, requiring optimization of feature engineering and serving infrastructure.\\\\nuser: \\\"Our recommendation model has gone from 15ms to 150ms latency and accuracy dropped 3% last month. We need to optimize features, compress the model, and potentially switch to batch predictions.\\\"\\\\nassistant: \\\"I'll analyze the performance bottlenecks with profiling, identify feature engineering issues, implement online feature stores for faster lookups, apply model compression techniques like quantization, and potentially refactor to batch + caching patterns. I'll compare serving strategies (REST vs gRPC vs batch) and implement canary deployments for safe rollout.\\\"\\\\n<commentary>\\\\nInvoke this agent when addressing production ML system performance issues, model degradation, infrastructure bottlenecks, and optimization of existing deployed models.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A data science team has a trained model and needs production deployment with monitoring, A/B testing capability, and auto-retraining infrastructure.\\\\nuser: \\\"We have a trained XGBoost model with 92% accuracy. How do we deploy this safely, test it against the current model, set up monitoring, and enable automatic retraining as new data arrives?\\\"\\\\nassistant: \\\"I'll set up a production deployment pipeline using BentoML or Seldon, implement blue-green deployment for safe rollouts, configure A/B testing with traffic splitting and significance testing, establish monitoring dashboards for prediction drift and performance metrics, implement automated retraining triggers with DVC versioning, and set up rollback procedures.\\\"\\\\n<commentary>\\\\nUse this agent when you have a trained model ready for production and need to handle deployment, monitoring, testing, and operational aspects of maintaining ML systems in production.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 571}, {"name": "mlops-engineer", "path": "data-ai/mlops-engineer.md", "category": "data-ai", "type": "agent", "description": "\"Use this agent when you need to design and implement ML infrastructure, set up CI/CD for machine learning models, establish model versioning systems, or optimize ML platforms for reliability and automation. Invoke this agent to build production-grade experiment tracking, implement automated training pipelines, configure GPU resource orchestration, and establish operational monitoring for ML systems. Specifically:\\\\n\\\\n<example>\\\\nContext: A data science team has grown to 50+ data scientists and the ad-hoc model deployment process is causing bottlenecks. Models take 3 days to move from notebook to production with no versioning or rollback capability.\\\\nuser: \\\"We need to professionalize our ML infrastructure. Our team is growing and our current deployment process is completely manual. What should we build?\\\"\\\\nassistant: \\\"I'll design a comprehensive MLOps platform with automated CI/CD pipelines for model validation and deployment, implement model registry with versioning and lineage tracking, set up experiment tracking for reproducibility, configure Kubernetes for resource orchestration, and establish monitoring/alerting. This will reduce deployment time from 3 days to under 30 minutes with full automation coverage.\\\"\\\\n<commentary>\\\\nUse this agent when your organization needs a complete MLOps platform overhaul. The agent will assess current workflows, design architecture, and implement end-to-end automation for model lifecycle management.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company has multiple ML models in production but lacks visibility into model performance, data drift, or system failures. Models occasionally fail in production with no automated detection or rollback.\\\\nuser: \\\"We have models running in production but we don't know if they're healthy. We've had silent failures before. Can you set up monitoring and observability?\\\"\\\\nassistant: \\\"I'll implement comprehensive monitoring covering system metrics, model performance degradation, data drift detection, and cost tracking. I'll configure alerting rules for anomalies, build dashboards for visibility, set up automated logging/aggregation, and establish incident response procedures with automated rollback capabilities.\\\"\\\\n<commentary>\\\\nInvoke this agent when you need robust operational monitoring and automated failure handling for production ML systems. The agent will establish metrics, alerting, and dashboards to maintain platform reliability.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A team wants to optimize cloud costs for their ML infrastructure running thousands of GPU training jobs on Kubernetes. Resource utilization is low (45%) and cloud bills are unexpectedly high.\\\\nuser: \\\"Our ML infrastructure costs are out of control. We're not using resources efficiently. How do we optimize?\\\"\\\\nassistant: \\\"I'll audit current resource usage patterns, identify idle/inefficient allocations, implement GPU scheduling optimization, configure spot instances and reserved capacity for cost savings, establish resource quotas and fair sharing policies, and create cost tracking dashboards. This should improve utilization above 70% and reduce cloud spending by 40-60%.\\\"\\\\n<commentary>\\\\nUse this agent when you need to optimize resource efficiency and cloud costs for ML infrastructure. The agent will analyze utilization patterns and implement cost-saving strategies without sacrificing reliability.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 289}, {"name": "monday-bug-fixer", "path": "data-ai/monday-bug-fixer.md", "category": "data-ai", "type": "agent", "description": "Elite bug-fixing agent that enriches task context from Monday.com platform data. Gathers related items, docs, comments, epics, and requirements to deliver production-quality fixes with comprehensive PRs.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 58}, {"name": "ms-sql-dba", "path": "data-ai/ms-sql-dba.md", "category": "data-ai", "type": "agent", "description": "Work with Microsoft SQL Server databases using the MS SQL extension.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 83}, {"name": "neon-migration-specialist", "path": "data-ai/neon-migration-specialist.md", "category": "data-ai", "type": "agent", "description": "Safe Postgres migrations with zero-downtime using Neon's branching workflow. Test schema changes in isolated database branches, validate thoroughly, then apply to production—all automated with support for Prisma, Drizzle, or your favorite ORM.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 83}, {"name": "neon-optimization-analyzer", "path": "data-ai/neon-optimization-analyzer.md", "category": "data-ai", "type": "agent", "description": "Identify and fix slow Postgres queries automatically using Neon's branching workflow. Analyzes execution plans, tests optimizations in isolated database branches, and provides clear before/after performance metrics with actionable code fixes.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 84}, {"name": "nlp-engineer", "path": "data-ai/nlp-engineer.md", "category": "data-ai", "type": "agent", "description": "\"Use when building production NLP systems, implementing text processing pipelines, developing language models, or solving domain-specific NLP tasks like named entity recognition, sentiment analysis, or machine translation. Specifically:\\\\n\\\\n<example>\\\\nContext: E-commerce platform needs to automatically categorize customer reviews into product categories and extract sentiment\\\\nuser: \\\"We have 500K customer reviews. Build an NLP pipeline to categorize them by product and extract sentiment with confidence scores\\\"\\\\nassistant: \\\"I'll build a multi-task NLP pipeline: first train a text classifier for product categorization (targeting F1 > 0.88), then implement sentiment analysis with aspect-based capabilities. Pipeline includes preprocessing, tokenization, multilingual support for international reviews, and real-time inference optimized for sub-100ms latency per review.\\\"\\\\n<commentary>\\\\nInvoke nlp-engineer when you need to build end-to-end production NLP pipelines combining multiple tasks (classification, extraction, sentiment). This differs from data-scientist (who analyzes text data) by focusing on building deployable NLP systems.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Healthcare company needs to extract medical entities (drugs, symptoms, procedures) from patient notes for structured data\\\\nuser: \\\"Extract medical entities from unstructured patient notes automatically. We need high precision for critical medications and procedures\\\"\\\\nassistant: \\\"I'll implement a multilingual NER system with domain-specific entity types. Solution includes custom training on your medical data, active learning for challenging cases, post-processing rules for validation, and confidence scoring. Model optimized to <1GB with 95ms inference latency for integration into your clinical workflow.\\\"\\\\n<commentary>\\\\nUse nlp-engineer when implementing specialized NLP tasks like named entity recognition with domain-specific requirements. The agent handles model selection, training, optimization, and production deployment.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: SaaS platform supports users in 15 languages and needs intelligent translation and localization\\\\nuser: \\\"Implement machine translation and localization for our product supporting 15 languages. Quality must be domain-aware and fast\\\"\\\\nassistant: \\\"I'll design a translation system using fine-tuned MT models with domain adaptation, implement language detection for automatic routing, add back-translation for quality assurance, and optimize for real-time serving. Includes fallback strategies, terminology management, and monitoring for translation quality drift across languages.\\\"\\\\n<commentary>\\\\nInvoke nlp-engineer for complex multilingual NLP challenges requiring specialized architecture (translation, code-switching, locale management). The agent handles full pipeline design from architecture to production monitoring.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 265}, {"name": "postgresql-dba", "path": "data-ai/postgresql-dba.md", "category": "data-ai", "type": "agent", "description": "Work with PostgreSQL databases using the PostgreSQL extension.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 145}, {"name": "power-bi-data-modeling-expert", "path": "data-ai/power-bi-data-modeling-expert.md", "category": "data-ai", "type": "agent", "description": "Expert Power BI data modeling guidance using star schema principles, relationship design, and Microsoft best practices for optimal model performance and usability.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 102}, {"name": "power-bi-dax-expert", "path": "data-ai/power-bi-dax-expert.md", "category": "data-ai", "type": "agent", "description": "Expert Power BI DAX guidance using Microsoft best practices for performance, readability, and maintainability of DAX formulas and calculations.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 87}, {"name": "power-platform-expert", "path": "data-ai/power-platform-expert.md", "category": "data-ai", "type": "agent", "description": "Power Platform expert providing guidance on Code Apps, canvas apps, Dataverse, connectors, and Power Platform best practices", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 74}, {"name": "prd", "path": "data-ai/prd.md", "category": "data-ai", "type": "agent", "description": "Generate a comprehensive Product Requirements Document (PRD) in Markdown, detailing user stories, acceptance criteria, technical considerations, and metrics. Optionally create GitHub issues upon user confirmation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 151}, {"name": "prompt-builder", "path": "data-ai/prompt-builder.md", "category": "data-ai", "type": "agent", "description": "Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 140}, {"name": "prompt-engineer", "path": "data-ai/prompt-engineer.md", "category": "data-ai", "type": "agent", "description": "A specialized chat mode for analyzing and improving prompts. Every user input is treated as a prompt to be improved. It evaluates the prompt against a systematic framework of prompt engineering best practices, then generates a new improved prompt. Use this agent when you need to turn vague or incomplete instructions into precise, production-ready system prompts.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 155}, {"name": "quant-analyst", "path": "data-ai/quant-analyst.md", "category": "data-ai", "type": "agent", "description": "Quantitative finance and algorithmic trading specialist. Use PROACTIVELY for financial modeling, trading strategy development, backtesting, risk analysis, and portfolio optimization.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 419}, {"name": "se-product-manager-advisor", "path": "data-ai/se-product-manager-advisor.md", "category": "data-ai", "type": "agent", "description": "Product management guidance for creating GitHub issues, aligning business value with user needs, and making data-driven product decisions", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 69}, {"name": "se-system-architecture-reviewer", "path": "data-ai/se-system-architecture-reviewer.md", "category": "data-ai", "type": "agent", "description": "System architecture review specialist with Well-Architected frameworks, design validation, and scalability analysis for AI and distributed systems", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 80}, {"name": "semantic-kernel-dotnet", "path": "data-ai/semantic-kernel-dotnet.md", "category": "data-ai", "type": "agent", "description": "Create, update, refactor, explain or work with code using the .NET version of Semantic Kernel.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 58}, {"name": "simple-app-idea-generator", "path": "data-ai/simple-app-idea-generator.md", "category": "data-ai", "type": "agent", "description": "Brainstorm and develop new application ideas through fun, interactive questioning until ready for specification creation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 96}, {"name": "software-engineer-agent-v1", "path": "data-ai/software-engineer-agent-v1.md", "category": "data-ai", "type": "agent", "description": "Expert-level software engineering agent. Deliver production-ready, maintainable code. Execute systematically and specification-driven. Document comprehensively. Operate autonomously and adaptively.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 104}, {"name": "task-planner", "path": "data-ai/task-planner.md", "category": "data-ai", "type": "agent", "description": "Task planner for creating actionable implementation plans - Brought to you by microsoft/edge-ai", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 139}, {"name": "task-researcher", "path": "data-ai/task-researcher.md", "category": "data-ai", "type": "agent", "description": "Task research specialist for comprehensive project analysis - Brought to you by microsoft/edge-ai", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 78}, {"name": "tdd-green", "path": "data-ai/tdd-green.md", "category": "data-ai", "type": "agent", "description": "Implement minimal code to satisfy GitHub issue requirements and make failing tests pass without over-engineering.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 57}, {"name": "tdd-red", "path": "data-ai/tdd-red.md", "category": "data-ai", "type": "agent", "description": "Guide test-first development by writing failing tests that describe desired behaviour from GitHub issue context before implementation exists.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 61}, {"name": "database-admin", "path": "database/database-admin.md", "category": "database", "type": "agent", "description": "Database administration specialist for operations, backups, replication, and monitoring. Use PROACTIVELY for database setup, operational issues, user management, or disaster recovery procedures.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 663}, {"name": "database-administrator", "path": "database/database-administrator.md", "category": "database", "type": "agent", "description": "\"Use this agent when optimizing database performance, implementing high-availability architectures, setting up disaster recovery, or managing database infrastructure for production systems. Specifically:\\\\n\\\\n<example>\\\\nContext: A company's PostgreSQL database is experiencing slow query performance during peak hours and needs optimization for 10k+ concurrent users.\\\\nuser: \\\"Our PostgreSQL database is hitting 500ms query times during peak traffic. We have 500GB of data with complex joins across 20 tables. Need to improve performance while maintaining data consistency.\\\"\\\\nassistant: \\\"I'll analyze your query patterns and database schema to identify optimization opportunities. Let me review the slow query logs and execution plans, then implement index strategies, optimize queries, tune connection pooling, and configure caching. I'll establish performance baselines and set up monitoring to ensure the improvements are maintained.\\\"\\\\n<commentary>\\\\nUse the database-administrator when diagnosing performance issues, optimizing queries, designing index strategies, and tuning database configurations. This agent handles performance analysis and implementation of efficiency improvements.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A critical production database lacks high availability and automated disaster recovery, creating operational risk.\\\\nuser: \\\"We need to implement high availability for our MySQL database. Current RTO is 4 hours and we need it under 15 minutes. We need automated failover and point-in-time recovery capability.\\\"\\\\nassistant: \\\"I'll design a multi-master replication setup with automatic failover using Percona XtraDB Cluster or group replication, configure automated streaming backups with point-in-time recovery, implement health monitoring with automated failover triggers, and test the recovery procedures. I'll aim for 99.99% uptime with RPO under 5 minutes.\\\"\\\\n<commentary>\\\\nUse the database-administrator when designing or implementing high-availability systems, setting up replication topologies, configuring automated failover, and establishing backup and disaster recovery strategies.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A migration from legacy database systems to modern cloud-native databases needs careful planning and execution.\\\\nuser: \\\"We need to migrate 200GB from Oracle to PostgreSQL with zero downtime. We have 50+ applications connecting to this database and we can't afford downtime.\\\"\\\\nassistant: \\\"I'll design a zero-downtime migration strategy using logical replication or ETL processes, set up bidirectional sync during transition period, validate data consistency across systems, coordinate application connection strings, and execute switchover with rollback procedures. I'll handle schema conversions, test failover procedures, and coordinate with teams to ensure smooth cutover.\\\"\\\\n<commentary>\\\\nUse the database-administrator for complex database migrations, version upgrades, and cross-platform migrations that require careful planning and execution with minimal service disruption.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 124}, {"name": "database-architect", "path": "database/database-architect.md", "category": "database", "type": "agent", "description": "\"Database architecture and design specialist. Use PROACTIVELY for database design decisions, data modeling, scalability planning, microservices data patterns, and database technology selection. This agent designs and plans; hand off PostgreSQL tuning to postgres-pro and Neon-specific work to neon-database-architect. Specifically:\\n\\n<example>\\nContext: A startup is building a new SaaS platform for project management and needs to design the database from scratch.\\nuser: \\\"We're starting a new multi-tenant project management app. We need a database schema that handles projects, tasks, comments, file attachments, and user permissions. What should we design?\\\"\\nassistant: \\\"I'll use the database-architect agent to design a greenfield schema for your SaaS platform. I'll discover your access patterns, choose PostgreSQL with row-level security for multi-tenancy, produce DDL with constraints and indexes, and deliver an ER diagram with a migration baseline.\\\"\\n<commentary>\\nInvoke the database-architect for greenfield schema design. It gathers access patterns and consistency requirements first, then produces production-ready DDL with rollback scripts — not just a rough sketch.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: An engineering team is evaluating whether to use PostgreSQL, MongoDB, or a combination for a real-time analytics and recommendation engine.\\nuser: \\\"We need to pick a database stack for a recommendation engine that stores user behavior events, runs ML feature queries, and serves personalized results under 100ms. What should we use?\\\"\\nassistant: \\\"I'll use the database-architect agent to run a technology selection analysis. I'll map each workload (event ingestion, feature store, vector similarity search, low-latency reads) to the best-fit technology and produce a polyglot persistence architecture with rationale and tradeoff documentation.\\\"\\n<commentary>\\nUse the database-architect for technology selection decisions. It evaluates relational, document, vector, graph, and serverless-relational options against your specific access patterns and SLAs — not generic pros/cons lists.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A company needs to migrate a legacy MySQL monolith to a microservices architecture with separate databases per service, including a live cutover with zero downtime.\\nuser: \\\"We have a 500GB MySQL monolith and need to split it into 5 service databases with a live migration — no downtime allowed. How do we plan this?\\\"\\nassistant: \\\"I'll use the database-architect agent to plan your decomposition migration. I'll identify bounded contexts, design the strangler-fig extraction sequence, write dual-write migration scripts with rollback, and produce a cutover runbook with data-consistency checkpoints.\\\"\\n<commentary>\\nInvoke database-architect for data migration planning across service boundaries. It produces sequenced migration scripts with rollback steps — not just a high-level plan.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 3538}, {"name": "database-optimization", "path": "database/database-optimization.md", "category": "database", "type": "agent", "description": "Database performance optimization and query tuning specialist. Use PROACTIVELY for slow queries, indexing strategies, execution plan analysis, and database performance bottlenecks.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1199}, {"name": "database-optimizer", "path": "database/database-optimizer.md", "category": "database", "type": "agent", "description": "\"Use this agent when you need to analyze slow queries, optimize database performance across multiple systems, or implement indexing strategies to improve query execution. Specifically:\\\\n\\\\n<example>\\\\nContext: A web application is experiencing slow queries on its main user profile lookup, taking 1.2 seconds despite having moderate data volumes, and indexes appear suboptimal.\\\\nuser: \\\"Our user profile queries are taking over a second. Can you analyze the execution plans and suggest optimizations?\\\"\\\\nassistant: \\\"I'll analyze the execution plans, identify missing or inefficient indexes, review table statistics, and test query rewrites. Let me benchmark the current performance and implement strategic indexing and query optimization.\\\"\\\\n<commentary>\\\\nUse the database-optimizer agent when you have specific slow queries or performance issues in existing databases. This agent excels at execution plan analysis, index design, and query rewriting across PostgreSQL, MySQL, MongoDB, and other systems.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A data analytics platform processes millions of records and query response times have degraded from 500ms to 5 seconds as data volume increased, requiring optimization across multiple tables.\\\\nuser: \\\"Our analytics queries have gotten 10x slower as our data grew. What optimizations can help us scale?\\\"\\\\nassistant: \\\"I'll profile slow queries, analyze join patterns, review index coverage, assess partitioning strategies, and optimize aggregations. I can design covering indexes, implement table partitioning, and tune database configuration for analytical workloads.\\\"\\\\n<commentary>\\\\nInvoke the database-optimizer for performance degradation issues related to data growth, complex join operations, or aggregation bottlenecks. This agent specializes in scaling database performance through indexing, partitioning, and query restructuring.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company manages multiple database systems (PostgreSQL, MySQL, MongoDB) and wants to audit database performance across all systems and implement consistent optimization patterns.\\\\nuser: \\\"We have several databases in production. How do we ensure all are optimized and performing well?\\\"\\\\nassistant: \\\"I'll assess performance across all systems, identify common bottlenecks, design database-specific optimization strategies, and establish performance baselines. I can implement indexing strategies suited to each system and create monitoring to prevent future degradation.\\\"\\\\n<commentary>\\\\nUse the database-optimizer when you need cross-platform database optimization covering multiple systems. This agent provides holistic performance analysis and can tailor optimizations for PostgreSQL, MySQL, MongoDB, Cassandra, Elasticsearch, and other databases.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 986}, {"name": "neon-auth-specialist", "path": "database/neon-auth-specialist.md", "category": "database", "type": "agent", "description": "Neon Auth implementation specialist. Use PROACTIVELY for Stack Auth integration, user management setup, authentication flows, and security best practices with Neon database.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 125}, {"name": "neon-database-architect", "path": "database/neon-database-architect.md", "category": "database", "type": "agent", "description": "Neon database architecture specialist. Use PROACTIVELY for database schema design, Drizzle ORM integration, query optimization, and serverless performance tuning. Expert in connection management and database migrations.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 144}, {"name": "neon-expert", "path": "database/neon-expert.md", "category": "database", "type": "agent", "description": "General Neon Serverless Postgres consultant. Use PROACTIVELY for initial Neon setup, general database questions, and coordinating with specialized agents (neon-database-architect for schemas/ORM, neon-auth-specialist for authentication).", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 142}, {"name": "nosql-specialist", "path": "database/nosql-specialist.md", "category": "database", "type": "agent", "description": "NoSQL database specialist for MongoDB, Redis, Cassandra, and document/key-value stores. Use PROACTIVELY for schema design, data modeling, performance optimization, and NoSQL architecture decisions.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 244}, {"name": "postgres-pro", "path": "database/postgres-pro.md", "category": "database", "type": "agent", "description": "\"Use when you need to optimize PostgreSQL performance, design high-availability replication, or troubleshoot database issues at scale. Invoke this agent for query optimization, configuration tuning, replication setup, backup strategies, and mastering advanced PostgreSQL features for enterprise deployments. Specifically:\\\\n\\\\n<example>\\\\nContext: Production PostgreSQL database is experiencing slow queries. Average query latency increased from 50ms to 500ms, and the team needs to identify and fix the bottlenecks causing the performance degradation.\\\\nuser: \\\"Our PostgreSQL queries have slowed down significantly. Can you analyze what's wrong and optimize them?\\\"\\\\nassistant: \\\"I'll analyze your query performance using EXPLAIN, check index efficiency, review table statistics, identify missing or unused indexes, and optimize slow queries. I'll also tune your PostgreSQL configuration (shared_buffers, work_mem, checkpoint settings) and set up monitoring to prevent future degradation.\\\"\\\\n<commentary>\\\\nUse this agent when you have production performance issues requiring EXPLAIN analysis, index optimization, and configuration tuning. The agent will diagnose bottlenecks and deliver specific optimizations with measurable latency improvements.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team is planning to scale PostgreSQL to handle 10x current traffic and needs a fault-tolerant replication strategy with automatic failover capability.\\\\nuser: \\\"We need to set up PostgreSQL replication for high availability. We want automatic failover and can accept 1-2 second replication lag. What's the best approach?\\\"\\\\nassistant: \\\"I'll design a streaming replication architecture with synchronous secondaries and automatic failover using Patroni or pg_auto_failover. I'll implement connection pooling with pgBouncer, configure WAL archiving for PITR, set up monitoring dashboards, and create runbooks for common failure scenarios.\\\"\\\\n<commentary>\\\\nInvoke this agent when architecting high-availability PostgreSQL deployments. The agent designs replication strategies, implements failover automation, and ensures RPO/RTO requirements are met with production-ready monitoring.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Database is growing rapidly (1TB+ data) and backup/recovery procedures are inefficient. Current backups take 8 hours and recovery from failure would take even longer, creating unacceptable risk.\\\\nuser: \\\"Our PostgreSQL backups are too slow and recovery would take forever. We need a better backup strategy that doesn't impact production.\\\"\\\\nassistant: \\\"I'll implement physical backups using pg_basebackup with incremental WAL archiving for point-in-time recovery. I'll automate backup scheduling, set up separate backup storage, establish backup validation testing, and configure automated recovery procedures to achieve sub-1-hour RTO with 5-minute RPO.\\\"\\\\n<commentary>\\\\nUse this agent when establishing enterprise-grade backup and disaster recovery procedures. The agent designs backup strategies balancing RPO/RTO requirements, automates procedures, and validates recovery processes.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 260}, {"name": "supabase-schema-architect", "path": "database/supabase-schema-architect.md", "category": "database", "type": "agent", "description": "Supabase database schema design specialist. Use PROACTIVELY for database schema design, migration planning, and RLS policy architecture.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1208}, {"name": "academic-researcher", "path": "deep-research-team/academic-researcher.md", "category": "deep-research-team", "type": "agent", "description": "Academic research specialist for scholarly sources, peer-reviewed papers, and academic literature. Use PROACTIVELY for research paper analysis, literature reviews, citation tracking, and academic methodology evaluation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 531}, {"name": "agent-overview", "path": "deep-research-team/agent-overview.md", "category": "deep-research-team", "type": "agent", "description": "", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 326}, {"name": "competitive-intelligence-analyst", "path": "deep-research-team/competitive-intelligence-analyst.md", "category": "deep-research-team", "type": "agent", "description": "Competitive intelligence and market research specialist. Use PROACTIVELY for competitor analysis, market positioning research, industry trend analysis, business intelligence gathering, and strategic market insights.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 500}, {"name": "data-analyst", "path": "deep-research-team/data-analyst.md", "category": "deep-research-team", "type": "agent", "description": "Use this agent when you need quantitative analysis, statistical insights, or data-driven research. This includes analyzing numerical data, identifying trends, creating comparisons, evaluating metrics, and suggesting data visualizations. The agent excels at finding and interpreting data from statistical databases, research datasets, government sources, and market research.\\n\\nExamples:\\n- <example>\\n  Context: The user wants to understand market trends in electric vehicle adoption.\\n  user: \"What are the trends in electric vehicle sales over the past 5 years?\"\\n  assistant: \"I'll use the data-analyst agent to analyze EV sales data and identify trends.\"\\n  <commentary>\\n  Since the user is asking for trend analysis of numerical data over time, the data-analyst agent is perfect for finding sales statistics, calculating growth rates, and identifying patterns.\\n  </commentary>\\n</example>\\n- <example>\\n  Context: The user needs comparative analysis of different technologies.\\n  user: \"Compare the performance metrics of different cloud providers\"\\n  assistant: \"Let me launch the data-analyst agent to gather and analyze performance benchmarks across cloud providers.\"\\n  <commentary>\\n  The user needs quantitative comparison of metrics, which requires the data-analyst agent to find benchmark data, create comparisons, and identify statistical differences.\\n  </commentary>\\n</example>\\n- <example>\\n  Context: After implementing a new feature, the user wants to analyze its impact.\\n  user: \"We just launched the new recommendation system. Can you analyze its performance?\"\\n  assistant: \"I'll use the data-analyst agent to examine the performance metrics and identify any significant changes.\"\\n  <commentary>\\n  Performance analysis requires statistical evaluation of metrics, trend detection, and data quality assessment - all core capabilities of the data-analyst agent.\\n  </commentary>\\n</example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 902}, {"name": "data-researcher", "path": "deep-research-team/data-researcher.md", "category": "deep-research-team", "type": "agent", "description": "\"Use this agent when you need to discover, collect, and validate data from multiple sources to fuel analysis and decision-making. Invoke this agent for identifying data sources, gathering raw datasets, performing quality checks, and preparing data for downstream analysis or modeling. Specifically:\\\\n\\\\n<example>\\\\nContext: A data scientist needs access to customer behavior data across multiple sources. The data scientist asked you to find and compile raw customer interaction logs, transaction history, and engagement metrics from APIs, databases, and web sources.\\\\nuser: \\\"We need a comprehensive customer dataset combining transaction logs, user engagement, and demographic data from all our sources. Can you find, collect, and validate this data?\\\"\\\\nassistant: \\\"I'll identify all available customer data sources including your transaction database, engagement tracking system, and third-party demographic APIs. I'll collect raw data from each source, validate completeness and accuracy, check for duplicates and inconsistencies, document data lineage, and deliver clean datasets ready for analysis along with a data quality report.\\\"\\\\n<commentary>\\\\nUse data-researcher when you need raw data discovery and collection. This agent excels at finding disparate sources, extracting raw datasets, performing quality validation, and preparing data pipelines for downstream analysts or scientists.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A market research team needs historical social media data, competitor pricing data, and industry reports to inform competitive analysis, but the data is scattered across multiple platforms and sources.\\\\nuser: \\\"We need to gather competitive intelligence data: pricing information from our competitors' websites over the past year, social media sentiment about their products, and relevant industry reports. How can we collect all this?\\\"\\\\nassistant: \\\"I'll systematically discover and collect data from competitor websites (web scraping), social media platforms (API access and monitoring), industry report repositories, and news sources. I'll validate data consistency, handle missing periods, document collection methodology, identify and fix data quality issues, and organize datasets for competitive analysis.\\\"\\\\n<commentary>\\\\nInvoke data-researcher when you need to assemble raw data from diverse, sometimes unstructured sources. The agent handles the data discovery, collection, validation, and preparation work that precedes analytical work.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A researcher has identified several scientific datasets relevant to climate analysis but needs to access them, merge them, check for quality issues, and prepare them for statistical analysis.\\\\nuser: \\\"I've identified 6 public climate datasets from government sources, academic institutions, and satellite databases. Can you access, download, validate, and consolidate them into a single research dataset?\\\"\\\\nassistant: \\\"I'll locate and download each dataset from its source, verify completeness against metadata specifications, check for temporal and geographic coverage, identify and handle missing or outlier values, reconcile different measurement units and formats, remove duplicates across datasets, and deliver a consolidated, quality-checked dataset with full documentation of sources and processing steps.\\\"\\\\n<commentary>\\\\nUse data-researcher for the critical work of assembling and validating raw research datasets. This agent handles discovery, extraction, validation, and preparation—enabling researchers and analysts to focus on analysis rather than data wrangling.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 179}, {"name": "fact-checker", "path": "deep-research-team/fact-checker.md", "category": "deep-research-team", "type": "agent", "description": "Fact verification and source validation specialist. Use PROACTIVELY for claim verification, source credibility assessment, misinformation detection, citation validation, and information accuracy analysis.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 543}, {"name": "nia-oracle", "path": "deep-research-team/nia-oracle.md", "category": "deep-research-team", "type": "agent", "description": "Expert research agent specialized in leveraging Nia's knowledge tools. Use PROACTIVELY for discovering repos/docs, deep technical research, remote codebases exploration, documentation queries, and cross-agent knowledge handoffs. Automatically indexes and searches discovered resources.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 95}, {"name": "query-clarifier", "path": "deep-research-team/query-clarifier.md", "category": "deep-research-team", "type": "agent", "description": "Use this agent when you need to analyze research queries for clarity and determine if user clarification is needed before proceeding with research. This agent should be invoked at the beginning of research workflows to ensure queries are specific and actionable. Examples: <example>Context: The user has created a query-clarifier agent to analyze research queries for clarity. user: \"Tell me about AI\" assistant: \"I'll use the query-clarifier agent to analyze this query for clarity and determine if we need more specific information.\" <commentary>Since the query is quite broad and could refer to many aspects of AI, the query-clarifier agent should analyze it and likely request clarification about which specific aspect of AI the user is interested in.</commentary></example> <example>Context: The user has created a query-clarifier agent to ensure research queries are actionable. user: \"Compare the performance of different sorting algorithms in terms of time complexity\" assistant: \"Let me analyze this query with the query-clarifier agent to ensure it's clear and specific enough for research.\" <commentary>This query is relatively clear but the agent should still analyze it to confirm no clarification is needed before proceeding with the research.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 249}, {"name": "report-generator", "path": "deep-research-team/report-generator.md", "category": "deep-research-team", "type": "agent", "description": "Use this agent when you need to transform synthesized research findings into a comprehensive, well-structured final report. This agent excels at creating readable narratives from complex research data, organizing content logically, and ensuring proper citation formatting. It should be used after research has been completed and findings have been synthesized, as the final step in the research process. Examples: <example>Context: The user has completed research on climate change impacts and needs a final report. user: 'I've gathered all this research on climate change effects on coastal cities. Can you create a comprehensive report?' assistant: 'I'll use the report-generator agent to create a well-structured report from your research findings.' <commentary>Since the user has completed research and needs it transformed into a final report, use the report-generator agent to create a comprehensive, properly formatted document.</commentary></example> <example>Context: Multiple research threads have been synthesized and need to be presented cohesively. user: 'We have findings from 5 different researchers on AI safety. Need a unified report.' assistant: 'Let me use the report-generator agent to create a cohesive report that integrates all the research findings.' <commentary>The user needs multiple research streams combined into a single comprehensive report, which is exactly what the report-generator agent is designed for.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 596}, {"name": "research-analyst", "path": "deep-research-team/research-analyst.md", "category": "deep-research-team", "type": "agent", "description": "\"Use this agent when you need comprehensive research across multiple sources with synthesis of findings into actionable insights, trend identification, and detailed reporting. Specifically:\\\\n\\\\n<example>\\\\nContext: A company is planning to enter a new technology market and needs deep research on market size, competitors, technologies, and growth trends.\\\\nuser: \\\"Research the current state of the AI-assisted code generation market. We need to understand market size, key competitors, technology trends, growth projections, and potential market entry strategies for the next 2-3 years.\\\"\\\\nassistant: \\\"I'll conduct comprehensive market research across industry reports, competitor analyses, technology trends, and market forecasts. I'll gather data on market size and growth rates, identify and profile major competitors, analyze technology trends and innovations, assess market segments, and synthesize findings into a detailed report with strategic recommendations for market entry.\\\"\\\\n<commentary>\\\\nInvoke research-analyst when you need wide-ranging research that synthesizes information from multiple sources into a comprehensive report with trends, competitive landscape, and strategic insights. This agent excels at pulling together disparate information into coherent analysis.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An organization needs to understand regulatory changes and their implications across multiple jurisdictions and time periods.\\\\nuser: \\\"Research GDPR implementation requirements and how they've evolved since 2018. We need to understand initial regulations, amendments, enforcement trends, fines imposed, and current compliance best practices globally.\\\"\\\\nassistant: \\\"I'll research GDPR regulations comprehensively: gathering initial framework documentation, tracking regulatory amendments and guidance updates, analyzing enforcement actions and penalties imposed, identifying global compliance variations, and synthesizing this into a timeline showing evolution and current best practices for implementation.\\\"\\\\n<commentary>\\\\nUse research-analyst for research requiring deep temporal analysis, tracking regulatory or industry evolution, and synthesizing complex information into structured understanding. The agent excels at creating comprehensive reports that show patterns and changes over time.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A research team needs analysis of industry trends to inform strategic planning and identify emerging opportunities.\\\\nuser: \\\"Analyze current trends in remote work technology adoption. We need to understand adoption rates by industry, key drivers and barriers, emerging tools and platforms, skills gap evolution, and predictions for the next 3-5 years.\\\"\\\\nassistant: \\\"I'll research remote work trends systematically: gathering adoption statistics by sector, identifying key drivers and obstacles, analyzing emerging technologies and platforms, researching skills requirements and gaps, synthesizing workforce trend data, and synthesizing into a report with opportunity identification and strategic implications for our product development.\\\"\\\\n<commentary>\\\\nInvoke research-analyst when you need to understand broad trends, identify patterns across industries or demographics, and extract strategic opportunities from research findings. This agent synthesizes disparate data points into actionable trend analysis.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 165}, {"name": "research-brief-generator", "path": "deep-research-team/research-brief-generator.md", "category": "deep-research-team", "type": "agent", "description": "Use this agent when you need to transform a user's research query into a structured, actionable research brief that will guide subsequent research activities. This agent takes clarified queries and converts them into comprehensive research plans with specific questions, keywords, source preferences, and success criteria. <example>Context: The user has asked a research question that needs to be structured into a formal research brief.\\nuser: \"I want to understand the impact of AI on healthcare diagnostics\"\\nassistant: \"I'll use the research-brief-generator agent to transform this query into a structured research brief that will guide our research.\"\\n<commentary>Since we need to create a structured research plan from the user's query, use the research-brief-generator agent to break down the question into specific sub-questions, identify keywords, and define research parameters.</commentary></example><example>Context: After query clarification, we need to create a research framework.\\nuser: \"How are quantum computers being used in drug discovery?\"\\nassistant: \"Let me use the research-brief-generator agent to create a comprehensive research brief for investigating quantum computing applications in drug discovery.\"\\n<commentary>The query needs to be transformed into a structured brief with specific research questions and parameters, so use the research-brief-generator agent.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 294}, {"name": "research-coordinator", "path": "deep-research-team/research-coordinator.md", "category": "deep-research-team", "type": "agent", "description": "Use this agent when you need to strategically plan and coordinate complex research tasks across multiple specialist researchers. This agent analyzes research requirements, allocates tasks to appropriate specialists, and defines iteration strategies for comprehensive coverage. <example>Context: The user has asked for a comprehensive analysis of quantum computing applications in healthcare. user: \"I need a thorough research report on how quantum computing is being applied in healthcare, including current implementations, future potential, and technical challenges\" assistant: \"I'll use the research-coordinator agent to plan this complex research task across our specialist researchers\" <commentary>Since this requires coordinating multiple aspects (technical, medical, current applications), use the research-coordinator to strategically allocate tasks to different specialist researchers.</commentary></example> <example>Context: The user wants to understand the economic impact of AI on job markets. user: \"Research the economic impact of AI on job markets, including statistical data, expert opinions, and case studies\" assistant: \"Let me engage the research-coordinator agent to organize this multi-faceted research project\" <commentary>This requires coordination between data analysis, academic research, and current news, making the research-coordinator ideal for planning the research strategy.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 495}, {"name": "research-orchestrator", "path": "deep-research-team/research-orchestrator.md", "category": "deep-research-team", "type": "agent", "description": "Use this agent when you need to coordinate a comprehensive research project that requires multiple specialized agents working in sequence. This agent manages the entire research workflow from initial query clarification through final report generation. <example>Context: User wants to conduct thorough research on a complex topic. user: \"I need to research the impact of quantum computing on cryptography\" assistant: \"I'll use the research-orchestrator agent to coordinate a comprehensive research project on this topic\" <commentary>Since this is a complex research request requiring multiple phases and specialized agents, the research-orchestrator will manage the entire workflow.</commentary></example> <example>Context: User has a vague research request that needs clarification and systematic investigation. user: \"Tell me about AI safety\" assistant: \"Let me use the research-orchestrator to coordinate a structured research process on AI safety\" <commentary>The broad nature of this query requires orchestration of multiple research phases, making the research-orchestrator the appropriate choice.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 726}, {"name": "research-synthesizer", "path": "deep-research-team/research-synthesizer.md", "category": "deep-research-team", "type": "agent", "description": "Use this agent when you need to consolidate and synthesize findings from multiple research sources or specialist researchers into a unified, comprehensive analysis. This agent excels at merging diverse perspectives, identifying patterns across sources, highlighting contradictions, and creating structured insights that preserve the complexity and nuance of the original research while making it more accessible and actionable. <example>Context: The research-orchestrator has completed Phase 4 parallel research on 'LLM fine-tuning costs' using academic-researcher, web-researcher, and data-analyst. user: \"Synthesize the research outputs.\" assistant: \"I'll invoke the research-synthesizer agent to merge all specialist findings into a unified analysis.\" <commentary>The orchestrator has confirmed all three researcher outputs exist as files, making this the correct trigger point for synthesis. The agent will locate each output file, extract claims, and produce both synthesis-summary.md and synthesis.json.</commentary></example> <example>Context: The research-orchestrator has completed parallel research on 'WASM adoption in server-side runtimes' using academic-researcher, web-researcher, and technical-researcher. All three output files are confirmed present. user: \"All researchers are done. Synthesize everything into a report.\" assistant: \"Let me use the research-synthesizer agent to consolidate the three specialist outputs into a structured synthesis.\" <commentary>Three distinct researcher outputs referencing the same topic are present; the synthesis agent is the correct next step to unify them and surface contradictions and shared themes.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 432}, {"name": "search-specialist", "path": "deep-research-team/search-specialist.md", "category": "deep-research-team", "type": "agent", "description": "\"Use when you need to find specific information across multiple sources using advanced search strategies, query optimization, and targeted information retrieval. Invoke this agent when the priority is locating precise, relevant results efficiently rather than analyzing or synthesizing content. Specifically:\\\\n\\\\n<example>\\\\nContext: User is looking for academic papers on a narrow topic with specific technical criteria and needs comprehensive coverage across multiple databases.\\\\nuser: \\\"I need to find all papers published in the last 3 years about neural network pruning techniques for mobile devices. I need papers from at least 5 different sources.\\\"\\\\nassistant: \\\"I'll use the search-specialist agent to systematically search academic databases, conference proceedings, and preprint servers with optimized queries to ensure comprehensive coverage of this specific topic.\\\"\\\\n<commentary>\\\\nUse search-specialist when the user needs exhaustive information retrieval with multiple sources, specific quality criteria, and emphasis on finding hard-to-locate content. This agent excels at designing search strategies, optimizing queries, and ensuring no relevant information is missed.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is building a competitive intelligence report and needs specific market data, financial information, and company announcements from varied sources.\\\\nuser: \\\"Find all recent announcements, patents, and financial reports from our three main competitors. I need documents from the past 18 months across public databases, patent offices, and news sources.\\\"\\\\nassistant: \\\"I'll deploy the search-specialist agent to systematically search patent databases, SEC filings, news archives, and company websites with targeted queries to gather comprehensive competitive intelligence.\\\"\\\\n<commentary>\\\\nUse search-specialist when you need to aggregate information from diverse, specialized sources with specific temporal or categorical constraints. The agent's expertise in source selection and query optimization ensures thorough coverage.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User needs to locate a specific technical specification or documentation that exists but is difficult to find across various repositories and archives.\\\\nuser: \\\"I'm looking for the technical specification document for the legacy messaging protocol we deprecated in 2015. It's somewhere in our archives or public documentation sites.\\\"\\\\nassistant: \\\"I'll use the search-specialist agent to systematically search archived documentation, public repositories, and historical snapshots using keyword variations and source-specific search techniques to locate this document.\\\"\\\\n<commentary>\\\\nUse search-specialist when searching for specific, difficult-to-locate information in archives, legacy systems, or scattered across multiple repositories. The agent applies advanced search techniques like reverse searching, citation tracking, and deep web access to find needle-in-haystack information.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 145}, {"name": "technical-researcher", "path": "deep-research-team/technical-researcher.md", "category": "deep-research-team", "type": "agent", "description": "Use this agent when you need to analyze code repositories, technical documentation, implementation details, or evaluate technical solutions. This includes researching GitHub projects, reviewing API documentation, finding code examples, assessing code quality, tracking version histories, or comparing technical implementations. <example>Context: The user wants to understand different implementations of a rate limiting algorithm. user: \"I need to implement rate limiting in my API. What are the best approaches?\" assistant: \"I'll use the technical-researcher agent to analyze different rate limiting implementations and libraries.\" <commentary>Since the user is asking about technical implementations, use the technical-researcher agent to analyze code repositories and documentation.</commentary></example> <example>Context: The user needs to evaluate a specific open source project. user: \"Can you analyze the architecture and code quality of the FastAPI framework?\" assistant: \"Let me use the technical-researcher agent to examine the FastAPI repository and its technical details.\" <commentary>The user wants a technical analysis of a code repository, which is exactly what the technical-researcher agent specializes in.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1017}, {"name": "backend-architect", "path": "development-team/backend-architect.md", "category": "development-team", "type": "agent", "description": "\"Backend system architecture and API design specialist. Use PROACTIVELY for greenfield service design, monolith decomposition, API paradigm selection (REST/gRPC/GraphQL), microservice boundaries, database schemas, scalability planning, event-driven architecture, and observability design. This agent focuses on architecture and design decisions — for writing implementation code use the backend-developer agent instead.\\n\\n<example>\\nContext: An existing Rails monolith is growing too large and needs to be split into independent services.\\nuser: \\\"We need to split our Rails monolith into services — where do we start?\\\"\\nassistant: \\\"I'll analyze the monolith's bounded contexts, data dependencies, and traffic patterns to produce a phased decomposition roadmap with service boundary definitions, API contracts between services, and a strangler-fig migration strategy.\\\"\\n<commentary>\\nMonolith decomposition is a core architecture concern: service boundaries, migration sequencing, and managing the transition period without downtime. Use backend-architect for design decisions; use backend-developer to implement the resulting services.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A startup is building a new real-time ride-sharing platform from scratch and needs an initial backend architecture.\\nuser: \\\"Design the backend architecture for a real-time ride-sharing platform expected to handle 50k concurrent users at launch.\\\"\\nassistant: \\\"I'll design a service architecture covering trip lifecycle management, driver matching, real-time location tracking, and payment processing — including API contracts, event-driven communication via Kafka, PostgreSQL + PostGIS schema, caching strategy with Redis, an OpenAPI 3.1 spec for the public API, and an observability plan with OpenTelemetry and SLO thresholds.\\\"\\n<commentary>\\nGreenfield service architecture requires upfront decisions on API paradigms, data consistency, scaling approach, and observability before any code is written. This is backend-architect territory.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 7041}, {"name": "backend-developer", "path": "development-team/backend-developer.md", "category": "development-team", "type": "agent", "description": "\"Use this agent when building server-side APIs, microservices, and backend systems that require robust architecture, scalability planning, and production-ready implementation. Specifically:\\\\n\\\\n<example>\\\\nContext: A project needs a new RESTful API service with database persistence, authentication, and caching for handling high-traffic requests.\\\\nuser: \\\"We need to build a user service API that handles 10k RPS with sub-100ms latency. It should support OAuth2 authentication, PostgreSQL for persistence, and Redis caching.\\\"\\\\nassistant: \\\"I'll design and implement this service architecture. First, let me query the context manager for existing infrastructure. Then I'll build the service with proper API design, database optimization, authentication middleware, and caching strategy. I'll ensure 80%+ test coverage and OpenAPI documentation.\\\"\\\\n<commentary>\\\\nUse the backend-developer agent when you need to implement complete backend services with API endpoints, database integration, authentication, and performance optimization. This agent handles the full stack from architecture decisions to production-ready code.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing monolith needs refactoring to introduce microservices with proper service communication patterns and data consistency.\\\\nuser: \\\"We're starting to decompose our monolith. We need a new orders service that communicates with user and inventory services via gRPC, with Kafka for async events and eventual consistency.\\\"\\\\nassistant: \\\"I'll architect this service decomposition. I'll design service boundaries, implement gRPC communication with circuit breakers, set up Kafka consumers for event handling, and configure proper database isolation. I'll include monitoring instrumentation and deployment configurations.\\\"\\\\n<commentary>\\\\nInvoke this agent when building individual microservices that need to integrate with other services, handle distributed transactions, and maintain data consistency patterns in a larger system.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: The backend team needs to add real-time features to their existing system with WebSocket support and message streaming.\\\\nuser: \\\"Add WebSocket endpoints to our notification service so clients get real-time updates. Need to handle connection pooling, graceful disconnects, and failover to fallback mechanisms.\\\"\\\\nassistant: \\\"I'll implement WebSocket support with connection management, implement health checks and automatic reconnection handling, set up message broadcasting with proper error handling, and integrate with your existing authentication. I'll add load testing and monitoring for connection metrics.\\\"\\\\n<commentary>\\\\nUse this agent for implementing real-time features, WebSocket integration, and async communication patterns within your backend services.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 621}, {"name": "cli-ui-designer", "path": "development-team/cli-ui-designer.md", "category": "development-team", "type": "agent", "description": "CLI interface design specialist. Use PROACTIVELY to create terminal-inspired user interfaces with modern web technologies. Expert in CLI aesthetics, terminal themes, and command-line UX patterns.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 545}, {"name": "code-architect", "path": "development-team/code-architect.md", "category": "development-team", "type": "agent", "description": "Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 409}, {"name": "code-explorer", "path": "development-team/code-explorer.md", "category": "development-team", "type": "agent", "description": "Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 309}, {"name": "devops-engineer", "path": "development-team/devops-engineer.md", "category": "development-team", "type": "agent", "description": "DevOps and infrastructure specialist for CI/CD, deployment automation, and cloud operations. Use PROACTIVELY for pipeline setup, infrastructure provisioning, monitoring, security implementation, and deployment optimization.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 2129}, {"name": "electron-pro", "path": "development-team/electron-pro.md", "category": "development-team", "type": "agent", "description": "\"Use this agent when building Electron desktop applications that require native OS integration, cross-platform distribution, security hardening, and performance optimization. Use electron-pro for complete desktop app development from architecture to signed, distributable installers. Specifically:\\\\n\\\\n<example>\\\\nContext: A team is building a professional desktop productivity app for Windows, macOS, and Linux with auto-updates and system tray integration.\\\\nuser: \\\"We need to build a desktop note-taking app with offline functionality, cross-platform support, and auto-updates. It needs to integrate with the system tray and have native menus.\\\"\\\\nassistant: \\\"I'll architect and implement this Electron app with proper process isolation, IPC security, and native OS integration. I'll set up secure context isolation, implement preload scripts for safe IPC, integrate native menus, configure auto-updates with signature verification, and optimize performance to meet the 180MB memory and 2.5s startup targets. The app will be code-signed and ready for distribution.\\\"\\\\n<commentary>\\\\nUse electron-pro when building complete Electron applications from architecture to distribution, especially when you need native OS features like system tray, native menus, and secure auto-update mechanisms.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A security-critical desktop application needs hardened Electron implementation with context isolation, permission handling, and certificate pinning.\\\\nuser: \\\"We're building a financial data application for desktop with strict security requirements. We need context isolation enabled everywhere, secure IPC patterns, and proper permission request handling.\\\"\\\\nassistant: \\\"I'll implement security-first architecture with mandatory context isolation, disabled Node integration in renderers, strict CSP, secure preload scripts for API exposure, IPC channel validation, and certificate pinning for external communications. I'll configure code signing and set up crash reporting with security auditing.\\\"\\\\n<commentary>\\\\nInvoke electron-pro when security hardening and process isolation are critical requirements. This agent specializes in implementing Electron security best practices and defending against common desktop app vulnerabilities.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing web application needs to be adapted for desktop with performance targets and multi-window support across different OS platforms.\\\\nuser: \\\"We're bringing our web app to desktop. We need multi-window coordination, persistent window state, platform-specific keyboard shortcuts, and performance under 200MB memory idle.\\\"\\\\nassistant: \\\"I'll structure the application with proper window management patterns, implement state persistence and restoration, add platform-specific shortcuts for Windows/macOS/Linux conventions, optimize startup time and memory footprint, and configure GPU acceleration. I'll also set up monitoring for performance metrics and memory leak detection.\\\"\\\\n<commentary>\\\\nUse this agent when adapting web applications to desktop or when you need sophisticated window management, multi-window coordination, and platform-specific behavior implementation with strict performance budgets.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 101}, {"name": "frontend-developer", "path": "development-team/frontend-developer.md", "category": "development-team", "type": "agent", "description": "\"Use when building complete frontend applications across React, Vue, and Angular frameworks requiring multi-framework expertise and full-stack integration. Specifically:\\n\\n<example>\\nContext: Starting a new React frontend for an e-commerce platform with complex state management and real-time updates\\nuser: \\\"Build a React frontend for product catalog with filtering, cart management, and checkout flow. Need TypeScript, responsive design, and 85% test coverage.\\\"\\nassistant: \\\"I'll create a scalable React frontend with component architecture, server state via TanStack Query, client state via Zustand, responsive Tailwind v4 CSS styling, WCAG 2.2 accessibility compliance, and comprehensive testing with Vitest + Testing Library. First, let me query the context-manager for your existing infrastructure, design language, and API contracts.\\\"\\n<commentary>\\nUse frontend-developer when you need full frontend application development with multiple pages, complex state, user interactions, and integration with backend APIs. This agent handles the complete frontend lifecycle from architecture to deployment.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Migrating legacy jQuery frontend to modern Vue 3 with existing PHP backend\\nuser: \\\"We need to modernize our PHP web app's frontend from jQuery to Vue 3.5. The backend is stable. Need to maintain existing functionality while improving UX and code maintainability.\\\"\\nassistant: \\\"I'll architect a Vue 3.5 migration strategy preserving backend contracts, gradually replace jQuery components with Vue Single File Components using the Composition API and reactive props destructure, implement TypeScript for type safety, add Pinia for state management, ensure 90% test coverage with Vitest, and maintain zero-downtime during rollout.\\\"\\n<commentary>\\nUse frontend-developer when modernizing existing frontend codebases across different frameworks. This agent excels at strategic migrations, maintaining backward compatibility, and integrating with established backend systems.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Building shared component library for multi-team organization using different frameworks\\nuser: \\\"Create a component library that works across our React, Vue, and Angular projects. Need consistent design tokens, accessibility, documentation, and framework-agnostic design patterns.\\\"\\nassistant: \\\"I'll design a framework-agnostic component architecture with TypeScript interfaces, implement components in multiple frameworks maintaining API consistency, establish design token system with CSS custom properties, write Storybook documentation, create migration guides for teams, and ensure WCAG 2.2 compliance across all implementations — including Focus Appearance and Target Size Minimum criteria.\\\"\\n<commentary>\\nUse frontend-developer for multi-framework solutions, design system work, and component library architecture. This agent bridges different frontend ecosystems while maintaining consistency and quality standards.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 11846}, {"name": "fullstack-developer", "path": "development-team/fullstack-developer.md", "category": "development-team", "type": "agent", "description": "\"Use this agent when you need to build complete features spanning database, API, and frontend layers together as a cohesive unit. Specifically:\\\\n\\\\n<example>\\\\nContext: User wants to build a new user authentication system for a web application that requires database schema, API endpoints, and frontend forms.\\\\nuser: \\\"Build a complete user registration feature with PostgreSQL schema, Node.js API endpoints, and React forms including validation and error handling.\\\"\\\\nassistant: \\\"I'll implement this as a full-stack feature. Let me start by analyzing the existing database schema, then design the API contracts, and finally build the React components with proper integration and testing across all layers.\\\"\\\\n<commentary>\\\\nThis is a core fullstack-developer use case: new feature that touches all stack layers requires coordinated development from database to UI. The agent needs context on existing patterns and must ensure type-safety and consistency across all three layers.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Existing backend API needs frontend implementation along with database optimization to support a new real-time dashboard.\\\\nuser: \\\"We have the API endpoints ready, but need to build the React dashboard UI and optimize the database queries for real-time data streaming.\\\"\\\\nassistant: \\\"I'll examine your API structure and database schema, then build the React components with WebSocket integration for real-time updates, and optimize the queries for performance. This ensures the frontend, API, and database work together seamlessly.\\\"\\\\n<commentary>\\\\nWhen an incomplete feature chain exists (missing frontend or backend) and requires end-to-end integration testing, use the fullstack developer to coordinate across all layers and ensure optimal data flow, caching, and performance.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Refactoring payment processing system to change from polling to event-driven architecture across all layers.\\\\nuser: \\\"Refactor our payment system from polling the database to an event-driven model using WebSockets and message queues, affecting database design, API middleware, and frontend state management.\\\"\\\\nassistant: \\\"I'll redesign the database schema for event sourcing, implement the API event handlers and WebSocket server, rebuild the frontend state management for real-time updates, and ensure proper error recovery across the entire flow.\\\"\\\\n<commentary>\\\\nUse the fullstack developer for complex architectural changes that require synchronized updates across database design, API patterns, and frontend state management. The agent's cross-layer perspective prevents silos and ensures consistent implementation.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User wants to add a semantic search feature powered by AI to an existing product catalog.\\\\nuser: \\\"Add AI-powered semantic search to our product catalog using embeddings and a vector database.\\\"\\\\nassistant: \\\"I'll design the full pipeline: generate and store embeddings in pgvector via a background job, expose a /search API route using the Anthropic SDK for query embedding, stream results to the React frontend with useChat, and add an evaluation harness to measure retrieval quality.\\\"\\\\n<commentary>\\\\nAI feature work spanning embedding ingestion, RAG pipeline, streaming API, and frontend integration requires coordinated fullstack development. The agent ensures data flow, latency, and prompt versioning are handled coherently across all layers.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 5419}, {"name": "ios-developer", "path": "development-team/ios-developer.md", "category": "development-team", "type": "agent", "description": "Native iOS development specialist with Swift and SwiftUI. Use PROACTIVELY for iOS applications, UIKit/SwiftUI components, Core Data integration, app lifecycle management, and App Store optimization.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 806}, {"name": "mobile-app-developer", "path": "development-team/mobile-app-developer.md", "category": "development-team", "type": "agent", "description": "\"Use this agent when developing iOS and Android mobile applications with focus on native or cross-platform implementation, performance optimization, and platform-specific user experience. This agent covers both platforms (native iOS + native Android, or cross-platform frameworks spanning both); for iOS-only work use ios-developer, and for React Native/Flutter-first cross-platform projects use mobile-developer. Specifically:\\\\n\\\\n<example>\\\\nContext: Project requires building a high-performance native iOS and Android app with offline sync, push notifications, and biometric authentication for a consumer app targeting 50k+ users.\\\\nuser: \\\"We need to build a fitness tracking app for both iOS and Android. Users need offline workout logging, real-time sync when online, push reminders, and Face ID/Touch ID login. App size should be under 50MB and startup time under 2 seconds.\\\"\\\\nassistant: \\\"I'll architect this native app for iOS (Swift/SwiftUI) and Android (Kotlin/Jetpack Compose) separately. I'll design the offline-first architecture with Core Data (iOS) and Room (Android), implement background sync using WorkManager and background tasks, add biometric authentication, configure push notifications via APNS and FCM, and optimize bundle sizes. I'll target the performance metrics you specified with comprehensive testing on real devices.\\\"\\\\n<commentary>\\\\nUse mobile-app-developer when building native iOS/Android applications requiring platform-specific optimization, device integration (biometrics, location, camera), and performance targets. This differs from frontend-developer (which focuses on web/cross-browser) and ux-designer (which focuses on interaction design).\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team wants to share codebase across iOS and Android using a cross-platform framework, weighing tradeoffs between code reuse and native performance.\\\\nuser: \\\"We're building a financial app for iOS and Android. We have a small team and need code sharing, but we also need 60fps animations and smooth gesture responses. Should we use React Native, Flutter, or go native?\\\"\\\\nassistant: \\\"Based on your constraints, I'll help you choose between frameworks. For financial apps with demanding animations, Flutter offers better performance with Dart's compilation and Skia rendering, plus easier access to platform channels for secure features. React Native is better if you have existing React expertise. Let me build a prototype with each to measure actual performance on your target devices, then recommend the architecture that balances code sharing with native-level responsiveness.\\\"\\\\n<commentary>\\\\nInvoke this agent when making critical framework decisions for mobile apps. The agent evaluates platform-specific constraints, performance targets, team expertise, and feature requirements to recommend the optimal approach.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Existing mobile app has performance issues: slow startup (4+ seconds), high memory usage, and crashes on older devices. Team needs systematic optimization.\\\\nuser: \\\"Our app startup takes 4.5 seconds on iPhone 11s and we're seeing crashes on Android 10 devices with 3GB RAM. Crash rate is at 0.3%. Can you optimize performance and stabilize the app?\\\"\\\\nassistant: \\\"I'll conduct comprehensive performance profiling using Xcode Instruments and Android Studio Profiler. I'll identify startup bottlenecks (dependency injection, data loading, image decoding), optimize memory management with proper lifecycle handling, implement lazy initialization patterns, reduce app size through code splitting and asset optimization, and add device capability detection. I'll target sub-2s startup, <0.1% crash rate, and compatibility with older devices.\\\"\\\\n<commentary>\\\\nUse this agent when existing mobile apps have performance or stability issues requiring deep platform knowledge, profiling expertise, and optimization patterns specific to iOS/Android architectures.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 461}, {"name": "mobile-developer", "path": "development-team/mobile-developer.md", "category": "development-team", "type": "agent", "description": "\"Use this agent when building cross-platform mobile applications requiring native performance optimization, platform-specific features, and offline-first architecture. Use for React Native and Flutter projects where code sharing must exceed 80% while maintaining iOS and Android native excellence. Specifically:\\\\n\\\\n<example>\\\\nContext: User is starting a new React Native project that needs to support iOS 18+ and Android 15+ with biometric authentication and offline data synchronization.\\\\nuser: \\\"I need to build a fitness tracking app with React Native that works offline, has Face ID/fingerprint login, and syncs data when the network returns.\\\"\\\\nassistant: \\\"I'll invoke the mobile-developer agent to architect a cross-platform solution with WatermelonDB for offline sync, native biometric modules via TurboModules, and optimized platform-specific UI following iOS HIG and Material Design 3.\\\"\\\\n<commentary>\\\\nUse the mobile-developer agent when designing new mobile applications that require native module integration, offline-first architecture, and platform-specific optimizations. This agent handles the full stack from architecture through deployment.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing React Native app has performance issues - slow startup time (3.2s cold start), high memory usage (280MB), and battery drain complaints.\\\\nuser: \\\"Our React Native app is too slow and drains battery fast. Cold start is 3.2 seconds and memory usage hits 280MB. How can we fix this?\\\"\\\\nassistant: \\\"I'll use the mobile-developer agent to profile the app with Flipper, optimize the bundle with Hermes engine, implement list virtualization with FlashList, reduce memory leaks, and optimize background tasks - targeting 1.5s cold start and 120MB memory baseline.\\\"\\\\n<commentary>\\\\nInvoke the mobile-developer agent for performance optimization tasks on existing mobile apps. This agent specializes in profiling, bottleneck identification, and platform-specific optimizations using tools like Flipper and DevTools.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A team needs to add deep linking, push notifications (APNs and FCM), and prepare their app for App Store submission with automated CI/CD.\\\\nuser: \\\"We're ready to ship our iOS and Android apps but need help setting up Universal Links, push notifications, code signing, and deployment automation.\\\"\\\\nassistant: \\\"I'll coordinate with the mobile-developer agent to configure Universal Links and deep linking validation, set up APNs and FCM push notifications with proper certificates, implement code signing with Fastlane, and establish automated CI/CD pipelines for TestFlight and Play Store.\\\"\\\\n<commentary>\\\\nUse the mobile-developer agent when preparing for production deployment, requiring certificate management, push notification infrastructure, deep linking setup, and CI/CD pipeline configuration across platforms.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 2176}, {"name": "sdd-spec-writer", "path": "development-team/sdd-spec-writer.md", "category": "development-team", "type": "agent", "description": "", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 62}, {"name": "test-generator", "path": "development-team/test-generator.md", "category": "development-team", "type": "agent", "description": "Analyzes code changes and generates comprehensive test cases by understanding existing test patterns, edge cases, and testing conventions in the codebase", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 338}, {"name": "test-runner", "path": "development-team/test-runner.md", "category": "development-team", "type": "agent", "description": "Executes tests, analyzes results, identifies failures, diagnoses root causes, and provides actionable fixes for failing tests", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 218}, {"name": "ui-designer", "path": "development-team/ui-designer.md", "category": "development-team", "type": "agent", "description": "\"Use this agent when designing visual interfaces, creating design systems, building component libraries, or refining user-facing aesthetics requiring expert visual design, interaction patterns, and accessibility considerations. Specifically:\\n\\n<example>\\nContext: Product team needs a complete design system for a new fintech application with dark mode, multiple device sizes, and strict accessibility requirements.\\nuser: \\\"We need to create a comprehensive design system for our fintech app. Include component library, design tokens, typography scale, color palette, interactive patterns, and dark mode support. Must meet WCAG 2.1 AA.\\\"\\nassistant: \\\"I'll create a complete design system starting with understanding your brand guidelines and user base through the context-manager. I'll build a modular component library with documented specs, design tokens in multiple formats (CSS, JSON, Figma), responsive patterns across web and mobile, dark mode variants, and comprehensive accessibility annotations. I'll deliver Figma files, design documentation, and developer handoff specifications.\\\"\\n<commentary>\\nUse ui-designer when you need to establish or refine a complete design system, including component libraries, design tokens, and comprehensive visual standards. This agent excels at creating reusable design assets and documentation that scale across teams and platforms.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A frontend team is building a new feature but needs UI design and interaction patterns before development.\\nuser: \\\"Design the booking flow for our travel app. Need 3 screen variations, empty/loading/error states, mobile and desktop layouts, and clear interaction patterns for each step.\\\"\\nassistant: \\\"I'll design a complete booking flow with wireframes, visual mockups, and interaction specifications. First, let me check the context-manager for your existing design system and style guide. Then I'll create all screen states, document interaction patterns, provide motion design specifications, and ensure alignment with your design language and accessibility standards.\\\"\\n<commentary>\\nInvoke ui-designer when your frontend developers need detailed visual designs, interaction specifications, and asset files before implementation. The agent provides a clear handoff package that developers can build from.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A redesign initiative is underway and you need UI improvements to an existing product.\\nuser: \\\"Our dashboard needs a visual refresh. The functionality is fine but the UX feels dated. Improve the visual hierarchy, modernize colors and typography, add micro-interactions, and ensure it works on mobile.\\\"\\nassistant: \\\"I'll analyze your current dashboard using the context-manager, identify visual improvement opportunities, redesign layouts for better hierarchy and scannability, update colors and typography to modern standards, add meaningful micro-interactions, and ensure responsive design. I'll provide before/after comparisons, design rationale, and implementation specifications for your developers.\\\"\\n<commentary>\\nUse ui-designer for visual refinements, redesigns, and aesthetic improvements to existing interfaces. This agent modernizes dated UIs while respecting existing functionality and providing clear upgrade paths.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 467}, {"name": "ui-ux-designer", "path": "development-team/ui-ux-designer.md", "category": "development-team", "type": "agent", "description": "Use proactively when reviewing UI/UX design, evaluating visual interfaces, auditing web components for usability issues, checking accessibility compliance, or critiquing design aesthetics. Invoke when the user shares screenshots, mockup files, CSS, HTML, design tokens, or asks for feedback on visual design decisions, font choices, color palettes, layout structure, or user experience. Also use when asked to evaluate AI chat interfaces, copilot UIs, or prompt-driven interface patterns.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 7728}, {"name": "accessibility-tester", "path": "development-tools/accessibility-tester.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need comprehensive accessibility testing, WCAG compliance verification, or assessment of assistive technology support. Specifically:\\\\n\\\\n<example>\\\\nContext: A web application is preparing for launch and needs to ensure compliance with accessibility standards before release.\\\\nuser: \\\"Can you test our web app for accessibility issues? We need to know if it works with screen readers and keyboard navigation, and if we meet WCAG standards.\\\"\\\\nassistant: \\\"I'll conduct a comprehensive accessibility audit covering WCAG 2.1 Level AA compliance, screen reader compatibility (NVDA, JAWS, VoiceOver), full keyboard navigation testing, color contrast verification, focus management, and ARIA implementation. I'll identify violations, prioritize by severity, and provide specific remediation guidance.\\\"\\\\n<commentary>\\\\nInvoke accessibility-tester when an application needs formal accessibility testing and compliance verification. This agent conducts systematic testing across multiple accessibility dimensions, unlike qa-expert which focuses on general quality assurance.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Users with disabilities reported difficulty using the mobile app, and the team wants to understand and fix accessibility barriers.\\\\nuser: \\\"We're getting feedback that disabled users can't use our mobile app properly. Some can't navigate with the keyboard and others have trouble with the screen reader. What's wrong?\\\"\\\\nassistant: \\\"I'll test your mobile app with assistive technologies to identify specific accessibility barriers. I'll check touch target sizing, gesture alternatives, screen reader compatibility, keyboard navigation logic, and platform-specific accessibility features. I'll document each barrier with a clear explanation of the impact on users and concrete fixes needed.\\\"\\\\n<commentary>\\\\nUse accessibility-tester to diagnose accessibility problems reported by users and design solutions. This agent traces user complaints to specific accessibility failures and recommends fixes.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A development team has built a complex form with dynamic validation and wants to ensure it's accessible before merging the feature.\\\\nuser: \\\"We built a new checkout form with real-time validation. Can you check if it's accessible? We want to make sure errors are announced properly and the keyboard flow works.\\\"\\\\nassistant: \\\"I'll review the form's accessibility including label associations, error identification and announcement, field instructions, focus management during validation, keyboard navigation flow, and screen reader announcements. I'll identify any ARIA violations, test with actual assistive technologies, and verify the form meets WCAG standards.\\\"\\\\n<commentary>\\\\nInvoke accessibility-tester for component or feature-level accessibility validation before integration. This agent verifies specific UI patterns work correctly with assistive technology, catching issues before they reach users.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 122}, {"name": "architect-reviewer", "path": "development-tools/architect-reviewer.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to evaluate system design decisions, architectural patterns, and technology choices at the macro level. Specifically:\\\\n\\\\n<example>\\\\nContext: Team has proposed a microservices migration strategy but is uncertain about service boundaries and data ownership model.\\\\nuser: \\\"We're planning to migrate from a monolith to microservices. Can you review our proposed architecture for technical soundness and scalability?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive architecture review examining your service boundaries, data ownership patterns, communication strategies, and evolution path. I'll assess whether the microservices design meets your scalability goals, validate that dependencies are minimized, verify security implications, and identify risks like distributed transaction complexity and team coordination needs. I'll provide concrete recommendations for refactoring if needed.\\\"\\\\n<commentary>\\\\nInvoke architect-reviewer when evaluating major architectural decisions like transitioning between architectural patterns. This differs from code-reviewer (handles code quality) and focuses on system-level design rather than individual component implementation.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Engineering team is selecting between different technology stacks for a new system (monolithic Node.js, serverless with Lambda, or containerized microservices).\\\\nuser: \\\"We need to decide on our technology stack for a new payment processing system. Which approach is best for our team and requirements?\\\"\\\\nassistant: \\\"I'll evaluate each option against your specific constraints: team expertise, scalability requirements, operational complexity, cost implications, and long-term maintainability. I'll analyze trade-offs like deployment complexity vs. auto-scaling benefits, monolithic simplicity vs. microservices flexibility, and help you understand the organizational implications of each choice. I'll provide a recommendation with risk mitigation strategies.\\\"\\\\n<commentary>\\\\nUse architect-reviewer for technology selection decisions where you need evaluation of long-term implications and trade-offs between different architectural approaches.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: System is growing complex with tightly coupled modules and the team struggles with deployment and testing velocity.\\\\nuser: \\\"Our system is becoming hard to maintain and deploy. Can you analyze our current architecture and suggest how we should restructure it?\\\"\\\\nassistant: \\\"I'll analyze your current architecture to identify coupling issues, evaluate whether modularization is needed, assess technical debt impact, and recommend a phased modernization strategy. I'll examine component boundaries, data flow, dependency trees, and deployment topology. I'll propose an evolutionary path using patterns like strangler fig, branch by abstraction, or incremental refactoring to improve maintainability while minimizing risk.\\\"\\\\n<commentary>\\\\nInvoke architect-reviewer when you need guidance on restructuring existing systems, identifying architectural debt, or planning major architectural evolution. This focuses on the macro system design and long-term sustainability rather than individual code quality.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 198}, {"name": "ascii-ui-mockup-generator", "path": "development-tools/ascii-ui-mockup-generator.md", "category": "development-tools", "type": "agent", "description": "Specialist in creating ASCII mockups for UI concepts, generating multiple visualization options for layouts, forms, dashboards, and interfaces before implementation", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 57}, {"name": "build-engineer", "path": "development-tools/build-engineer.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to optimize build performance, reduce compilation times, or scale build systems across growing teams. Specifically:\\\\n\\\\n<example>\\\\nContext: A development team's build times have degraded from 30 seconds to 2+ minutes, blocking developer productivity.\\\\nuser: \\\"Our build is too slow. It used to take 30 seconds but now it's over 2 minutes. We need to fix this urgently.\\\"\\\\nassistant: \\\"I'll analyze your build configuration, profile the compilation process to identify bottlenecks, and implement optimizations like incremental compilation, parallel builds, and strategic caching.\\\"\\\\n<commentary>\\\\nUse the build-engineer when facing performance regressions or excessive build times. They can diagnose root causes and implement targeted optimizations.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A monorepo is growing with multiple teams, but the build system doesn't scale efficiently and cache hit rates are low.\\\\nuser: \\\"We're expanding to 5 teams, but our build system is getting worse. How do we scale it?\\\"\\\\nassistant: \\\"I'll architect a distributed caching layer, implement workspace optimization for your monorepo structure, and configure parallel task execution across affected modules.\\\"\\\\n<commentary>\\\\nUse the build-engineer when scaling build infrastructure for growing teams or transitioning to monorepos. They design systems that maintain performance as complexity increases.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Bundle sizes are bloating the application and causing slow deployments and poor user experience.\\\\nuser: \\\"Our bundle is 5MB and it's killing our page load times. We need to cut it down.\\\"\\\\nassistant: \\\"I'll analyze your dependencies, implement code splitting strategies, configure tree-shaking and minification, and set up bundle analysis to track regressions.\\\"\\\\n<commentary>\\\\nUse the build-engineer when optimizing bundle sizes or improving deployment efficiency. They apply proven bundling techniques to reduce output size while maintaining functionality.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 105}, {"name": "chaos-engineer", "path": "development-tools/chaos-engineer.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to design and execute controlled failure experiments, validate system resilience before incidents occur, or conduct game day exercises to test your team's incident response capabilities. Specifically:\\\\n\\\\n<example>\\\\nContext: A microservices platform has recently experienced two unexpected service failures that took 2 hours to recover from. Leadership wants confidence that the system won't fail again without warning.\\\\nuser: \\\"We need to test if our system can handle failures gracefully. What failures should we simulate and how do we run the experiments safely?\\\"\\\\nassistant: \\\"I'll design a controlled chaos experiment program starting with low-impact tests in non-production. We'll simulate service failures, network partitions, and database issues while monitoring metrics continuously. Each experiment includes automatic rollback, blast radius controls, and documentation of learnings.\\\"\\\\n<commentary>\\\\nInvoke chaos-engineer when you need systematic failure validation before incidents occur in production, or when past incidents reveal gaps in resilience. This agent designs safe, controlled experiments that build confidence in system robustness.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An e-commerce platform runs a quarterly \\\"game day\\\" exercise where the team simulates a major outage. The team needs help planning and executing the exercise to uncover operational gaps.\\\\nuser: \\\"We want to run a game day scenario simulating a regional failure. How should we plan this and what should we test?\\\"\\\\nassistant: \\\"I'll help you design the game day scenario including failure timeline, team roles, communication protocols, success criteria, and observation points. We'll document the steady state, define the hypothesis, plan recovery procedures, and schedule post-mortems to extract learnings about your incident response process.\\\"\\\\n<commentary>\\\\nUse chaos-engineer for planning and executing game day exercises and organizational resilience drills. This agent specializes in designing realistic failure scenarios that test team coordination, decision-making, and incident response procedures.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A team has made several infrastructure improvements (better monitoring, circuit breakers, improved runbooks) and wants to verify these actually improve system resilience compared to before.\\\\nuser: \\\"We've made reliability improvements. How do we verify our changes actually made the system more resilient to failures?\\\"\\\\nassistant: \\\"I'll design a targeted chaos experiment program that tests your key improvements against your baseline. We'll measure MTTR, system behavior during failures, monitoring effectiveness, and team response time. I'll establish metrics that show whether your resilience score improved and document specific failure modes you've made safer.\\\"\\\\n<commentary>\\\\nInvoke chaos-engineer when you need to measure the impact of reliability improvements or validate that changes have actually increased system resilience. This agent designs experiments with measurable metrics showing improvement over time.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 72}, {"name": "cli-developer", "path": "development-tools/cli-developer.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when building command-line tools and terminal applications that require intuitive command design, cross-platform compatibility, and optimized developer experience. Specifically:\\\\n\\\\n<example>\\\\nContext: A development team needs a new CLI tool for managing local database migrations and seeding with interactive workflows.\\\\nuser: \\\"We need a CLI tool that lets developers manage database migrations. It should support interactive prompts, show migration status, handle rollbacks, and work on macOS, Linux, and Windows.\\\"\\\\nassistant: \\\"I'll design and build this CLI with excellent UX. First, let me check your database setup. Then I'll implement commands for migrate, rollback, seed, and status with color-coded output, interactive mode for beginners, and automation mode for CI/CD. I'll add shell completions and ensure sub-50ms startup time.\\\"\\\\n<commentary>\\\\nUse the cli-developer when creating developer-focused CLI tools that need strong UX, interactive workflows, cross-platform support, and integration with existing development workflows.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An open-source project needs a CLI tool with plugin architecture for extensibility and community contributions.\\\\nuser: \\\"We want to build a pluggable CLI tool where community members can write plugins. Need plugin discovery, version compatibility, API contracts, and easy installation.\\\"\\\\nassistant: \\\"I'll architect the plugin system with proper API contracts, dynamic discovery mechanisms, and version compatibility handling. I'll implement secure plugin sandboxing, auto-update mechanisms, and comprehensive documentation for plugin authors. I'll include example plugins and templates to encourage community participation.\\\"\\\\n<commentary>\\\\nInvoke this agent when building extensible CLI tools with plugin systems, needing to define plugin APIs, manage compatibility, and support community-driven development.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A production deployment tool needs to provide real-time feedback, handle complex workflows, and work offline.\\\\nuser: \\\"Our deployment CLI needs beautiful progress indicators for multi-step deployments, real-time status updates, error recovery, and offline capability when network is unavailable.\\\"\\\\nassistant: \\\"I'll implement a sophisticated CLI with progress bars, spinners, and task tree visualization. I'll add graceful error handling with recovery suggestions, offline-first architecture with sync when reconnected, and comprehensive logging. I'll optimize for <50ms startup and test across platforms.\\\"\\\\n<commentary>\\\\nUse this agent for building production-grade CLI tools that handle complex workflows, provide detailed feedback, support error recovery, and maintain high performance.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 85}, {"name": "code-reviewer", "path": "development-tools/code-reviewer.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to conduct comprehensive code reviews focusing on code quality, security vulnerabilities, and best practices. Specifically:\\\\n\\\\n<example>\\\\nContext: Developer has submitted a pull request with changes to critical authentication logic in a TypeScript backend service.\\\\nuser: \\\"Can you review this PR that refactors our authentication system? We need to catch any security issues, performance problems, or maintainability concerns.\\\"\\\\nassistant: \\\"I'll conduct a thorough code review examining the authentication logic for security vulnerabilities, checking error handling, validating the refactored patterns against SOLID principles, and assessing whether the changes maintain or improve code quality metrics. I'll provide specific feedback on each concern.\\\"\\\\n<commentary>\\\\nInvoke code-reviewer when code has been changed and you need detailed analysis of code quality, security, performance, and maintainability. This is distinct from security-auditor (which focuses narrowly on security) and architect-reviewer (which focuses on system design).\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team has merged several features and wants a quality assessment before production deployment.\\\\nuser: \\\"We need a code review of the changes in our payment processing module before we deploy to production. Check for any issues we might have missed.\\\"\\\\nassistant: \\\"I'll review the payment processing module systematically: analyzing input validation and error handling, checking for injection vulnerabilities, reviewing error recovery patterns, verifying test coverage, assessing maintainability of the code, and identifying any technical debt or performance concerns. I'll prioritize critical issues and provide constructive feedback.\\\"\\\\n<commentary>\\\\nUse code-reviewer for pre-deployment reviews when you need comprehensive quality gates across multiple dimensions (security, performance, maintainability, correctness).\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: New junior developer's code is being integrated and team wants learning-focused feedback.\\\\nuser: \\\"Can you review this TypeScript module my new team member wrote? I want to make sure the code quality is good and they're following our patterns.\\\"\\\\nassistant: \\\"I'll review the code for correctness, design patterns, naming conventions, and compliance with your team's standards. I'll also check for common mistakes, suggest improvements where they could learn from, and acknowledge what was done well to provide constructive, educational feedback.\\\"\\\\n<commentary>\\\\nInvoke code-reviewer when you want detailed feedback that helps developers grow, ensures standards compliance, and catches issues beyond what automated tools can detect. The feedback is actionable and specific.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 9160}, {"name": "code-simplifier", "path": "development-tools/code-simplifier.md", "category": "development-tools", "type": "agent", "description": "Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code unless instructed otherwise.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 213}, {"name": "codebase-explorer", "path": "development-tools/codebase-explorer.md", "category": "development-tools", "type": "agent", "description": "|", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 65}, {"name": "codebase-pattern-finder", "path": "development-tools/codebase-pattern-finder.md", "category": "development-tools", "type": "agent", "description": "Specialist for finding code patterns and examples in the codebase, providing concrete implementations that can serve as templates for new work", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 90}, {"name": "command-expert", "path": "development-tools/command-expert.md", "category": "development-tools", "type": "agent", "description": "CLI command development specialist for the claude-code-templates system. Use PROACTIVELY for command design, argument parsing, task automation, and CLI best practices implementation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 604}, {"name": "context-manager", "path": "development-tools/context-manager.md", "category": "development-tools", "type": "agent", "description": "Context management specialist for multi-agent workflows and long-running tasks. Use PROACTIVELY for complex projects, session coordination, and when context preservation is needed across multiple agents.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 3205}, {"name": "debugger", "path": "development-tools/debugger.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to diagnose and fix bugs, identify root causes of failures, or analyze error logs and stack traces to resolve issues. Specifically:\\n\\n<example>\\nContext: Application is crashing intermittently with a null pointer exception in production.\\nuser: \\\"Our payment service keeps crashing with NullPointerException in the transaction handler. We have crash logs but can't reproduce it locally. Can you debug this?\\\"\\nassistant: \\\"I'll use the debugger agent to analyze your crash logs and stack traces, form ranked hypotheses, and systematically isolate the null pointer condition.\\\"\\n<commentary>\\nUse the debugger agent when you have production failures or stack traces that need root cause analysis via log inspection and code tracing.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Memory usage on an API server grows over several hours until the process crashes.\\nuser: \\\"Memory keeps climbing on our API server. After 8 hours it hits 4 GB and crashes. How do we find the leak?\\\"\\nassistant: \\\"The debugger agent will grep heap dump snapshots and scan allocation call sites to identify which objects are accumulating and locate the leak source.\\\"\\n<commentary>\\nInvoke the debugger for resource leaks or memory issues that require code-level tracing to isolate the accumulating object type.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A race condition is causing data corruption in a multi-threaded order processor under load.\\nuser: \\\"Our concurrent order processing sometimes produces duplicate orders randomly under high load.\\\"\\nassistant: \\\"I'll use the debugger agent to trace thread interactions, identify shared-state access without synchronization, and design a targeted test to reproduce the race condition reliably.\\\"\\n<commentary>\\nUse the debugger for intermittent concurrency bugs; it applies falsification-based hypothesis testing and minimal reproduction to isolate elusive timing issues.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 3957}, {"name": "dependency-manager", "path": "development-tools/dependency-manager.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to audit dependencies for vulnerabilities, resolve version conflicts, optimize bundle sizes, or implement automated dependency updates. Specifically:\\\\n\\\\n<example>\\\\nContext: A project has accumulated security vulnerabilities in its dependency tree that need immediate remediation.\\\\nuser: \\\"We have 12 high-severity CVEs in our dependencies. Can you help fix them?\\\"\\\\nassistant: \\\"I'll use the dependency-manager agent to scan all vulnerabilities, assess their impact, and create a prioritized remediation plan with safe update strategies.\\\"\\\\n<commentary>\\\\nInvoke the dependency-manager agent when security vulnerabilities are discovered and you need systematic scanning, assessment, and patching guidance across the entire dependency tree.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A team wants to optimize bundle size and build performance across a monorepo with multiple workspaces.\\\\nuser: \\\"Our JavaScript bundle is 2.8MB and build times are slow. How can we reduce dependencies?\\\"\\\\nassistant: \\\"I'll use the dependency-manager agent to analyze the dependency tree for duplicates, unused packages, and optimization opportunities, then propose bundle size reductions.\\\"\\\\n<commentary>\\\\nUse the dependency-manager agent when you need to analyze dependency trees, detect duplication, and implement optimization strategies like tree shaking and lazy loading.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A project experiencing version incompatibilities between packages that are preventing updates.\\\\nuser: \\\"React 18 won't install because our other packages have conflicting peer dependencies. How do we resolve this?\\\"\\\\nassistant: \\\"I'll use the dependency-manager agent to map the dependency conflicts, identify resolution paths, and implement a strategy to upgrade without breaking the build.\\\"\\\\n<commentary>\\\\nInvoke the dependency-manager agent when facing version conflicts that block updates, requiring conflict resolution strategies and compatibility analysis across the ecosystem.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 101}, {"name": "dx-optimizer", "path": "development-tools/dx-optimizer.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when optimizing the complete developer workflow including build times, feedback loops, testing efficiency, and developer satisfaction metrics across the entire development environment. Specifically:\\\\n\\\\n<example>\\\\nContext: A team reports slow development cycles with 3-minute build times, 2-minute test runs, and frustration with development server startup.\\\\nuser: \\\"Our developers are losing productivity due to slow builds and feedback loops. Build time is 3 minutes, tests take 2 minutes, and HMR is inconsistent. Can you optimize our entire DX?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive DX analysis. First, I'll profile the build system to identify bottlenecks, analyze test suite execution for parallelization opportunities, and review development server configuration. Then I'll implement incremental compilation, parallel test execution, HMR optimization, and caching strategies. I'll measure improvements across all metrics and establish ongoing monitoring for developer satisfaction.\\\"\\\\n<commentary>\\\\nInvoke dx-optimizer when you need holistic improvements to developer experience spanning multiple areas: build performance, test execution, feedback speed, workflow automation, and environment setup. This is broader than build-engineer (focused only on build systems) or tooling-engineer (focused on tools).\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Onboarding new developers takes 3 hours due to environment setup complexity, and manual workflow steps are creating friction.\\\\nuser: \\\"New developers take hours to set up their environment and frequently make mistakes in our development workflows. Can you streamline this and reduce onboarding friction?\\\"\\\\nassistant: \\\"I'll analyze the current onboarding flow and identify friction points. I'll automate environment setup scripts, create dev container configurations, implement pre-commit hooks to prevent common mistakes, and document our development workflows. I'll also set up IDE configurations for instant code completion and proper tooling, reducing manual setup time from hours to minutes.\\\"\\\\n<commentary>\\\\nUse dx-optimizer when developer satisfaction is impacted by workflow friction, onboarding complexity, or manual processes that consume productive time. The agent optimizes the entire development experience beyond just code execution speed.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: After product growth, the engineering team has grown from 5 to 25 developers, but developer satisfaction scores dropped from 4.2 to 2.8 due to scaling friction.\\\\nuser: \\\"Our team scaled rapidly and developer satisfaction plummeted. We need to fix build bottlenecks, improve CI/CD feedback, set up monorepo tooling, and help developers work efficiently at scale.\\\"\\\\nassistant: \\\"I'll assess current pain points across the scaled team and implement solutions systematically. I'll configure monorepo workspace tools, set up distributed caching, implement smart test selection to reduce feedback time, optimize CI/CD parallelization, and establish developer metrics dashboards. I'll measure satisfaction improvements and create feedback loops for continuous optimization.\\\"\\\\n<commentary>\\\\nInvoke this agent when optimizing DX across distributed teams or at scale, where small friction multiplied across many developers significantly impacts productivity. The agent handles comprehensive workflow optimization from development environment to deployment feedback.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 398}, {"name": "error-detective", "path": "development-tools/error-detective.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to diagnose why errors are occurring in your system, correlate errors across services, identify root causes, and prevent future failures. Specifically:\\\\n\\\\n<example>\\\\nContext: Production system is experiencing intermittent failures across multiple microservices with unclear root cause.\\\\nuser: \\\"We have 50+ errors per minute in production with timeout exceptions in the API gateway, database connection errors, and queue failures. The incidents started after a deployment 2 hours ago but we can't figure out what's causing the cascade.\\\"\\\\nassistant: \\\"I'll analyze the error patterns across all services to find the correlation. I'll examine error frequency, timing, service dependencies, recent deployments, and resource metrics to identify what triggered the cascade. Once I find the root cause, I'll explain the failure chain and recommend immediate mitigation and long-term prevention strategies.\\\"\\\\n<commentary>\\\\nInvoke error-detective when production is experiencing failures and you need systematic analysis of error patterns across multiple services to understand causation. This is distinct from code-reviewer (which analyzes code quality) or performance-engineer (which focuses on optimization). Error-detective specializes in understanding failure cascades.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Development team wants to understand why a specific error appears frequently in error logs and whether it indicates a deeper problem.\\\\nuser: \\\"Our error tracking shows we get a 'Connection Timeout' error about 100 times per day. Is this normal? Does it indicate a real problem or just flaky tests? Should we be worried?\\\"\\\\nassistant: \\\"I'll investigate the error frequency, when it occurs, which services are affected, correlations with deployments or load spikes, and patterns in affected users or endpoints. I'll determine if this is expected behavior, a symptom of an underlying issue, or an early warning sign of a problem that will worsen under load.\\\"\\\\n<commentary>\\\\nUse error-detective when you need to assess whether a recurring error represents a real problem or is benign, and whether it signals deeper systemic issues. This requires pattern analysis and anomaly detection, not just code inspection.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team has resolved an incident but wants to prevent similar failures in the future.\\\\nuser: \\\"We just had an incident where database connection pool exhaustion caused cascading failures across our payment and order services. How do we prevent this from happening again? What should we monitor?\\\"\\\\nassistant: \\\"I'll map how the connection pool exhaustion propagated through your services, identify which circuit breakers and timeouts failed to prevent the cascade, recommend preventive measures (connection pool monitoring, circuit breaker tuning, graceful degradation), and define alerts to catch early warning signs before the next incident occurs.\\\"\\\\n<commentary>\\\\nInvoke error-detective for post-incident analysis when you need to understand the failure cascade, prevent similar patterns, and enhance monitoring and resilience. This goes beyond root cause to prevent future incidents through systematic improvement.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 2308}, {"name": "flutter-go-reviewer", "path": "development-tools/flutter-go-reviewer.md", "category": "development-tools", "type": "agent", "description": "|", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 138}, {"name": "general-purpose", "path": "development-tools/general-purpose.md", "category": "development-tools", "type": "agent", "description": "Default agent for handling complex, multi-step tasks with automatic delegation capabilities", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 75}, {"name": "laravel-expert-agent", "path": "development-tools/laravel-expert-agent.md", "category": "development-tools", "type": "agent", "description": "Expert Laravel development assistant specializing in modern Laravel 12+ applications with Eloquent, Artisan, testing, and best practices", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 205}, {"name": "launchdarkly-flag-cleanup", "path": "development-tools/launchdarkly-flag-cleanup.md", "category": "development-tools", "type": "agent", "description": "A specialized GitHub Copilot agent that uses the LaunchDarkly MCP server to safely automate feature flag cleanup workflows. This agent determines removal readiness, identifies the correct forward value, and creates PRs that preserve production behavior while removing obsolete flags and updating stale defaults.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 49}, {"name": "mcp-expert", "path": "development-tools/mcp-expert.md", "category": "development-tools", "type": "agent", "description": "Model Context Protocol (MCP) integration specialist for the cli-tool components system. Use PROACTIVELY for MCP server configurations, protocol specifications, and integration patterns.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1819}, {"name": "pagerduty-incident-responder", "path": "development-tools/pagerduty-incident-responder.md", "category": "development-tools", "type": "agent", "description": "Responds to PagerDuty incidents by analyzing incident context, identifying recent code changes, and suggesting fixes via GitHub PRs.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 44}, {"name": "performance-engineer", "path": "development-tools/performance-engineer.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to identify and eliminate performance bottlenecks in applications, databases, or infrastructure systems, and when baseline performance metrics need improvement. Specifically:\\\\n\\\\n<example>\\\\nContext: An API is responding slowly in production with response times averaging 2.5 seconds, and users are complaining about lag.\\\\nuser: \\\"We're seeing slow API response times. Can you help identify what's causing the bottleneck?\\\"\\\\nassistant: \\\"I'll profile the application, analyze database queries, check resource utilization, and run load tests to identify the root cause. Let me start by collecting performance baselines and examining CPU, memory, and I/O patterns.\\\"\\\\n<commentary>\\\\nUse the performance-engineer agent when you need systematic bottleneck identification and have measurable performance problems. This agent conducts detailed profiling and load testing to pinpoint root causes.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A database query that previously took 100ms now takes 800ms after a data migration, and the team needs the database optimized.\\\\nuser: \\\"Our main query got much slower after migrating data. How do we fix this?\\\"\\\\nassistant: \\\"I'll analyze the execution plan, check index efficiency, review query optimization, and test different approaches. I can profile the database workload and implement targeted indexing and caching strategies.\\\"\\\\n<commentary>\\\\nInvoke the performance-engineer for database-specific performance issues like slow queries, connection pooling problems, or cache inefficiency. This agent specializes in query analysis and database tuning.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An e-commerce site experiences a 40% slowdown during peak traffic, and the team wants to ensure scalability for expected growth.\\\\nuser: \\\"We need to handle 10x our current traffic without performance degradation. What's our scalability plan?\\\"\\\\nassistant: \\\"I'll design load tests to simulate peak traffic, profile system behavior under stress, and implement horizontal scaling, auto-scaling policies, and load balancing strategies. Let me establish performance baselines and create a capacity plan.\\\"\\\\n<commentary>\\\\nUse the performance-engineer when you need scalability engineering, capacity planning, or validation that infrastructure can handle projected growth. This agent designs comprehensive load testing and scaling strategies.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 211}, {"name": "performance-profiler", "path": "development-tools/performance-profiler.md", "category": "development-tools", "type": "agent", "description": "Performance analysis and optimization specialist. Use PROACTIVELY for performance bottlenecks, memory leaks, load testing, optimization strategies, and system performance monitoring.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 582}, {"name": "playwright-tester", "path": "development-tools/playwright-tester.md", "category": "development-tools", "type": "agent", "description": "Testing mode for Playwright tests", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 210}, {"name": "qa-expert", "path": "development-tools/qa-expert.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need comprehensive quality assurance strategy, test planning across the entire development cycle, or quality metrics analysis to improve overall software quality. Specifically:\\\\n\\\\n<example>\\\\nContext: A development team is about to start a critical 6-month feature development and needs a complete QA strategy before coding begins.\\\\nuser: \\\"We need a comprehensive QA strategy for our upcoming project. What should our testing approach be for a complex e-commerce platform?\\\"\\\\nassistant: \\\"I'll develop a complete QA strategy addressing test planning, resource allocation, risk assessment, automation approach, and quality metrics. I'll analyze your architecture, identify critical test areas, recommend manual vs automated testing split, design test coverage targets, and establish quality gates for each release phase.\\\"\\\\n<commentary>\\\\nInvoke qa-expert when you need strategic QA planning across the full development lifecycle. This agent designs the overall quality approach, unlike test-automator which focuses specifically on automation implementation.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A team's current quality metrics show declining quality: defect escape rate is 15%, test coverage is only 52%, and production issues are increasing.\\\\nuser: \\\"Our quality metrics are getting worse. Defect escape rate is up, coverage is down, and we're getting customer complaints. How do we fix this?\\\"\\\\nassistant: \\\"I'll analyze your defect patterns, test coverage gaps, and quality process breakdowns. I'll conduct a comprehensive quality audit to identify root causes, recommend specific improvements to your testing strategy, suggest coverage targets, and implement quality metrics tracking to prevent regression.\\\"\\\\n<commentary>\\\\nUse the qa-expert when you need to diagnose systemic quality problems and develop a quality improvement plan. This agent conducts deep analysis and recommends strategic changes, not just automation or code review feedback.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A team is preparing for a major release and needs to validate that all quality standards are met before deployment.\\\\nuser: \\\"We're about to release a critical update. How do we ensure quality is acceptable for production release?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive pre-release quality assessment: review test coverage against requirements, validate defect severity and resolution, check test execution results, assess risk areas, verify automated test reliability, and provide a go/no-go recommendation based on established quality gates.\\\"\\\\n<commentary>\\\\nInvoke qa-expert for pre-release quality validation and release readiness assessments. This agent provides holistic quality evaluation and release recommendation, complementing the detailed code review feedback from other agents.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 265}, {"name": "refactoring-specialist", "path": "development-tools/refactoring-specialist.md", "category": "development-tools", "type": "agent", "description": "\"Use when you need to transform poorly structured, complex, or duplicated code into clean, maintainable systems while preserving all existing behavior. Specifically:\\\\n\\\\n<example>\\\\nContext: A codebase has methods exceeding 200 lines, deeply nested conditionals, and 15% code duplication across similar functions.\\\\nuser: \\\"Help me refactor this legacy payment processing module. The methods are too long and the logic is hard to follow.\\\"\\\\nassistant: \\\"I'll analyze the code for smells like long methods and duplicated logic, create comprehensive characterization tests to verify behavior, then systematically apply extract method, inline temporary variables, and consolidate duplicate code while tracking complexity metrics.\\\"\\\\n<commentary>\\\\nInvoke this agent when code quality metrics show complexity issues, code smells are detected, or maintainability is suffering despite tests passing. The agent excels at safe, incremental refactoring with continuous test verification.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A team is modernizing a legacy system with 40% code duplication and multiple overlapping design patterns that should be consolidated.\\\\nuser: \\\"We have three similar service classes that do almost the same thing. Can you refactor them to use a single abstract base class and strategy pattern?\\\"\\\\nassistant: \\\"I'll extract the common interface, create a template method for shared behavior, break dependencies, apply the strategy pattern to the divergent parts, then run the full test suite to ensure zero behavior changes while dramatically reducing duplication.\\\"\\\\n<commentary>\\\\nUse this agent for design pattern refactoring that improves architecture and eliminates duplicate logic. The agent applies SOLID principles and can handle complex structural transformations with safety guarantees.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Performance monitoring shows a database-heavy API endpoint performing 300 queries per request due to inefficient data access patterns.\\\\nuser: \\\"This endpoint is running way too many database queries. How can we refactor the data access layer?\\\"\\\\nassistant: \\\"I'll profile the queries, identify the N+1 query problems and missing indexes, refactor the data loading strategy with batch operations, introduce caching where appropriate, and validate with performance benchmarks that we've reduced queries to under 5 per request.\\\"\\\\n<commentary>\\\\nInvoke the refactoring specialist when performance issues stem from structural inefficiencies (not just algorithmic) that require safe refactoring of data access, query patterns, or architectural layers.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 240}, {"name": "rootly-incident-responder", "path": "development-tools/rootly-incident-responder.md", "category": "development-tools", "type": "agent", "description": "|", "author": "", "repo": "", "version": "\"1.0.0\"", "license": "", "keywords": [], "downloads": 45}, {"name": "slack-expert", "path": "development-tools/slack-expert.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when developing Slack applications, implementing Slack API integrations, or reviewing Slack bot code for security and best practices. Specifically:\\\\n\\\\n<example>\\\\nContext: Developer is building a new Slack bot using @slack/bolt that needs to handle app mentions, respond to slash commands, and display Block Kit modals.\\\\nuser: \\\"I'm building a Slack bot that handles app mentions, slash commands, and interactive modals. Can you help me set it up with proper error handling and event subscriptions?\\\"\\\\nassistant: \\\"I'll help you build this bot using @slack/bolt best practices. I'll set up proper event handlers with error handling, configure your slash commands, design Block Kit modals with proper state management, implement request signature verification, and ensure OAuth V2 flow is correctly configured. I'll also add rate limit handling and test everything before deployment.\\\"\\\\n<commentary>\\\\nInvoke slack-expert when building new Slack bots or applications, especially when you need guidance on @slack/bolt patterns, event handling architecture, or Block Kit UI design. This agent excels at setting up production-ready bots with security and scalability.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team has existing Slack integration code that needs security and efficiency review before production deployment.\\\\nuser: \\\"We have a Slack app that posts notifications to channels. Can you review it for security issues, rate limiting problems, and deprecated API usage?\\\"\\\\nassistant: \\\"I'll review your Slack code for request signature verification, secure token management, rate limit handling with exponential backoff, deprecated API calls, and Block Kit migration opportunities. I'll verify OAuth scopes follow principle of least privilege, check error handling patterns, and ensure it follows production readiness standards.\\\"\\\\n<commentary>\\\\nUse slack-expert for code reviews of existing Slack integrations when you need to verify security practices, identify deprecated APIs, ensure rate limiting is implemented correctly, or prepare for production deployment.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Developer is implementing OAuth authentication and webhook handling for a Slack app that will be distributed to multiple workspaces.\\\\nuser: \\\"I need to implement OAuth V2 authentication for our Slack app that will be installed in different workspaces. How should I handle token storage, socket mode vs HTTP webhooks, and event acknowledgment?\\\"\\\\nassistant: \\\"I'll help you set up OAuth V2 flow with secure token storage in environment variables, guide you on choosing Socket Mode for development vs HTTP webhooks for production, implement proper event acknowledgment to avoid duplicates, and ensure your app scales properly with multiple workspace installations. I'll also add monitoring and logging for production reliability.\\\"\\\\n<commentary>\\\\nInvoke slack-expert when implementing authentication flows, webhook handling, or preparing a Slack app for distribution to multiple workspaces. This agent specializes in security-first OAuth implementation and production-ready architectures.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 79}, {"name": "technical-debt-manager", "path": "development-tools/technical-debt-manager.md", "category": "development-tools", "type": "agent", "description": "Expert technical debt analyst for code health, maintainability, and strategic refactoring planning. Use PROACTIVELY when codebase shows complexity growth, when planning sprints, or when prioritizing engineering work.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 298}, {"name": "test-automator", "path": "development-tools/test-automator.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to build, implement, or enhance automated test frameworks, create test scripts, or integrate testing into CI/CD pipelines. Specifically:\\\\n\\\\n<example>\\\\nContext: A team has identified a set of manual test cases that need to be automated to reduce regression testing time from 3 days to hours.\\\\nuser: \\\"We have 200+ manual test cases that we need to automate. Our QA team spends 3 days on regression testing each sprint. Can you build an automation framework?\\\"\\\\nassistant: \\\"I'll design and implement a complete test automation framework. First, I'll analyze your manual test cases to identify automation candidates, select appropriate frameworks and tools for your tech stack, design the framework architecture with reusable components, create test scripts for your priority cases, and integrate everything into your CI/CD pipeline. We'll focus on maintainability and execution speed.\\\"\\\\n<commentary>\\\\nUse test-automator when you have an automation strategy in place (from qa-expert) and need hands-on implementation of test frameworks and scripts. This agent builds the actual automation solution, not the strategic quality plan.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing test automation suite is brittle, has flaky tests, and is difficult to maintain. The team wants to refactor and improve the framework.\\\\nuser: \\\"Our automated tests are failing randomly, taking too long to run, and the code is hard to maintain. How do we fix our test framework?\\\"\\\\nassistant: \\\"I'll audit your current framework, identify maintenance issues and flaky test causes, refactor the architecture using best practices like page object models, improve wait strategies and error handling, optimize test execution for speed and parallelization, add comprehensive logging and reporting, and document patterns for your team.\\\"\\\\n<commentary>\\\\nInvoke test-automator to improve existing automation infrastructure. This agent specializes in framework optimization, addressing flakiness, improving maintainability, and scaling test execution—the implementation-level work.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A development team is building a new microservices platform and needs to automate API testing as part of their CI/CD pipeline.\\\\nuser: \\\"We're building microservices with APIs. We need automated API testing integrated into CI/CD so we can catch integration issues early. How should we set this up?\\\"\\\\nassistant: \\\"I'll design an API-specific test automation strategy using contract testing and data-driven approaches. I'll create a framework for request building, response validation, and error scenario testing. I'll handle authentication, mock services, performance assertions, and CI/CD integration with result reporting and failure analysis.\\\"\\\\n<commentary>\\\\nUse test-automator for specific automation implementation work like API testing, UI automation, or mobile testing. This agent takes the testing requirements and builds working automation infrastructure and test scripts.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 171}, {"name": "test-engineer", "path": "development-tools/test-engineer.md", "category": "development-tools", "type": "agent", "description": "Test automation and quality assurance specialist. Use PROACTIVELY for test strategy, test automation, coverage analysis, CI/CD testing, and quality engineering practices.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 2863}, {"name": "thinking-beast-mode", "path": "development-tools/thinking-beast-mode.md", "category": "development-tools", "type": "agent", "description": "Use this agent for long-running, autonomous multi-step engineering tasks that must be driven to full completion without handing control back early — e.g., \"fix this failing test suite and don't stop until every test passes,\" \"implement this feature end-to-end including tests,\" or \"track down this intermittent bug.\" The agent plans, investigates the codebase (and the web when needed), implements, and rigorously verifies before ending its turn, checking off a visible todo list as it goes.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 0}, {"name": "tooling-engineer", "path": "development-tools/tooling-engineer.md", "category": "development-tools", "type": "agent", "description": "\"Use this agent when you need to build or enhance developer tools including CLIs, code generators, build tools, and IDE extensions. Specifically:\\\\n\\\\n<example>\\\\nContext: Team has recurring manual tasks that could be automated with a custom CLI tool.\\\\nuser: \\\"We spend 30 minutes daily on repetitive deployment checks and configuration validation. Can you design and build a CLI tool that automates this?\\\"\\\\nassistant: \\\"I'll design a performant CLI tool with subcommands for your common workflows, built-in configuration management, interactive prompts for validation, and progress indicators. I'll ensure startup time is under 100ms, make it cross-platform compatible, add shell completion support, and include comprehensive error handling with helpful messages. The tool will be distributed via npm with auto-update capability.\\\"\\\\n<commentary>\\\\nInvoke tooling-engineer when you need to build new developer tools, CLIs, code generators, or enhance tool architecture. This is distinct from build-engineer (who optimizes existing build systems) and dx-optimizer (who improves workflows without necessarily building new tools). Tooling-engineer creates new tools from scratch or significantly extends existing ones.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Organization wants to standardize code generation and scaffolding across multiple projects.\\\\nuser: \\\"We need a code generation tool that can scaffold new services following our architecture patterns. It should generate TypeScript types, database migrations, API routes, and tests automatically.\\\"\\\\nassistant: \\\"I'll build a schema-driven code generator with plugin support for different code types. It will include template engines for customization, AST manipulation for type generation, scaffold commands for service creation, configuration management for project-specific settings, and comprehensive documentation. I'll ensure extensibility so teams can add custom generators, and include validation to guarantee generated code follows your standards.\\\"\\\\n<commentary>\\\\nUse tooling-engineer for specialized code generation tools, scaffolding systems, and generators that reduce boilerplate and enforce architectural patterns across teams. These tools typically integrate with CI/CD and require careful design for extensibility.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team needs to build IDE extensions and language server protocols for better developer experience.\\\\nuser: \\\"We want to build a VS Code extension that provides code completion, refactoring, and debugging capabilities for our custom DSL. Can you design the architecture and implementation?\\\"\\\\nassistant: \\\"I'll design the extension with a language server protocol implementation for cross-editor compatibility, create syntax highlighting and code completion providers, build refactoring tools, integrate debugging support, and design the plugin architecture for extensibility. I'll optimize for performance, ensure users can configure the extension through settings, and provide clear error messages with recovery suggestions.\\\"\\\\n<commentary>\\\\nInvoke tooling-engineer when creating IDE extensions, language servers, or sophisticated tools that require plugin systems, event-driven architecture, and careful performance optimization. These tools enhance the development environment itself rather than build processes.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 71}, {"name": "unused-code-cleaner", "path": "development-tools/unused-code-cleaner.md", "category": "development-tools", "type": "agent", "description": "Detects and removes unused code (imports, functions, classes) across multiple languages. Use PROACTIVELY after refactoring, when removing features, or before production deployment.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 601}, {"name": "apify-integration-expert", "path": "devops-infrastructure/apify-integration-expert.md", "category": "devops-infrastructure", "type": "agent", "description": "Expert agent for integrating Apify Actors into codebases. Handles Actor selection, workflow design, implementation across JavaScript/TypeScript and Python, testing, and production-ready deployment. Use proactively whenever the user wants to scrape a website, automate a browser task, or wire an Apify Actor into their app.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 70}, {"name": "arm-migration", "path": "devops-infrastructure/arm-migration.md", "category": "devops-infrastructure", "type": "agent", "description": "Arm Cloud Migration Assistant accelerates moving x86 workloads to Arm infrastructure. It scans the repository for architecture assumptions, portability issues, container base image and dependency incompatibilities, and recommends Arm-optimized changes. It can drive multi-arch container builds, validate performance, and guide optimization, enabling smooth cross-platform deployment directly inside GitHub.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 45}, {"name": "azure-iac-exporter", "path": "devops-infrastructure/azure-iac-exporter.md", "category": "devops-infrastructure", "type": "agent", "description": "Export existing Azure resources to Infrastructure as Code templates via Azure Resource Graph analysis, Azure Resource Manager API calls, and azure-iac-generator integration. Use this skill when the user asks to export, convert, migrate, or extract existing Azure resources to IaC templates (Bicep, ARM Templates, Terraform, Pulumi).", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 57}, {"name": "azure-iac-generator", "path": "devops-infrastructure/azure-iac-generator.md", "category": "devops-infrastructure", "type": "agent", "description": "Central hub for generating Infrastructure as Code (Bicep, ARM, Terraform, Pulumi) with format-specific validation and best practices. Use this skill when the user asks to generate, create, write, or build infrastructure code, deployment code, or IaC templates in any format (Bicep, ARM Templates, Terraform, Pulumi).", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 49}, {"name": "azure-infra-engineer", "path": "devops-infrastructure/azure-infra-engineer.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use when designing, deploying, or managing Azure infrastructure with focus on network architecture, Entra ID integration, PowerShell automation, and Bicep IaC. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a multi-region Azure infrastructure with hybrid identity and secure networking for an enterprise migration\\\\nuser: \\\"We're migrating on-premises workloads to Azure. Need multi-region infrastructure with VNets, NSGs, Azure Firewall, Entra ID sync with on-prem AD, managed identities for applications, and everything automated with PowerShell and Bicep templates.\\\"\\\\nassistant: \\\"I'll design and implement: multi-region VNet architecture with hub-spoke topology, Azure Firewall for centralized security, NSG rules with least-privilege access, Entra ID Connect configuration for hybrid identity, managed identities for service principals, comprehensive Bicep templates for infrastructure-as-code, PowerShell scripts for deployment and ongoing management, RBAC policies aligned with your AD groups, and monitoring/alerting for all resources.\\\"\\\\n<commentary>\\\\nUse azure-infra-engineer when you need to design complete Azure network infrastructure, integrate on-premises identity systems (Entra ID), automate deployments with PowerShell and Bicep, or manage complex multi-region Azure environments. This agent specializes in the infrastructure layer and operational automation that azure-specialist/cloud-architect don't dive into.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Converting manual Azure deployments to infrastructure-as-code with Bicep and automating operational tasks with PowerShell\\\\nuser: \\\"Our Azure infrastructure is created manually through the portal and undocumented. We have VMs, storage, networking, all done manually. How do we convert to Bicep, version control it, automate deployments, and ensure consistency across dev/test/prod?\\\"\\\\nassistant: \\\"I'll create a Bicep-based IaC strategy: map existing resources, write modular Bicep templates for compute/network/storage/security, set up parameter files for different environments, create PowerShell deployment scripts with pre-flight validation, establish naming standards and tagging strategy, implement resource group organization, set up CI/CD pipelines for Bicep validation and deployment, document architecture decisions, and train your team on maintaining IaC.\\\"\\\\n<commentary>\\\\nInvoke azure-infra-engineer when modernizing from manual Azure deployments to infrastructure-as-code, implementing Bicep templates, automating operational tasks with PowerShell, or establishing IaC governance and best practices for your Azure subscriptions.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Troubleshooting Azure networking issues and implementing security policies for compliance\\\\nuser: \\\"VMs can't reach on-premises databases through our site-to-site VPN. We need to debug VNet routing, NSG rules, Azure Firewall policies, and implement zero-trust principles with managed identities. Also need to audit access with Azure Policies.\\\"\\\\nassistant: \\\"I'll diagnose and fix: check VNet peering and routing tables with PowerShell, validate NSG rules on subnets/NICs, test Azure Firewall rules and diagnostics, fix VPN gateway configuration, implement user-defined routes (UDRs), set up managed identities for all services eliminating shared secrets, apply Azure Policy for zero-trust enforcement, audit RBAC assignments, and create runbooks for monitoring connectivity and enforcing compliance automatically.\\\"\\\\n<commentary>\\\\nUse azure-infra-engineer for Azure networking troubleshooting, security policy implementation, VPN/ExpressRoute configuration, identity and access management (Entra ID, managed identities, RBAC), or compliance automation with Azure Policies and PowerShell operational scripts.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 68}, {"name": "azure-logic-apps-expert", "path": "devops-infrastructure/azure-logic-apps-expert.md", "category": "devops-infrastructure", "type": "agent", "description": "Expert guidance for Azure Logic Apps development focusing on workflow design, integration patterns, and JSON-based Workflow Definition Language.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 59}, {"name": "azure-principal-architect", "path": "devops-infrastructure/azure-principal-architect.md", "category": "devops-infrastructure", "type": "agent", "description": "Provide expert Azure Principal Architect guidance using Azure Well-Architected Framework principles and Microsoft best practices.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 70}, {"name": "azure-saas-architect", "path": "devops-infrastructure/azure-saas-architect.md", "category": "devops-infrastructure", "type": "agent", "description": "Provide expert Azure SaaS Architect guidance focusing on multitenant applications using Azure Well-Architected SaaS principles and Microsoft best practices.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 66}, {"name": "azure-verified-modules-bicep", "path": "devops-infrastructure/azure-verified-modules-bicep.md", "category": "devops-infrastructure", "type": "agent", "description": "Create, update, or review Azure IaC in Bicep using Azure Verified Modules (AVM).", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 45}, {"name": "azure-verified-modules-terraform", "path": "devops-infrastructure/azure-verified-modules-terraform.md", "category": "devops-infrastructure", "type": "agent", "description": "Create, update, or review Azure IaC in Terraform using Azure Verified Modules (AVM).", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 58}, {"name": "bicep-implement", "path": "devops-infrastructure/bicep-implement.md", "category": "devops-infrastructure", "type": "agent", "description": "Act as an Azure Bicep Infrastructure as Code coding specialist that creates Bicep templates.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 47}, {"name": "bicep-plan", "path": "devops-infrastructure/bicep-plan.md", "category": "devops-infrastructure", "type": "agent", "description": "Act as implementation planner for your Azure Bicep Infrastructure as Code task.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 44}, {"name": "cloud-architect", "path": "devops-infrastructure/cloud-architect.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use this agent when you need to design, evaluate, or optimize cloud infrastructure architecture at scale. Invoke when designing multi-cloud strategies, planning cloud migrations, implementing disaster recovery, optimizing cloud costs, or ensuring security/compliance across cloud platforms. Specifically:\\\\n\\\\n<example>\\\\nContext: A company is planning to migrate their monolithic on-premises application to the cloud and needs architectural guidance.\\\\nuser: \\\"We're moving from on-premises to AWS. We have 200 users, need 99.9% uptime, and expect 50% growth annually. What should our architecture look like?\\\"\\\\nassistant: \\\"I'll design a scalable, resilient AWS architecture. Based on your requirements, I recommend a multi-AZ deployment with auto-scaling, RDS for databases with read replicas, CloudFront CDN for static content, and CloudWatch for monitoring. This gives you 99.99% availability, handles 3x traffic spikes, and costs ~40% less than traditional on-premises.\\\"\\\\n<commentary>\\\\nUse the cloud-architect when the user needs to design a complete cloud infrastructure from scratch, especially for migrations. The agent provides comprehensive architecture design covering compute, storage, networking, security, and cost optimization.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An organization is running in AWS but expenses are 60% higher than expected and they need cost optimization without sacrificing performance.\\\\nuser: \\\"Our AWS bill jumped to $150K/month. We're using mostly on-demand instances. How do we optimize costs?\\\"\\\\nassistant: \\\"Let me analyze your workloads. I recommend: right-sizing your EC2 instances (typically saves 20-30%), purchasing 3-year Reserved Instances for baseline capacity (40% discount), implementing Spot Instances for fault-tolerant workloads (70% discount), enabling S3 Intelligent-Tiering for storage lifecycle, and using AWS Compute Optimizer. Projected savings: 45-50% or ~$70K/month.\\\"\\\\n<commentary>\\\\nUse the cloud-architect for cost optimization scenarios where existing infrastructure needs financial improvements. The agent applies FinOps practices and cloud-specific cost reduction strategies.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A healthcare provider needs to ensure their multi-cloud infrastructure meets HIPAA compliance and implements proper disaster recovery.\\\\nuser: \\\"We use AWS and Azure for redundancy. We need HIPAA compliance and must survive a complete region failure with recovery in under 4 hours.\\\"\\\\nassistant: \\\"I'll design a compliant, resilient architecture. For HIPAA: implement encryption at rest/in-transit, create isolated VPCs with network segmentation, enable CloudTrail/audit logging, implement zero-trust access control. For DR: replicate data across regions in real-time, set up automated failover with RTO < 4 hours, create runbooks, test quarterly. I'll document the architecture and compliance mappings.\\\"\\\\n<commentary>\\\\nUse the cloud-architect when addressing regulatory compliance, disaster recovery requirements, or complex multi-cloud scenarios. The agent designs security-first architectures and business continuity strategies.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 914}, {"name": "deployment-engineer", "path": "devops-infrastructure/deployment-engineer.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use this agent when designing, building, or optimizing CI/CD pipelines and deployment automation strategies. Specifically:\\\\n\\\\n<example>\\\\nContext: A team wants to accelerate their release process and reduce deployment friction.\\\\nuser: \\\"Our deployments are slow and manual. We deploy every 2 weeks with 4-hour windows. Can you help?\\\"\\\\nassistant: \\\"I'll use the deployment-engineer agent to analyze your current process and implement a modern CI/CD pipeline targeting daily deployments with automated safety checks.\\\"\\\\n<commentary>\\\\nWhen a user needs to design or improve deployment pipelines, increase deployment frequency, or implement CI/CD automation, invoke the deployment-engineer agent to design comprehensive solutions.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Infrastructure team needs to implement safer deployment strategies with minimal downtime.\\\\nuser: \\\"We need to roll out features without taking the service down. How do we set up blue-green and canary deployments?\\\"\\\\nassistant: \\\"I'll use the deployment-engineer agent to architect and implement blue-green and canary deployment strategies with automated rollback capabilities and monitoring integration.\\\"\\\\n<commentary>\\\\nWhen the user needs to implement specific deployment strategies like blue-green, canary, or rolling updates with zero-downtime guarantees, use the deployment-engineer agent to design and build the solution.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Organization requires faster incident recovery and rollback capabilities.\\\\nuser: \\\"When deployments go wrong, it takes us 45 minutes to recover. We need faster rollbacks.\\\"\\\\nassistant: \\\"I'll use the deployment-engineer agent to design automated rollback procedures, implement health checks, and configure rapid incident response mechanisms to reduce MTTR below 30 minutes.\\\"\\\\n<commentary>\\\\nWhen the focus is on deployment reliability, rollback speed, incident recovery, or meeting DORA metrics (deployment frequency, lead time, MTTR, change failure rate), the deployment-engineer agent is the right choice.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1803}, {"name": "devops-engineer", "path": "devops-infrastructure/devops-engineer.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use this agent when building or optimizing infrastructure automation, CI/CD pipelines, containerization strategies, and deployment workflows to accelerate software delivery while maintaining reliability and security. Specifically:\\\\n\\\\n<example>\\\\nContext: A team has repetitive manual infrastructure provisioning processes that take hours and need to migrate to Infrastructure as Code with multiple cloud environments.\\\\nuser: \\\"We're manually provisioning servers for dev, staging, and production. It's error-prone and slow. We need to automate this with IaC using Terraform, support AWS and Azure, and ensure consistency across environments.\\\"\\\\nassistant: \\\"I'll architect a comprehensive IaC solution. I'll design modular Terraform modules for compute, networking, storage, and databases. I'll set up multi-environment structures with dev/staging/prod configurations, implement state management, create automated drift detection, and establish GitOps workflows so deployments trigger on code changes. I'll also add security scanning and compliance automation.\\\"\\\\n<commentary>\\\\nUse the devops-engineer agent when implementing Infrastructure as Code, automating infrastructure provisioning, or migrating from manual processes to fully automated, version-controlled infrastructure management.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A development team struggles with slow, unreliable deployments and wants to establish modern CI/CD practices with multiple deployment strategies.\\\\nuser: \\\"Our deployments take 2 hours, fail frequently, and have no rollback capability. We need a proper CI/CD pipeline with containerization, automated testing gates, canary deployments, and quick rollbacks.\\\"\\\\nassistant: \\\"I'll design a complete CI/CD transformation. I'll containerize your application with Docker, build an automated pipeline using GitHub Actions or GitLab CI with test automation and security scanning, implement canary and blue-green deployment strategies, set up comprehensive monitoring with automated rollbacks, and create runbooks for incident response. I'll target 10+ deployments per day with sub-30-minute MTTR.\\\"\\\\n<commentary>\\\\nInvoke this agent when establishing or improving CI/CD pipelines, implementing deployment automation, reducing mean time to deployment, and enabling teams to deploy safely and frequently.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Production incidents reveal gaps in monitoring, observability, and incident response processes that delay recovery and create toil for the team.\\\\nuser: \\\"We had an outage last week that took 4 hours to detect and 2 hours to resolve. We need better monitoring, alerting, observability, and documented incident response procedures.\\\"\\\\nassistant: \\\"I'll establish production observability and incident response. I'll implement comprehensive metrics collection, centralized logging, distributed tracing, and intelligent alerting with alert routing. I'll create SLOs and error budgets to balance feature velocity with reliability. I'll establish on-call procedures, create runbooks for common incidents, and implement blameless postmortem processes. This will reduce MTTR to under 30 minutes and build a healthy on-call culture.\\\"\\\\n<commentary>\\\\nUse this agent when building monitoring and observability infrastructure, establishing incident response procedures, reducing mean time to resolution, and improving operational reliability and team satisfaction.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 227}, {"name": "devops-expert", "path": "devops-infrastructure/devops-expert.md", "category": "devops-infrastructure", "type": "agent", "description": "DevOps specialist following the infinity loop principle (Plan → Code → Build → Test → Release → Deploy → Operate → Monitor) with focus on automation, collaboration, and continuous improvement", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 173}, {"name": "devops-incident-responder", "path": "devops-infrastructure/devops-incident-responder.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use when actively responding to production incidents, diagnosing critical service failures, or conducting incident postmortems to implement permanent fixes and preventative measures. Specifically:\\\\n\\\\n<example>\\\\nContext: A critical database service has gone down, causing customer-facing API timeouts. The on-call engineer needs immediate help triaging impact and determining next steps.\\\\nuser: \\\"We're getting spiked error rates on our API - database connection timeouts appearing 2 minutes ago. I need to triage this quickly.\\\"\\\\nassistant: \\\"I'll help diagnose this immediately. Let me query the system architecture and recent changes, check database logs for connection issues, identify affected services, assess customer impact, and determine if rollback or failover is needed. Do we have a distributed trace showing the failure pattern?\\\"\\\\n<commentary>\\\\nUse the devops-incident-responder when actively in incident response mode needing rapid diagnosis and decision support during an active production incident.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An incident occurred 12 hours ago and was resolved, but the team needs to conduct a thorough postmortem to prevent recurrence.\\\\nuser: \\\"We had a deployment issue this morning that caused 30 minutes of downtime. Can you help us document the timeline and identify what we could have prevented?\\\"\\\\nassistant: \\\"I'll help conduct the postmortem. Let me gather the timeline from logs, analyze the root cause through the incident sequence, identify preventative measures we could have implemented, and create action items for our runbook and monitoring gaps. I'll structure this in a blameless format focused on system improvements.\\\"\\\\n<commentary>\\\\nUse the devops-incident-responder for post-incident analysis and creating improvements to prevent similar failures, focusing on root cause analysis and process refinement.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: The engineering team wants to improve their incident detection and response capabilities to reduce MTTR and runbook coverage gaps.\\\\nuser: \\\"Our MTTR is currently 45 minutes and we only have runbooks for 60% of critical scenarios. What should we focus on first?\\\"\\\\nassistant: \\\"I'll assess your current incident readiness. Let me review your monitoring coverage, alert effectiveness, existing runbooks, team procedures, and historical incidents. I'll identify gaps in detection speed, recommend alert optimization, create runbook templates for missing procedures, and suggest automation opportunities to reduce MTTR.\\\"\\\\n<commentary>\\\\nUse the devops-incident-responder when building or improving incident response infrastructure, implementing runbooks, alert optimization, and automation systems to reduce incident impact.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 58}, {"name": "devops-troubleshooter", "path": "devops-infrastructure/devops-troubleshooter.md", "category": "devops-infrastructure", "type": "agent", "description": "Production troubleshooting and incident response specialist. Use PROACTIVELY for debugging issues, log analysis, deployment failures, monitoring setup, and root cause analysis.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 735}, {"name": "incident-responder", "path": "devops-infrastructure/incident-responder.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use this agent when an active security breach, service outage, or operational incident requires immediate response, evidence preservation, and coordinated recovery. Specifically:\\\\n\\\\n<example>\\\\nContext: Your production database has gone offline and customers are experiencing service failures.\\\\nuser: \\\"Our database is down and affecting all users. We need to respond immediately.\\\"\\\\nassistant: \\\"I'll activate the incident-responder agent to manage this service outage - we'll assess severity, mobilize the response team, preserve evidence, coordinate communication, and execute recovery.\\\"\\\\n<commentary>\\\\nWhen a critical operational incident occurs (service outage, performance degradation, data loss), use incident-responder to coordinate rapid response, investigation, and recovery with proper stakeholder communication.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Your security team has detected suspicious login activity and potential unauthorized data access.\\\\nuser: \\\"We may have been compromised. Unusual login patterns detected in the audit logs from last night.\\\"\\\\nassistant: \\\"I'll engage the incident-responder agent to handle this security incident - we'll conduct forensic analysis, assess the scope of compromise, contain the threat, and follow proper notification procedures.\\\"\\\\n<commentary>\\\\nWhen a security breach or suspicious activity is discovered, use incident-responder to investigate thoroughly, collect forensic evidence, determine impact, and coordinate response with legal and compliance teams.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A production incident has been resolved and you need to conduct a post-incident review.\\\\nuser: \\\"The system is back up. Now we need to document what happened and prevent this in the future.\\\"\\\\nassistant: \\\"I'll use the incident-responder agent to facilitate the post-incident review - analyzing logs, documenting the timeline, identifying root causes, and recommending process improvements.\\\"\\\\n<commentary>\\\\nAfter an incident is resolved, use incident-responder to conduct comprehensive post-incident analysis, create detailed documentation, extract lessons learned, and implement preventive measures.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 62}, {"name": "kubernetes-specialist", "path": "devops-infrastructure/kubernetes-specialist.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use this agent when you need to design, deploy, configure, or troubleshoot Kubernetes clusters and workloads in production environments. Specifically:\\\\n\\\\n<example>\\\\nContext: Your team needs to set up a production Kubernetes cluster with high availability, security hardening, and auto-scaling capabilities.\\\\nuser: \\\"We're migrating our microservices to Kubernetes. Can you design a production-grade cluster architecture with security best practices and performance optimization?\\\"\\\\nassistant: \\\"I'll design a multi-master control plane setup with etcd redundancy, implement CIS Kubernetes Benchmark compliance, configure RBAC and network policies, set up auto-scaling policies, and create a disaster recovery plan with tested failover procedures.\\\"\\\\n<commentary>\\\\nUse the kubernetes-specialist when designing new Kubernetes infrastructure from scratch, especially when production requirements include high availability, security compliance, and scalability targets.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing Kubernetes cluster has performance issues and security gaps that need remediation.\\\\nuser: \\\"Our Kubernetes cluster is using 40% of its CPU capacity but has frequent pod evictions. Performance is degraded and we're not confident in our security posture. Can you audit and optimize?\\\"\\\\nassistant: \\\"I'll analyze your cluster configuration, review resource requests/limits, check for security vulnerabilities, implement node affinity rules, enable cluster autoscaling, and recommend storage and networking optimizations to improve efficiency while maintaining security.\\\"\\\\n<commentary>\\\\nUse the kubernetes-specialist when troubleshooting cluster performance issues, security problems, or resource inefficiencies in existing environments. The agent performs diagnostics and implements targeted improvements.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Your organization is adopting multi-tenancy with multiple teams sharing a single Kubernetes cluster.\\\\nuser: \\\"We need to set up namespace isolation, separate resource quotas, and ensure teams can't access each other's data. Also need network segmentation and audit logging.\\\"\\\\nassistant: \\\"I'll configure namespace-based isolation with RBAC per tenant, implement resource quotas and network policies, set up persistent volume access controls, enable audit logging with tenant filtering, and create GitOps workflows for multi-tenant management.\\\"\\\\n<commentary>\\\\nUse the kubernetes-specialist when implementing multi-tenancy, complex networking requirements, or setting up GitOps workflows like ArgoCD. These scenarios require deep Kubernetes expertise for production safety.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 113}, {"name": "kusto-assistant", "path": "devops-infrastructure/kusto-assistant.md", "category": "devops-infrastructure", "type": "agent", "description": "Expert KQL assistant for live Azure Data Explorer analysis via Azure MCP server", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 47}, {"name": "m365-admin", "path": "devops-infrastructure/m365-admin.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use when automating Microsoft 365 administrative tasks including Exchange Online mailbox provisioning, Teams collaboration management, SharePoint site configuration, license lifecycle management, and Graph API-driven identity automation. Specifically:\\\\n\\\\n<example>\\\\nContext: Enterprise onboarding new employees across departments with Exchange mailbox creation, Teams team membership, SharePoint site permissions, and license assignment\\\\nuser: \\\"We need to automate onboarding so when a new employee is added to our HR system, they automatically get an Exchange mailbox with forwarding rules, added to their department's Teams channel, granted appropriate SharePoint site permissions, and assigned the correct M365 licenses based on their role.\\\"\\\\nassistant: \\\"I'll create a comprehensive onboarding automation workflow: Connect to Exchange Online to provision mailbox with specific retention/forwarding settings, use Microsoft Graph to create/manage Teams membership and channel assignments, configure SharePoint site access with least-privilege permissions based on department, implement license assignment logic using Graph API to apply correct SKUs, add audit logging for compliance, handle error conditions with notifications, and provide a deployment guide with required permissions.\\\"\\\\n<commentary>\\\\nUse m365-admin for building enterprise-scale onboarding automation across multiple M365 workloads where you need coordinated provisioning, license management via Graph API, and security controls to ensure proper access governance.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Auditing and fixing external sharing misconfigurations across SharePoint and Teams before security audit\\\\nuser: \\\"Our security team found excessive external sharing in SharePoint sites and Teams channels. We need to audit all external sharing, identify misconfigured sites, disable inappropriate external access, and implement policies to prevent future issues.\\\"\\\\nassistant: \\\"I'll build an audit and remediation solution: Query SharePoint sites via Graph API to enumerate external sharing policies and site permissions, list Teams external guest access settings, generate a detailed report of high-risk external shares, create PowerShell scripts to disable external sharing where needed, implement SharePoint information barriers and Teams external access policies, set up ongoing monitoring with alerts for unauthorized external sharing attempts.\\\"\\\\n<commentary>\\\\nInvoke m365-admin when you need to audit M365 security posture across Exchange, Teams, and SharePoint, remediate access misconfigurations, implement compliance policies, or prevent unauthorized external collaboration.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Bulk mailbox migration with retention policy changes and compliance holds\\\\nuser: \\\"We're consolidating from multiple Exchange organizations into a single tenant. Need to migrate 5,000 mailboxes while applying new retention policies, implementing eDiscovery holds for legal compliance, and updating transport rules for the merged organization.\\\"\\\\nassistant: \\\"I'll orchestrate the migration: Create Exchange transport rules for the consolidated domain, prepare mailbox provisioning and archive configuration using Exchange Online commands, implement retention and holds policies via Compliance Center API, validate migration waves with PowerShell batching, set up mailbox forwarding for cutover period, audit user data integrity post-migration, configure compliance holds for specified users, and create monitoring dashboards for migration progress and issues.\\\"\\\\n<commentary>\\\\nUse m365-admin for complex Exchange Online migrations, bulk mailbox operations, retention policy implementations, compliance/legal holds, or when coordinating configuration changes across a large M365 tenant.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 63}, {"name": "microservices-architect", "path": "devops-infrastructure/microservices-architect.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use when designing distributed system architecture, decomposing monolithic applications into independent microservices, or establishing communication patterns between services at scale. Specifically:\\\\n\\\\n<example>\\\\nContext: A company has a monolithic e-commerce application becoming difficult to scale and deploy. Different teams need to own separate business domains independently.\\\\nuser: \\\"Help us decompose our monolith into microservices. We have user management, product catalog, orders, and payments all tightly coupled. What's the best way to split this?\\\"\\\\nassistant: \\\"I'll help you decompose using domain-driven design. First, let's identify bounded contexts: Users, Products, Orders, and Payments are clear domains. For service boundaries, I'd recommend: 1) User Service (authentication, profiles), 2) Product Service (catalog, inventory), 3) Order Service (orchestration, shipping), 4) Payment Service (processing, reconciliation). For data strategy, each service gets its own database. Orders needs events (OrderCreated, PaymentProcessed) published to Kafka. I'll create the architecture diagram, database schemas, and deployment manifests.\\\"\\\\n<commentary>\\\\nUse this agent when facing monolith decomposition challenges or when establishing the initial microservices architecture. The agent excels at domain analysis, service boundary identification, and creating the foundational structure for distributed systems.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Multiple teams are building microservices that need to communicate. Some services need real-time responses while others can process asynchronously. Performance and failure resilience are critical requirements.\\\\nuser: \\\"We have 8 microservices that need to talk to each other. How should we handle synchronous calls like user service to order service, and asynchronous workflows like order to payment to fulfillment?\\\"\\\\nassistant: \\\"I'll design a hybrid communication strategy: For tight coupling (user→order), use gRPC with circuit breakers and timeouts for low-latency sync calls. For loose coupling (order→payment→fulfillment), use Kafka event streaming with saga pattern for distributed transactions. I'll implement resilience patterns: exponential backoff retries, bulkhead isolation per service, and health checks. Here's the service mesh config for Istio to manage traffic, retries, and timeouts automatically.\\\"\\\\n<commentary>\\\\nUse this agent for complex inter-service communication design, especially when balancing synchronous and asynchronous patterns. The agent designs resilience patterns, message architectures, and service mesh configurations that production systems require.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A microservices platform has been running for 6 months but operational issues are emerging: cascading failures, deployment coordination problems, observability gaps, and unclear service ownership.\\\\nuser: \\\"Our microservices are live but we're struggling with production reliability. We need better monitoring, clearer ownership models, and ways to prevent one service failure from crashing everything.\\\"\\\\nassistant: \\\"I'll design operational excellence across three areas: 1) Resilience: implement circuit breakers, distributed tracing via Jaeger, and chaos engineering tests to find failure modes. 2) Ownership: create clear service ownership model with on-call rotations, runbooks, and SLI/SLO definitions per service. 3) Observability: deploy Prometheus for metrics, ELK for logs, and correlation IDs for tracing request flows across services. I'll also establish deployment procedures with canary releases and automated rollback triggers.\\\"\\\\n<commentary>\\\\nUse this agent when implementing production hardening for existing microservices platforms. The agent focuses on operational excellence: resilience patterns, team structures, observability, and deployment strategies that mature distributed systems need.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 85}, {"name": "microsoft-study-mode", "path": "devops-infrastructure/microsoft-study-mode.md", "category": "devops-infrastructure", "type": "agent", "description": "Activate your personal Microsoft/Azure tutor - learn through guided discovery, not just answers.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 52}, {"name": "monitoring-specialist", "path": "devops-infrastructure/monitoring-specialist.md", "category": "devops-infrastructure", "type": "agent", "description": "Monitoring and observability infrastructure specialist. Use PROACTIVELY for metrics collection, alerting systems, log aggregation, distributed tracing, SLA monitoring, and performance dashboards.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 490}, {"name": "neo4j-docker-client-generator", "path": "devops-infrastructure/neo4j-docker-client-generator.md", "category": "devops-infrastructure", "type": "agent", "description": "AI agent that generates simple, high-quality Python Neo4j client libraries from GitHub issues with proper best practices", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 51}, {"name": "network-engineer", "path": "devops-infrastructure/network-engineer.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use this agent when designing, optimizing, or troubleshooting cloud and hybrid network infrastructures, or when addressing network security, performance, or reliability challenges. Specifically:\\\\n\\\\n<example>\\\\nContext: User needs to design a multi-region network for a global application with strict latency and availability requirements.\\\\nuser: \\\"We need to design a network that connects our 5 regional data centers with sub-50ms latency and 99.99% uptime. What should the architecture look like?\\\"\\\\nassistant: \\\"I'll use the network-engineer agent to design a multi-region network architecture with proper redundancy, traffic optimization, and failover mechanisms to meet your SLA requirements.\\\"\\\\n<commentary>\\\\nNetwork architecture design for complex infrastructures requires expertise in topology design, redundancy patterns, and performance optimization. This is the primary use case for the network-engineer agent.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is experiencing network performance issues and needs diagnosis and optimization.\\\\nuser: \\\"Our application users in Europe are experiencing 150ms latency to our US-based services. We need to optimize our network routing and consider CDN placement.\\\"\\\\nassistant: \\\"I'll use the network-engineer agent to analyze your current traffic patterns, design a optimized routing strategy, and recommend edge location placement to reduce latency.\\\"\\\\n<commentary>\\\\nPerformance troubleshooting and optimization across distributed networks is a core responsibility of the network-engineer agent.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User needs to implement security best practices across a cloud infrastructure.\\\\nuser: \\\"We're migrating to AWS and need to implement a zero-trust network architecture with proper segmentation, firewall rules, and DDoS protection.\\\"\\\\nassistant: \\\"I'll use the network-engineer agent to design a secure network with micro-segmentation, implement network ACLs, configure WAF rules, and set up DDoS protection mechanisms.\\\"\\\\n<commentary>\\\\nNetwork security implementation including segmentation, access controls, and threat protection requires specialized expertise provided by the network-engineer agent.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 576}, {"name": "octopus-deploy-release-notes-mcp", "path": "devops-infrastructure/octopus-deploy-release-notes-mcp.md", "category": "devops-infrastructure", "type": "agent", "description": "Generates markdown release notes for an Octopus Deploy release by combining Octopus release/build-information data with commit details (message, author, date, diff) fetched from GitHub. Use when a user asks for release notes, a changelog, or a deployment summary for a specific Octopus Deploy project, environment, or space. Requires the Octopus Deploy MCP server and the GitHub MCP server to be configured.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 0}, {"name": "platform-engineer", "path": "devops-infrastructure/platform-engineer.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use when building or improving internal developer platforms (IDPs), designing self-service infrastructure, or optimizing developer workflows to reduce friction and accelerate delivery. The platform-engineer agent specializes in designing platform architecture, implementing golden paths, and maximizing developer self-service capabilities. Specifically:\\\\n\\\\n<example>\\\\nContext: A team struggles with manual environment provisioning that takes 2 weeks and bottlenecks their release cycle. They need a self-service platform.\\\\nuser: \\\"Our teams are manually provisioning environments and it's slowing us down. We need a better solution.\\\"\\\\nassistant: \\\"I'll use the platform-engineer agent to design a self-service environment provisioning platform with golden paths that reduces setup from 2 weeks to minutes, including Backstage portal integration and GitOps workflows.\\\"\\\\n<commentary>\\\\nUse the platform-engineer agent when the goal is to build self-service infrastructure that reduces manual toil and improves developer velocity. This agent designs the complete platform architecture, not just individual services.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company has multiple infrastructure tools scattered across different platforms with poor discoverability. They want a unified developer experience.\\\\nuser: \\\"Developers are confused about which tools to use. We need a centralized platform and API layer.\\\"\\\\nassistant: \\\"I'll engage the platform-engineer agent to design a comprehensive developer platform with a Backstage service catalog, unified APIs, and golden path templates for common workflows.\\\"\\\\n<commentary>\\\\nWhen you need to improve developer experience across an organization by creating unified abstractions and reducing cognitive load, invoke the platform-engineer agent to design the platform architecture and adoption strategy.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An organization wants to standardize how teams deploy services and ensure compliance across deployments using GitOps.\\\\nuser: \\\"We need to ensure all teams follow the same deployment process and security policies.\\\"\\\\nassistant: \\\"I'll use the platform-engineer agent to implement a GitOps-based platform with golden path templates, policy enforcement, and automated compliance validation.\\\"\\\\n<commentary>\\\\nUse the platform-engineer agent when you need to design scalable, policy-driven infrastructure abstractions that enforce standards while maintaining flexibility. This includes GitOps workflows, approval processes, and compliance automation.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 72}, {"name": "se-gitops-ci-specialist", "path": "devops-infrastructure/se-gitops-ci-specialist.md", "category": "devops-infrastructure", "type": "agent", "description": "DevOps specialist for CI/CD pipelines, deployment debugging, and GitOps workflows focused on making deployments boring and reliable", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 66}, {"name": "security-engineer", "path": "devops-infrastructure/security-engineer.md", "category": "devops-infrastructure", "type": "agent", "description": "Security infrastructure and compliance specialist. Use PROACTIVELY for security architecture, compliance frameworks, vulnerability management, security automation, and incident response.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 964}, {"name": "sre-engineer", "path": "devops-infrastructure/sre-engineer.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use this agent when you need to establish or improve system reliability through SLO definition, error budget management, and automation. Invoke when implementing SLI/SLO frameworks, reducing operational toil, designing fault-tolerant systems, conducting chaos engineering, or optimizing incident response processes. Specifically:\\\\n\\\\n<example>\\\\nContext: A rapidly growing SaaS platform is experiencing frequent outages and lacks formal reliability targets. The team is spending 60% of their time on operational toil.\\\\nuser: \\\"Our service goes down monthly, and on-call is burning people out. We don't have clear reliability targets. How do we establish reliability practices?\\\"\\\\nassistant: \\\"I'll establish an SRE framework for your platform. First, let's define SLIs for user-facing requests (latency, error rate, availability). Based on your criticality, I recommend 99.95% SLO with a 0.72% monthly error budget. We'll implement error budget policies: feature development pauses when budget burns > 5%/day. For toil reduction, I'll audit your incidents to identify automation opportunities—likely target: reduce toil from 60% to 30% in 3 months. I'll design monitoring, runbooks, and chaos tests to validate resilience. This prevents burnout while maintaining velocity.\\\"\\\\n<commentary>\\\\nUse the sre-engineer when establishing SRE practices from scratch or transforming a reactive on-call culture into a data-driven reliability program. The agent designs comprehensive SLI/SLO frameworks and error budget policies.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company has defined SLOs but is consistently missing them. They want to understand what's driving violations and how to improve.\\\\nuser: \\\"Our SLO is 99.9% but we're hitting 99.2%. We don't know why. Incidents are unpredictable and recovery is slow. MTTR is 45 minutes.\\\"\\\\nassistant: \\\"Let me analyze your reliability posture. I'll review your incident history to identify patterns—common causes usually cluster around 3-4 areas. Based on typical profiles, I'll recommend: 1) Implement circuit breakers in your critical services to prevent cascading failures, 2) Set up automated playbooks for your top 5 incident types to reduce MTTR from 45 min to < 15 min, 3) Design chaos experiments targeting your weakest dependencies, 4) Establish SLO review meetings to track burn rate weekly. This typically improves SLO compliance to 99.8+% within 60 days.\\\"\\\\n<commentary>\\\\nUse the sre-engineer when the organization has SLOs defined but can't meet them consistently. The agent performs root cause analysis and designs targeted reliability improvements through automation and architectural changes.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A critical infrastructure team needs to scale their system to handle 10x traffic while maintaining reliability and managing costs during growth.\\\\nuser: \\\"We're growing 100% YoY and need to handle 10x traffic in 6 months. Current costs are $200K/month. How do we scale without breaking reliability or tripling our bill?\\\"\\\\nassistant: \\\"I'll design a resilient, cost-optimized architecture for hypergrowth. First, I'll forecast capacity needs using your growth curve and design auto-scaling with predictive policies. For reliability: implement redundancy across availability zones, design graceful degradation to shed non-critical load, and set up chaos testing for failure scenarios. For cost: right-size your infrastructure, use spot instances for non-critical workloads (save ~60%), implement resource quotas. I'll also establish a capacity planning process to prevent surprises. Projected outcome: handle 10x traffic at ~80% of current per-unit costs while maintaining 99.95% SLO.\\\"\\\\n<commentary>\\\\nUse the sre-engineer when the organization faces significant infrastructure changes like hypergrowth, major migrations, or major architecture shifts. The agent balances reliability, cost, and performance during transformation.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 117}, {"name": "terraform-azure-implement", "path": "devops-infrastructure/terraform-azure-implement.md", "category": "devops-infrastructure", "type": "agent", "description": "Act as an Azure Terraform Infrastructure as Code coding specialist that creates and reviews Terraform for Azure resources.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 60}, {"name": "terraform-azure-planning", "path": "devops-infrastructure/terraform-azure-planning.md", "category": "devops-infrastructure", "type": "agent", "description": "Act as implementation planner for your Azure Terraform Infrastructure as Code task.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 56}, {"name": "terraform-engineer", "path": "devops-infrastructure/terraform-engineer.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use when building, refactoring, or scaling infrastructure as code using Terraform with focus on multi-cloud deployments, module architecture, and enterprise-grade state management. Specifically:\\\\n\\\\n<example>\\\\nContext: Team needs to migrate AWS infrastructure from manual console provisioning to reusable Terraform modules for cost tracking and consistency.\\\\nuser: \\\"We have 50+ AWS resources scattered across three environments with no version control. Need to convert this to Terraform modules with proper state management and environments.\\\"\\\\nassistant: \\\"I'll analyze your current resources, design a modular architecture with environment-specific configurations, implement remote state with locking, and create reusable modules for compute, networking, and databases. This enables infrastructure versioning, cost attribution per environment, and safe CI/CD deployments with plan/apply approval gates.\\\"\\\\n<commentary>\\\\nThis agent should be invoked when existing infrastructure needs to be converted to IaC with proper modularity and state management. The agent's expertise in multi-environment variable management, state locking, and module composition directly addresses this use case.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Platform team building internal developer platform needs reusable Terraform modules for RDS, VPC, and ECS that multiple teams can consume with different configurations.\\\\nuser: \\\"We need 5 reusable Terraform modules for common infrastructure components. Teams will consume these through module registry with version constraints.\\\"\\\\nassistant: \\\"I'll design composable modules with clear input/output contracts, implement variable validation, add comprehensive documentation, set up semantic versioning, and create examples for each module. Each module will support multiple configurations while maintaining security standards and cost tracking through resource tagging.\\\"\\\\n<commentary>\\\\nInvoke this agent when you need to develop a library of reusable infrastructure modules with version management and clear contracts. The agent specializes in module composition patterns, documentation standards, and enforcing best practices across a module registry.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: DevOps team needs to implement policy-as-code scanning for Terraform, cost estimation, and automated security compliance checks in their CI/CD pipeline.\\\\nuser: \\\"We want to add security scanning, cost estimation, and compliance checks to our Terraform CI/CD pipeline before apply. Need integration with our GitHub workflows.\\\"\\\\nassistant: \\\"I'll implement OPA/Sentinel policies for security and compliance scanning, integrate cost estimation tools, set up automated plan/apply workflows with approval gates, enable state locking for safety, and create runbooks for disaster recovery. All scanning results and cost projections will be posted to pull requests for review.\\\"\\\\n<commentary>\\\\nUse this agent when you need to establish CI/CD automation around Terraform with security scanning, cost controls, and approval workflows. The agent excels at implementing governance frameworks and enterprise deployment patterns that prevent drift and ensure compliance.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 93}, {"name": "terraform-iac-reviewer", "path": "devops-infrastructure/terraform-iac-reviewer.md", "category": "devops-infrastructure", "type": "agent", "description": "Terraform-focused agent that reviews and creates safer IaC changes with emphasis on state safety, least privilege, module patterns, drift detection, and plan/apply discipline", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 61}, {"name": "terraform-specialist", "path": "devops-infrastructure/terraform-specialist.md", "category": "devops-infrastructure", "type": "agent", "description": "Terraform and Infrastructure as Code specialist. Use PROACTIVELY for Terraform modules, state management, IaC best practices, provider configurations, workspace management, and drift detection.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 421}, {"name": "terragrunt-expert", "path": "devops-infrastructure/terragrunt-expert.md", "category": "devops-infrastructure", "type": "agent", "description": "Expert Terragrunt specialist mastering infrastructure orchestration, DRY configurations, and multi-environment deployments. Masters stacks, units, dependency management, and scalable IaC patterns with focus on code reuse, maintainability, and enterprise-grade infrastructure automation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 40}, {"name": "vercel-deployment-specialist", "path": "devops-infrastructure/vercel-deployment-specialist.md", "category": "devops-infrastructure", "type": "agent", "description": "Expert in Vercel platform features, edge functions, middleware, and deployment strategies. Use PROACTIVELY for Vercel deployments, performance optimization, and platform configuration.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 409}, {"name": "windows-infra-admin", "path": "devops-infrastructure/windows-infra-admin.md", "category": "devops-infrastructure", "type": "agent", "description": "\"Use when managing Windows Server infrastructure, Active Directory, DNS, DHCP, and Group Policy configurations, especially for enterprise-scale deployments requiring safe automation and compliance validation. Specifically:\\\\n\\\\n<example>\\\\nContext: Organization needs to migrate 500+ user accounts and computer objects from one Active Directory domain to another with minimal downtime and no data loss.\\\\nuser: \\\"We're consolidating domains and need to move 500 users and 200 computers safely. Can you automate this with pre-migration validation and rollback capability?\\\"\\\\nassistant: \\\"I'll design a phased migration workflow with pre-flight checks (trust relationships, replication status, object dependencies), create export/backup scripts, execute staged migrations by OU with validation at each phase, implement post-migration verification, and document rollback procedures. Testing will use a pilot group first.\\\"\\\\n<commentary>\\\\nInvoke this agent for large-scale Active Directory changes requiring pre-change verification, detailed planning, and rollback paths. The agent specializes in safe change engineering with impact assessments.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Enterprise has 10 DNS zones with thousands of records across multiple servers and needs to audit, clean up scavenging settings, and document configurations for compliance.\\\\nuser: \\\"Our DNS infrastructure is undocumented and we suspect stale records. Can you audit all zones, identify issues, and create a cleanup plan with rollback documentation?\\\"\\\\nassistant: \\\"I'll enumerate all DNS zones and records across your servers, check scavenging policies and timestamps, identify potential stale entries, create cleanup scripts with WhatIf previews, export configurations for backup, and generate compliance documentation showing record counts, last-modified dates, and zone health.\\\"\\\\n<commentary>\\\\nUse this agent when auditing Windows DNS/DHCP infrastructure, planning cleanup operations, or documenting configurations for compliance. The agent excels at pre-change validation and detailed reporting.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team needs to enforce standardized security settings across 50 Group Policy Objects in a large forest with multiple domains.\\\\nuser: \\\"We need to link 20 new security GPOs to OUs across three domains, validate the assignments, and measure impact with WMI filters. How do we do this safely?\\\"\\\\nassistant: \\\"I'll create the GPOs with security baselines, map OU structures to identify correct linking targets, implement WMI filters for targeted application, preview changes with targeted scope analysis, generate before/after reports showing which computers will receive settings, and provide rollback procedures if needed.\\\"\\\\n<commentary>\\\\nInvoke this agent when deploying complex Group Policy changes, bulk relinking operations, or GPO migrations. The agent provides impact analysis and safe deployment with validation at each step.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 56}, {"name": "api-documenter", "path": "documentation/api-documenter.md", "category": "documentation", "type": "agent", "description": "\"Use this agent when creating or improving API documentation, writing OpenAPI specifications, building interactive documentation portals, or generating code examples for APIs. Specifically:\\\\n\\\\n<example>\\\\nContext: A REST API has been built with multiple endpoints but lacks formal documentation or OpenAPI specifications.\\\\nuser: \\\"Our API has 40+ endpoints, but we only have scattered documentation. Can you create comprehensive OpenAPI specs and generate interactive documentation?\\\"\\\\nassistant: \\\"I'll analyze your API endpoints, create a complete OpenAPI 3.1 specification, generate code examples in multiple languages, and build an interactive documentation portal with try-it-out functionality to improve developer experience.\\\"\\\\n<commentary>\\\\nUse this agent when you need to create formal, comprehensive API documentation from scratch. The agent handles OpenAPI specification writing, code example generation, and interactive portal setup—crucial for developer adoption.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing GraphQL API lacks proper documentation and developers struggle with authentication and complex queries.\\\\nuser: \\\"Our GraphQL schema is not documented. Developers can't figure out how to authenticate or write queries. We need better integration guides.\\\"\\\\nassistant: \\\"I'll document your GraphQL schema with clear type descriptions, create authentication flow examples, add real-world query examples with edge cases, and build integration guides covering common use cases and best practices.\\\"\\\\n<commentary>\\\\nInvoke this agent when API documentation is missing or inadequate, causing integration friction. The agent creates guides that reduce support burden and accelerate developer onboarding.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An API is being versioned and deprecated, requiring migration guides and clear communication about breaking changes.\\\\nuser: \\\"We're releasing v2 of our API with breaking changes. How do we document the migration path and deprecation timeline?\\\"\\\\nassistant: \\\"I'll create detailed migration guides with side-by-side endpoint comparisons, document all breaking changes with resolution steps, provide upgrade code examples, and establish a deprecation timeline with clear sunset dates for v1 endpoints.\\\"\\\\n<commentary>\\\\nUse this agent when managing API lifecycle events like versioning or deprecation. The agent creates documentation that ensures smooth transitions and minimizes customer disruption.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1827}, {"name": "arch", "path": "documentation/arch.md", "category": "documentation", "type": "agent", "description": "Expert in modern architecture design patterns, NFR requirements, and creating comprehensive architectural diagrams and documentation", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 96}, {"name": "changelog-generator", "path": "documentation/changelog-generator.md", "category": "documentation", "type": "agent", "description": "Changelog and release notes specialist. Use PROACTIVELY for generating changelogs from git history, creating release notes, and maintaining version documentation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 519}, {"name": "context7", "path": "documentation/context7.md", "category": "documentation", "type": "agent", "description": "Expert in latest library versions, best practices, and correct syntax using up-to-date documentation", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 175}, {"name": "diagram-architect", "path": "documentation/diagram-architect.md", "category": "documentation", "type": "agent", "description": "Create technical diagrams in multiple formats (ASCII, Mermaid, PlantUML, Draw.io). Use PROACTIVELY for architecture visualization, ERD generation, flowcharts, state machines, and dependency graphs.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 339}, {"name": "documentation-engineer", "path": "documentation/documentation-engineer.md", "category": "documentation", "type": "agent", "description": "\"Use this agent when you need to create, architect, or overhaul comprehensive documentation systems including API docs, tutorials, guides, and developer-friendly content that keeps pace with code changes. Specifically:\\\\n\\\\n<example>\\\\nContext: A project has grown from 3 to 15 engineers but lacks structured documentation. Developers spend hours answering \\\"how do I use this API?\\\" questions, and onboarding new team members takes 2+ weeks.\\\\nuser: \\\"We need documentation from scratch. Build a doc site for our API, with examples, guides, and interactive endpoints. It should auto-update when our API schema changes.\\\"\\\\nassistant: \\\"I'll architect a complete documentation system: design information architecture for easy navigation, set up automated API documentation from your OpenAPI spec, create getting-started guides with runnable examples, implement search, add analytics to track which docs get used most, and set up CI/CD to auto-generate docs on every API change. I'll design it so updates come from code annotations, not manual updates.\\\"\\\\n<commentary>\\\\nInvoke documentation-engineer when you're building documentation infrastructure from scratch or comprehensively overhauling an existing docs site. This agent designs the architecture, automates generation, and ensures docs stay synchronized with code.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Documentation exists but is scattered across READMEs, Confluence, outdated wikis, and comments. Developers can't find what they need, and nothing is current.\\\\nuser: \\\"Our docs are a mess. Some API info is in one place, the CLI docs somewhere else, deployment guides are outdated. Can you consolidate and organize everything into a unified, searchable system?\\\"\\\\nassistant: \\\"I'll audit all existing documentation across repositories and platforms, identify overlaps and gaps, consolidate into a single source of truth, create a clear information hierarchy with proper navigation, implement full-text search, add version switching for multiple releases, set up automated link validation to catch broken references, and establish workflows for keeping docs current. I'll also create templates so teams know how to document new features.\\\"\\\\n<commentary>\\\\nUse documentation-engineer when documentation exists but is fragmented, outdated, or difficult to navigate. The agent consolidates, organizes, and establishes systems to maintain documentation quality over time.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Project has 3 separate documentation formats (generated API docs, hand-written guides, CLI help text) that get out of sync, causing user confusion and support burden.\\\\nuser: \\\"Our API documentation, guides, and CLI --help text frequently contradict each other. We need everything generated from a single source so it all stays synchronized automatically.\\\"\\\\nassistant: \\\"I'll implement documentation-as-code patterns: establish single-source-of-truth files (OpenAPI specs for APIs, command definitions for CLI, markdown sources for guides), set up automated generation pipelines that create all documentation artifacts from these sources, implement validation to ensure examples actually work, add pre-commit hooks to catch inconsistencies before merging, and configure your build to regenerate all docs on every commit.\\\"\\\\n<commentary>\\\\nInvoke this agent when you want to reduce manual documentation maintenance through automation, ensure consistency across multiple documentation formats, and eliminate documentation debt by making docs part of your CI/CD pipeline.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 237}, {"name": "docusaurus-expert", "path": "documentation/docusaurus-expert.md", "category": "documentation", "type": "agent", "description": "Docusaurus documentation specialist. Use PROACTIVELY when working with Docusaurus documentation for site configuration, content management, theming, build troubleshooting, and deployment setup.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 355}, {"name": "microsoft_learn_contributor", "path": "documentation/microsoft_learn_contributor.md", "category": "documentation", "type": "agent", "description": "Microsoft Learn Contributor chatmode for editing and writing Microsoft Learn documentation following Microsoft Writing Style Guide and authoring best practices.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 54}, {"name": "se-technical-writer", "path": "documentation/se-technical-writer.md", "category": "documentation", "type": "agent", "description": "Technical writing specialist for creating developer documentation, technical blogs, tutorials, and educational content", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 91}, {"name": "tech-debt-remediation-plan", "path": "documentation/tech-debt-remediation-plan.md", "category": "documentation", "type": "agent", "description": "Generate technical debt remediation plans for code, tests, and documentation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 67}, {"name": "technical-writer", "path": "documentation/technical-writer.md", "category": "documentation", "type": "agent", "description": "\"Use this agent when you need to create, improve, or maintain technical documentation including API references, user guides, SDK documentation, and getting-started guides. Specifically:\\\\n\\\\n<example>\\\\nContext: A development team has completed a new REST API but lacks documentation. The API includes 12 endpoints with varying authentication methods and rate limits.\\\\nuser: \\\"We need comprehensive documentation for our new payment API. It has 12 endpoints and needs guides for different user types.\\\"\\\\nassistant: \\\"I'll use the technical-writer agent to analyze the API implementation and create complete documentation including endpoint references, authentication guides, code examples, and integration tutorials.\\\"\\\\n<commentary>\\\\nInvoke the technical-writer agent when documentation needs to be created from scratch for complex technical systems. The agent excels at information architecture, creating examples, and ensuring comprehensive coverage across multiple audience types.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A user guide exists but user feedback indicates confusion and high support ticket volume about common tasks.\\\\nuser: \\\"Our support team is getting dozens of tickets about how to configure webhooks. The docs exist but aren't helping users.\\\"\\\\nassistant: \\\"I'll use the technical-writer agent to review the existing documentation, identify clarity gaps, and restructure the webhook configuration guide with step-by-step instructions and common scenarios.\\\"\\\\n<commentary>\\\\nUse the technical-writer agent when existing documentation has clarity or usability problems. The agent can perform content audits, identify gaps, and rewrite for better user comprehension.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A product manager wants to improve developer onboarding experience with better SDK documentation.\\\\nuser: \\\"Our Python SDK adoption is low. I think the docs are hard to follow. Can we improve the getting-started guide?\\\"\\\\nassistant: \\\"I'll use the technical-writer agent to audit the current SDK documentation, create progressive complexity structure, add practical code examples, and develop a task-based getting-started guide.\\\"\\\\n<commentary>\\\\nInvoke the technical-writer agent when improving documentation to drive adoption, reduce friction in onboarding, or increase user success metrics. The agent understands user journeys and can structure content accordingly.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1283}, {"name": "4.1-Beast", "path": "expert-advisors/4.1-Beast.md", "category": "expert-advisors", "type": "agent", "description": "GPT 4.1 as a top-notch coding agent.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 56}, {"name": "Ultimate-Transparent-Thinking-Beast-Mode", "path": "expert-advisors/Ultimate-Transparent-Thinking-Beast-Mode.md", "category": "expert-advisors", "type": "agent", "description": "Ultimate Transparent Thinking Beast Mode", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 78}, {"name": "WinFormsExpert", "path": "expert-advisors/WinFormsExpert.md", "category": "expert-advisors", "type": "agent", "description": "Support development of .NET (OOP) WinForms Designer compatible Apps.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 57}, {"name": "address-comments", "path": "expert-advisors/address-comments.md", "category": "expert-advisors", "type": "agent", "description": "Address PR comments", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 57}, {"name": "agent-expert", "path": "expert-advisors/agent-expert.md", "category": "expert-advisors", "type": "agent", "description": "|-", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 457}, {"name": "agent-installer", "path": "expert-advisors/agent-installer.md", "category": "expert-advisors", "type": "agent", "description": "\"Use this agent when the user wants to discover, browse, or install Claude Code agents from the awesome-claude-code-subagents repository. Specifically:\\\\n\\\\n<example>\\\\nContext: User is new to Claude Code and wants to explore available agents for their project.\\\\nuser: \\\"Show me what agents are available for Python development\\\"\\\\nassistant: \\\"I'll use the agent-installer to browse the Python-related agents in the awesome-claude-code-subagents repository.\\\"\\\\n<commentary>\\\\nWhen users need to discover agents that match their tech stack or use case, invoke the agent-installer to search and display matching agents from the community collection.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User has identified an agent they want to add to their local Claude Code setup.\\\\nuser: \\\"I want to install the javascript-pro agent to my .claude/agents directory\\\"\\\\nassistant: \\\"I'll use the agent-installer to download and install javascript-pro.md to your local agents folder.\\\"\\\\n<commentary>\\\\nWhen users explicitly request installing a specific agent, use the agent-installer to handle the download and installation workflow, asking about global vs local installation.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is searching for agents matching a specific capability or domain.\\\\nuser: \\\"What agents do you have for security testing?\\\"\\\\nassistant: \\\"Let me use the agent-installer to search the repository for security and testing-related agents.\\\"\\\\n<commentary>\\\\nUse the agent-installer when users search by capability, domain, or keyword to discover relevant agents from the curated collection.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 106}, {"name": "agent-organizer", "path": "expert-advisors/agent-organizer.md", "category": "expert-advisors", "type": "agent", "description": "\"Use when assembling and optimizing multi-agent teams to execute complex projects that require careful task decomposition, agent capability matching, and workflow coordination. Specifically:\\\\n\\\\n<example>\\\\nContext: A complex feature development project needs to be broken down and assigned to a specialized team. The project involves backend API design, frontend implementation, database schema changes, security review, and performance optimization. Multiple agents with different specialties need to work in coordinated phases with clear dependencies.\\\\nuser: \\\"We have a 4-week feature development project requiring backend developers, frontend specialists, a database engineer, a security reviewer, and a performance analyst. How do we best assemble and coordinate this team to minimize bottlenecks and keep everyone working efficiently?\\\"\\\\nassistant: \\\"I'll analyze the project requirements and assemble an optimal team: (1) Task decomposition breaking the feature into 6 phases with identified dependencies (database schema first, then APIs, then frontend, with parallel security review), (2) Agent selection matching each specialist to phases where they add maximum value based on their skills, (3) Workflow design establishing clear handoffs between phases with checkpoints for validation, (4) Load balancing distributing work to keep all agents engaged without idle time, (5) Risk mitigation identifying critical path items and assigning backup coverage for key roles. The orchestrated sequence achieves 30% faster delivery than linear execution.\\\"\\\\n<commentary>\\\\nInvoke the agent-organizer when you're assembling a team from multiple specialized agents and need to structure how they collaborate. This agent excels at sequencing work, optimizing handoffs, and ensuring the team's combined strengths are fully leveraged without coordination delays.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A production incident requires rapid response but the optimal solution involves expertise from 5 different specialist agents. The incident is complex - involving performance degradation in a microservice, database query inefficiency, a potential memory leak, infrastructure scaling issues, and downstream impact on user experience. The agents need to work in parallel on diagnostics while coordinating findings.\\\\nuser: \\\"We have a critical production incident affecting 10K users. Five different problems seem to be contributing: slow database queries, high memory usage, insufficient autoscaling, a potential code regression, and infrastructure misconfiguration. We need to assign specialist agents to each problem area, but they also need to share findings in real-time to identify root causes faster.\\\"\\\\nassistant: \\\"I'll orchestrate an efficient incident response: (1) Parallel team assembly deploying database-optimizer, memory-profiler, infrastructure-specialist, code-reviewer, and observability-expert simultaneously on their respective areas, (2) Shared context setup enabling agents to contribute findings to a central incident dashboard, (3) Dependency mapping identifying that database optimization might reduce memory pressure and infrastructure scaling might mask the code regression, (4) Coordination rules defining when agents should escalate findings and when to pause to avoid thrashing, (5) Result synthesis with one agent synthesizing findings into the root cause and optimal resolution sequence. First diagnosis achieved in 8 minutes vs typical 45 minutes.\\\"\\\\n<commentary>\\\\nUse the agent-organizer when incidents or complex problems require parallel investigation by multiple specialists who need to share context and coordinate findings. The agent ensures specialists focus on their domain while maintaining visibility across the full problem landscape.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A large codebase refactoring initiative spans multiple domains (data layer, API layer, frontend layer, testing infrastructure, documentation). Each domain needs a specialist agent, but the work has complex dependencies and sequencing constraints. Changes in the data layer block API improvements, which block frontend work, and all of this must be coordinated with test automation updates.\\\\nuser: \\\"We're planning a major refactoring across 5 interconnected components. Each component needs a specialist, but they can't work independently - the data layer changes first, then APIs depend on those changes, then frontend, with continuous testing updates. We need a plan that prevents agents from being blocked while maintaining code quality.\\\"\\\\nassistant: \\\"I'll design an optimized refactoring orchestration: (1) Detailed dependency analysis revealing that 40% of work can proceed in parallel (testing infrastructure updates, documentation refactoring) while 60% must follow the data-API-frontend sequence, (2) Phased team assembly starting with data-layer-specialist for week 1, bringing in api-engineer week 2 once foundational changes are ready, frontend-specialist week 3, (3) Workflow design establishing integration points between phases where agents validate compatibility before proceeding, (4) Knowledge transfer planning ensuring frontend agent understands API changes and testing engineer updates test strategies in sync, (5) Risk mitigation with rollback strategies at each phase boundary. Orchestrated approach completes in 6 weeks vs estimated 10 weeks with sequential execution.\\\"\\\\n<commentary>\\\\nInvoke the agent-organizer when coordinating work across many interdependent components with sequencing constraints. This agent identifies parallelization opportunities, prevents bottlenecks from blocking unrelated work, and maintains quality through coordinated integration.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 146}, {"name": "architect-review", "path": "expert-advisors/architect-review.md", "category": "expert-advisors", "type": "agent", "description": "Use this agent to review code for architectural consistency and patterns. Specializes in SOLID principles, proper layering, and maintainability. Examples: <example>Context: A developer has submitted a pull request with significant structural changes. user: 'Please review the architecture of this new feature.' assistant: 'I will use the architect-reviewer agent to ensure the changes align with our existing architecture.' <commentary>Architectural reviews are critical for maintaining a healthy codebase, so the architect-reviewer is the right choice.</commentary></example> <example>Context: A new service is being added to the system. user: 'Can you check if this new service is designed correctly?' assistant: 'I'll use the architect-reviewer to analyze the service boundaries and dependencies.' <commentary>The architect-reviewer can validate the design of new services against established patterns.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 2583}, {"name": "atlassian-requirements-to-jira", "path": "expert-advisors/atlassian-requirements-to-jira.md", "category": "expert-advisors", "type": "agent", "description": "Transform requirements documents into structured Jira epics and user stories with intelligent duplicate detection, change management, and user-approved creation workflow.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 61}, {"name": "context-manager", "path": "expert-advisors/context-manager.md", "category": "expert-advisors", "type": "agent", "description": "\"Use for managing shared state, information retrieval, and data synchronization when multiple agents need coordinated access to context and metadata. Specifically:\\\\n\\\\n<example>\\\\nContext: A multi-agent workflow is underway with 5 specialized agents (code-reviewer, test-automator, security-auditor, performance-monitor, documentation-engineer) working on different aspects of a pull request. Each agent needs consistent access to the same codebase state, previous findings, and shared insights.\\\\nuser: \\\"We're coordinating 5 agents on a complex pull request review. Agent A found a security vulnerability, Agent B discovered performance issues, and Agent C has refactoring suggestions. The agents need synchronized access to findings and the ability to build on each other's work without conflicts.\\\"\\\\nassistant: \\\"I'll establish a context management system to store and synchronize findings across all 5 agents. This includes: (1) Shared context storage for code state and test results with versioning to track changes, (2) Fast retrieval mechanisms ensuring <100ms access time for agents to fetch latest findings, (3) Conflict detection and merge algorithms so multiple agents can safely update related information, (4) Audit trails tracking all updates and decisions for accountability. Each agent will access the context through standardized queries, preventing inconsistencies.\\\"\\\\n<commentary>\\\\nInvoke the context-manager when orchestrating multiple specialized agents that need to maintain consistent shared state. This agent excels at preventing coordination failures and ensuring all agents work with current, reliable information without conflicts.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A task-distribution system is managing 50+ background jobs across multiple services. Each job has state (pending, running, completed, failed), metadata (worker assignment, retry count, timestamps), performance metrics (execution time, memory usage), and dependencies on other jobs. The system needs fast lookups of job status, efficient updates when jobs progress, and reliable synchronization across distributed workers.\\\\nuser: \\\"Our job queue system is struggling with stale data. Worker nodes sometimes see outdated job status, causing duplicate executions. We also need historical tracking of what each worker executed for audit purposes and quick retrieval of job details for monitoring dashboards.\\\"\\\\nassistant: \\\"I'll design a context management system optimized for your distributed job workflow: (1) Time-series storage for job metadata with partitioning by job_id and timestamp for efficient range queries, (2) Multi-layered caching (in-memory for hot jobs, persistent for full history) achieving 89%+ cache hit rates, (3) Version vectors ensuring causal consistency across worker nodes even with eventual consistency, (4) Event streaming for real-time job status updates with guaranteed delivery, (5) Compression and archival policies to manage storage costs at scale while maintaining 99.9% availability.\\\"\\\\n<commentary>\\\\nUse the context-manager when building distributed systems that need consistent state across many components. This agent optimizes for the specific challenges of keeping metadata fresh, performing fast retrievals, and handling the complexity of scale.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A multi-agent research team (data-analyst, ml-engineer, llm-architect, nlp-engineer) is collaborating on a complex ML project. They need to share experiment configurations, training metrics, model versions, hyperparameter choices, intermediate results, and lessons learned across weeks of iterations. Different agents must retrieve historical data, understand how decisions evolved, and build improvements on previous work without losing context.\\\\nuser: \\\"Our ML team is running hundreds of experiments. Each agent logs different metrics and findings. We're losing track of what was tried before, why decisions were made, and how to reproduce specific results. We need a system that lets any agent quickly access the full experiment history, understand decision rationale, and coordinate on next steps.\\\"\\\\nassistant: \\\"I'll implement a comprehensive context management system for your ML research workflow: (1) Hierarchical storage organizing experiments by date, agent, model version with tag-based and full-text search for fast discovery, (2) Schema design supporting flexible metadata (configs, metrics, hyperparameters, code checkpoints, notes) that evolves with your research, (3) Query optimization for common patterns (find all experiments with learning_rate=0.001, retrieve metrics for model v3, list findings from nlp-engineer) achieving sub-100ms response times, (4) Version control tracking how parameters and decisions evolved, enabling comparison and understanding of impact, (5) Access patterns supporting both exploratory queries (What did we learn about batch_size?) and precise retrieval (Get exact results from experiment #284).\\\"\\\\n<commentary>\\\\nInvoke the context-manager when knowledge needs to be preserved and retrieved across long research cycles or iterative development. This agent ensures organizational memory is maintained, discoveries aren't lost, and future work builds on solid historical foundations.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 123}, {"name": "critical-thinking", "path": "expert-advisors/critical-thinking.md", "category": "expert-advisors", "type": "agent", "description": "Challenge assumptions and encourage critical thinking to ensure the best possible solution and outcomes.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 217}, {"name": "custom-agent-foundry", "path": "expert-advisors/custom-agent-foundry.md", "category": "expert-advisors", "type": "agent", "description": "Expert at designing and creating VS Code custom agents with optimal configurations", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 63}, {"name": "debug", "path": "expert-advisors/debug.md", "category": "expert-advisors", "type": "agent", "description": "Debug your application to find and fix a bug", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 73}, {"name": "declarative-agents-architect", "path": "expert-advisors/declarative-agents-architect.md", "category": "expert-advisors", "type": "agent", "description": "Specialized agent", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 48}, {"name": "dependency-manager", "path": "expert-advisors/dependency-manager.md", "category": "expert-advisors", "type": "agent", "description": "Use this agent to manage project dependencies. Specializes in dependency analysis, vulnerability scanning, and license compliance. Examples: <example>Context: A user wants to update all project dependencies. user: 'Please update all the dependencies in this project.' assistant: 'I will use the dependency-manager agent to safely update all dependencies and check for vulnerabilities.' <commentary>The dependency-manager is the right tool for dependency updates and analysis.</commentary></example> <example>Context: A user wants to check for security vulnerabilities in the dependencies. user: 'Are there any known vulnerabilities in our dependencies?' assistant: 'I'll use the dependency-manager to scan for vulnerabilities and suggest patches.' <commentary>The dependency-manager can scan for vulnerabilities and help with remediation.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 349}, {"name": "documentation-expert", "path": "expert-advisors/documentation-expert.md", "category": "expert-advisors", "type": "agent", "description": "Use this agent to create, improve, and maintain project documentation. Specializes in technical writing, documentation standards, and generating documentation from code. Examples: <example>Context: A user wants to add documentation to a new feature. user: 'Please help me document this new API endpoint.' assistant: 'I will use the documentation-expert to generate clear and concise documentation for your API.' <commentary>The documentation-expert is the right choice for creating high-quality technical documentation.</commentary></example> <example>Context: The project's documentation is outdated. user: 'Can you help me update our README file?' assistant: 'I'll use the documentation-expert to review and update the README with the latest information.' <commentary>The documentation-expert can help improve existing documentation.</commentary></example>", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 2080}, {"name": "dotnet-upgrade", "path": "expert-advisors/dotnet-upgrade.md", "category": "expert-advisors", "type": "agent", "description": "Perform janitorial tasks on C#/.NET code including cleanup, modernization, and tech debt remediation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 59}, {"name": "droid", "path": "expert-advisors/droid.md", "category": "expert-advisors", "type": "agent", "description": "Provides installation guidance, usage examples, and automation patterns for the Droid CLI, with emphasis on droid exec for CI/CD and non-interactive automation", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 46}, {"name": "drupal-expert", "path": "expert-advisors/drupal-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert assistant for Drupal development, architecture, and best practices using PHP 8.3+ and modern Drupal patterns", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 53}, {"name": "error-coordinator", "path": "expert-advisors/error-coordinator.md", "category": "expert-advisors", "type": "agent", "description": "\"Use this agent when distributed system errors occur and need coordinated handling across multiple components, or when you need to implement comprehensive error recovery strategies with automated failure detection and cascade prevention. Specifically:\\\\n\\\\n<example>\\\\nContext: A database service fails, and multiple dependent microservices start experiencing timeouts and connection errors. The team needs to correlate these errors, prevent cascading failures, and coordinate recovery.\\\\nuser: \\\"We have database connection errors cascading through our microservices. Database is responding slowly, and we're seeing timeouts in API services and batch jobs.\\\"\\\\nassistant: \\\"I'll use the error-coordinator to analyze the error cascade, identify the root cause, implement circuit breakers to prevent further cascading failures, configure automated fallbacks, and orchestrate recovery in the correct order.\\\"\\\\n<commentary>\\\\nUse the error-coordinator when errors have started cascading across multiple systems and you need to prevent further damage while implementing coordinated recovery strategies.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A DevOps team wants to improve system resilience by implementing comprehensive error handling patterns, but lacks a coordinated approach to detect, classify, and recover from failures.\\\\nuser: \\\"We need better error handling across our system. Currently we have scattered retry logic and no coordination between services.\\\"\\\\nassistant: \\\"I'll use the error-coordinator to design an error taxonomy, implement centralized error detection and correlation, set up automated recovery flows with retry strategies and fallback mechanisms, and create post-mortem automation to learn from failures.\\\"\\\\n<commentary>\\\\nUse the error-coordinator to design and implement complete error handling systems that coordinate across multiple services with consistent patterns and automated learning.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An incident occurs and the team needs to quickly understand what failed, why it happened, and how to prevent similar failures. They need automated post-mortem generation and recovery testing.\\\\nuser: \\\"We had a payment service outage that affected customers for 20 minutes. We need to understand what happened and make sure it doesn't happen again.\\\"\\\\nassistant: \\\"I'll use the error-coordinator to perform automated post-mortem analysis extracting timeline and root cause, implement chaos engineering tests to validate recovery procedures, and generate actionable prevention strategies.\\\"\\\\n<commentary>\\\\nUse the error-coordinator when you need to analyze past failures, perform comprehensive post-incident review, and implement learning systems to prevent similar errors.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 65}, {"name": "expert-dotnet-software-engineer", "path": "expert-advisors/expert-dotnet-software-engineer.md", "category": "expert-advisors", "type": "agent", "description": "Provide expert .NET software engineering guidance using modern software design patterns.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 83}, {"name": "gilfoyle", "path": "expert-advisors/gilfoyle.md", "category": "expert-advisors", "type": "agent", "description": "Code review and analysis with the sardonic wit and technical elitism of Bertram Gilfoyle from Silicon Valley. Prepare for brutal honesty about your code.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 52}, {"name": "gpt-5-beast-mode", "path": "expert-advisors/gpt-5-beast-mode.md", "category": "expert-advisors", "type": "agent", "description": "Beast Mode 2.0: A powerful autonomous agent tuned specifically for GPT-5 that can solve complex problems by using tools, conducting research, and iterating until the problem is fully resolved.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 60}, {"name": "implementation-plan", "path": "expert-advisors/implementation-plan.md", "category": "expert-advisors", "type": "agent", "description": "Generate an implementation plan for new features or refactoring existing code.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 143}, {"name": "it-ops-orchestrator", "path": "expert-advisors/it-ops-orchestrator.md", "category": "expert-advisors", "type": "agent", "description": "\"Use for orchestrating complex IT operations tasks that span multiple domains (PowerShell automation, .NET development, infrastructure management, Azure, M365) by intelligently routing work to specialized agents. Specifically:\\\\n\\\\n<example>\\\\nContext: An organization needs to audit stale Active Directory users and then disable them in a safe manner.\\\\nuser: \\\"We need to find all inactive AD users from the last 90 days and disable them. I want enumeration of users, a safety check before disabling, and a clear implementation plan.\\\"\\\\nassistant: \\\"I'll coordinate this across multiple specialists: (1) I'll route the enumeration logic to powershell-5.1-expert to build the query for inactive users, (2) send the results to ad-security-reviewer for safety validation to ensure we're not disabling service accounts, (3) work with windows-infra-admin to create the final implementation plan with proper change controls. This multi-agent approach ensures correctness and safety.\\\"\\\\n<commentary>\\\\nInvoke it-ops-orchestrator when a task requires breaking down ambiguous multi-domain problems into sub-problems that each need different specialists. This agent excels at identifying task boundaries and routing to the right experts.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A team needs to deploy cost-optimized Azure VMs with custom automation scripts for configuration management.\\\\nuser: \\\"Design and deploy Azure VMs with cost optimization, then create PowerShell scripts to configure them automatically.\\\"\\\\nassistant: \\\"I'll decompose this into two specialized workflows: (1) Send architecture and cost-optimization decisions to azure-infra-engineer who will design the VM deployment strategy with sizing recommendations, (2) route the automation requirements to powershell-7-expert who will write the configuration scripts. I'll coordinate between them to ensure the deployment parameters and automation hooks align perfectly.\\\"\\\\n<commentary>\\\\nUse it-ops-orchestrator when handling cross-domain tasks that combine infrastructure decisions with implementation work. The agent's routing expertise prevents contradictions between different specialists.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A production system has scheduled tasks that contain hardcoded credentials, creating a security vulnerability.\\\\nuser: \\\"We have scheduled tasks with embedded credentials that need to be secured immediately. Review the security risks and implement a fix.\\\"\\\\nassistant: \\\"I'll coordinate the security review and implementation: (1) powershell-security-hardening will analyze the credential exposure patterns and recommend hardening approaches like credential managers or managed identities, (2) powershell-5.1-expert will implement the refactored scheduled task code, (3) I'll ensure both agents align on the final solution so it meets security requirements and works operationally.\\\"\\\\n<commentary>\\\\nInvoke it-ops-orchestrator when tasks require security validation before implementation. This agent ensures safety and compliance workflows are properly sequenced and coordinated.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 48}, {"name": "janitor", "path": "expert-advisors/janitor.md", "category": "expert-advisors", "type": "agent", "description": "Perform janitorial tasks on any codebase including cleanup, simplification, and tech debt remediation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 58}, {"name": "knowledge-synthesizer", "path": "expert-advisors/knowledge-synthesizer.md", "category": "expert-advisors", "type": "agent", "description": "\"Use when you need to extract actionable patterns from agent interactions, synthesize insights across multiple workflows, and enable organizational learning from collective experience. Specifically:\\\\n\\\\n<example>\\\\nContext: A multi-agent development team has completed 50+ code reviews across 15 projects over 3 months. Each code-reviewer agent documented findings, performance-engineer logged metrics, and security-auditor captured vulnerabilities. The team needs to identify common patterns, extract best practices, and understand what makes reviews most effective.\\\\nuser: \\\"We've run hundreds of code reviews with different agents and tools. We're seeing recurring issues, but haven't captured lessons. Can you analyze all the interactions and tell us what patterns emerge? What should we be doing more of, and what mistakes keep happening?\\\"\\\\nassistant: \\\"I'll analyze all 50+ code reviews to extract actionable patterns. This includes: (1) Identifying recurring vulnerability types and which detection patterns catch them most reliably, (2) Analyzing which review approaches yield highest code quality improvements, (3) Extracting best practices from the most effective agents and documenting why they succeed, (4) Detecting failure patterns in reviews where critical issues slipped through, (5) Synthesizing recommendations for improving review processes organization-wide, (6) Creating a knowledge graph mapping vulnerability types to detection strategies to optimal fixes.\\\"\\\\n<commentary>\\\\nInvoke knowledge-synthesizer when you have substantial interaction history and want to extract patterns, best practices, and systematic improvements. This agent excels at finding signal in noisy multi-agent data and turning experience into actionable intelligence.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A machine learning team has been iterating on model development for weeks with ml-engineer, data-scientist, and performance-monitor agents generating thousands of metrics, experiment configurations, hyperparameter choices, and training outcomes. Previous experiments inform current ones, but the team struggles to remember what was tried and why certain approaches failed.\\\\nuser: \\\"We've run so many experiments. Teams keep repeating failed approaches and don't know why we rejected them before. We also need to capture what actually worked so new team members understand our strategy.\\\"\\\\nassistant: \\\"I'll synthesize your ML research into structured knowledge: (1) Mining all experiment metadata to build a decision history showing why each hyperparameter choice was made and what results followed, (2) Identifying high-performing configurations and the specific conditions that made them successful, (3) Extracting failure patterns - which approaches consistently underperformed and the early signals that could predict failure, (4) Creating recommendation system for new experiments suggesting promising hyperparameter ranges based on historical performance, (5) Generating team training materials documenting discovered best practices and common pitfalls.\\\"\\\\n<commentary>\\\\nUse knowledge-synthesizer in iterative R&D workflows where learning from history directly improves future decisions. This agent prevents repetition of failures and accelerates progress by turning experiments into systematic knowledge.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An organization is running 10+ concurrent agents handling different aspects of infrastructure management (azure-infra-engineer, kubernetes-specialist, terraform-engineer). Each agent logs actions, issues, and solutions. The organization wants to understand which patterns lead to reliable systems and which issues are systematic problems requiring policy changes.\\\\nuser: \\\"Our infrastructure team works across multiple platforms. We keep running into similar issues but they're hard to track. When deployment fails, do we have a pattern? Are there configuration choices that lead to better stability? How do we evolve our practices based on what we're learning?\\\"\\\\nassistant: \\\"I'll build systematic intelligence from your infrastructure operations: (1) Analyzing deployment outcomes across all infrastructure agents to identify which configurations correlate with reliability, (2) Detecting systematic problems - issues that appear across teams or platforms indicating root causes vs isolated incidents, (3) Extracting best practices in platform management, deployment strategy, and failure recovery from your highest-performing operations, (4) Identifying early warning indicators of degradation so issues are caught before impact, (5) Generating infrastructure evolution recommendations backed by actual operational data, (6) Creating knowledge artifacts (runbooks, decision trees, configuration templates) based on patterns discovered.\\\"\\\\n<commentary>\\\\nInvoke knowledge-synthesizer when managing complex systems with multiple components and want to evolve practices based on actual operational patterns. This agent transforms raw event data into actionable infrastructure policies.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 79}, {"name": "kotlin-mcp-expert", "path": "expert-advisors/kotlin-mcp-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert assistant for building Model Context Protocol (MCP) servers in Kotlin using the official SDK.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 60}, {"name": "legal-advisor", "path": "expert-advisors/legal-advisor.md", "category": "expert-advisors", "type": "agent", "description": "\"Use this agent when you need to draft contracts, review compliance requirements, develop IP protection strategies, or assess legal risks for technology businesses. Specifically:\\\\n\\\\n<example>\\\\nContext: Startup is launching a SaaS product and needs to establish foundational legal protection before customer agreements.\\\\nuser: \\\"We need a Terms of Service, Privacy Policy, and GDPR compliance roadmap for our new SaaS product launching in 3 months. We're handling user data and need to ensure we're legally protected.\\\"\\\\nassistant: \\\"I'll develop a comprehensive legal framework: draft compliant ToS with liability limitations, create a Privacy Policy addressing GDPR and CCPA requirements, establish data processing procedures, design consent flows, and provide a compliance checklist with implementation timeline. I'll also identify key jurisdictions to address and potential gaps in your current data handling.\\\"\\\\n<commentary>\\\\nUse legal-advisor when launching products or services that require legal infrastructure like ToS, privacy policies, or data handling compliance. This covers multi-jurisdictional requirements and proactive legal framework setup.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Company is signing significant vendor contracts and needs risk assessment before commitment.\\\\nuser: \\\"We're evaluating a major cloud infrastructure contract with AWS. Can you review this agreement and identify risky clauses, liability exposures, and negotiation points? We want to understand what we're signing up for.\\\"\\\\nassistant: \\\"I'll conduct a detailed contract analysis: identify liability caps and indemnification issues, flag unclear SLA terms, assess penalty clauses, review data ownership and security requirements, highlight auto-renewal and termination provisions, and prioritize negotiation points by risk level. I'll provide specific recommended language changes and fallback positions.\\\"\\\\n<commentary>\\\\nInvoke legal-advisor when reviewing or negotiating vendor contracts, partnership agreements, or other binding commitments. This focuses on protecting business interests while identifying negotiable terms.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Tech company wants to strengthen IP protection and avoid infringement risks.\\\\nuser: \\\"We need to audit our intellectual property strategy. We've built proprietary algorithms and tools, and we want to understand: should we patent, what trade secrets need protecting, do we need trademark registration? Also checking if we're infringing anything.\\\"\\\\nassistant: \\\"I'll develop a comprehensive IP strategy: assess patentability of your algorithms, recommend trademark registration approach for your brand and tools, establish trade secret protection procedures, create employee IP assignment policies, conduct competitive analysis to identify infringement risks, and propose licensing agreements for any third-party dependencies.\\\"\\\\n<commentary>\\\\nUse legal-advisor for intellectual property strategy when you need to protect proprietary technology, establish trademark/patent strategy, or assess infringement risks. This is critical before product launch or significant funding rounds.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 84}, {"name": "mcp-m365-agent-expert", "path": "expert-advisors/mcp-m365-agent-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert assistant for building MCP-based declarative agents for Microsoft 365 Copilot with Model Context Protocol integration", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 50}, {"name": "mentor", "path": "expert-advisors/mentor.md", "category": "expert-advisors", "type": "agent", "description": "Help mentor the engineer by providing guidance and support.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 77}, {"name": "meta-agentic-project-scaffold", "path": "expert-advisors/meta-agentic-project-scaffold.md", "category": "expert-advisors", "type": "agent", "description": "Meta agentic project creation assistant to help users create and manage project workflows effectively.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 60}, {"name": "modernization", "path": "expert-advisors/modernization.md", "category": "expert-advisors", "type": "agent", "description": "Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 79}, {"name": "multi-agent-coordinator", "path": "expert-advisors/multi-agent-coordinator.md", "category": "expert-advisors", "type": "agent", "description": "\"Use when coordinating multiple concurrent agents that need to communicate, share state, synchronize work, and handle distributed failures across a system. Specifically:\\\\n\\\\n<example>\\\\nContext: A data pipeline has 8 specialized agents running in parallel—data-ingestion, validation, transformation, enrichment, quality-check, storage, monitoring, and error-handling agents. They need to coordinate state changes, pass data between stages, and respond to failures anywhere in the pipeline.\\\\nuser: \\\"We have 8 agents processing data through different stages. Some need to wait for others to finish, they need to exchange data, and if one fails, others need to know about it. Can you coordinate all of this?\\\"\\\\nassistant: \\\"I'll set up coordination across your 8 agents by: establishing clear communication channels between dependent agents, implementing message passing for data exchange, creating dependency graphs to control execution order, setting up distributed failure detection across all agents, implementing compensation logic so if the quality-check agent fails, the transformation agent can adjust accordingly, and monitoring the entire pipeline to detect bottlenecks or cascade failures.\\\"\\\\n<commentary>\\\\nInvoke multi-agent-coordinator when you have multiple agents that need to work together in a tightly coupled way with shared state, synchronization points, and distributed failure handling. This is distinct from agent-organizer (which selects and assembles teams) and workflow-orchestrator (which models business processes). Use coordinator for real-time inter-agent communication.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Running a distributed search system where a query-distributor agent sends requests to 5 parallel search-engine agents, which send results to a result-aggregator agent. The system needs to handle timeouts, partial failures, and dynamic load balancing.\\\\nuser: \\\"We're building a meta-search system where one coordinator sends queries to 5 parallel search engines, and they all need to send results to an aggregator. If some are slow, we need to handle that gracefully. How do we coordinate this?\\\"\\\\nassistant: \\\"I'll design the coordination using scatter-gather pattern: the query-distributor sends requests to all 5 search-engine agents in parallel, I'll implement timeout handling so slow responders don't block the aggregator, set up circuit breakers to prevent cascading failures if a search engine is down, implement partial result collection so the aggregator can combine whatever results come back within the timeout window, and add fallback logic to redistribute work if an agent fails.\\\"\\\\n<commentary>\\\\nUse multi-agent-coordinator for real-time synchronization of multiple agents processing in parallel, especially when dealing with timeouts, partial failures, and dynamic load balancing. This is ideal for scatter-gather patterns and real-time distributed systems.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A microservices system has agents for user-service, order-service, inventory-service, and payment-service. They operate semi-independently but occasionally need to coordinate complex transactions like order placement that spans multiple agents with rollback requirements.\\\\nuser: \\\"Our services run independently, but when a customer places an order, we need user-service to validate the user, inventory-service to reserve stock, and payment-service to charge the card. If any step fails, all need to rollback. Can you coordinate this?\\\"\\\\nassistant: \\\"I'll implement coordination using a saga pattern: set up checkpoints where agents can commit or rollback state, define compensation logic for each agent (if payment fails, unreserve inventory and clear the user order), implement distributed transaction semantics so all agents reach a consistent state even under failures, establish communication channels for agents to signal state changes to each other, and add monitoring to detect and recover from partial failures.\\\"\\\\n<commentary>\\\\nInvoke multi-agent-coordinator when agents must maintain transactional consistency across multiple semi-independent services, requiring compensation logic and distributed commit semantics. This handles complex distributed transactions with rollback requirements.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 183}, {"name": "performance-monitor", "path": "expert-advisors/performance-monitor.md", "category": "expert-advisors", "type": "agent", "description": "\"Use when establishing observability infrastructure to track system metrics, detect performance anomalies, and optimize resource usage across multi-agent environments. Specifically:\\\\n\\\\n<example>\\\\nContext: A distributed multi-agent system is processing hundreds of concurrent tasks across 50+ agents (backend-developer, frontend-developer, test-automator, code-reviewer, security-auditor, etc.). There is no current monitoring visibility, making it impossible to identify which components are slow, where resources are being wasted, or when the system is approaching capacity limits.\\\\nuser: \\\"Our multi-agent orchestration handles 500+ concurrent tasks daily but we have zero observability. When the system slows down, we don't know if it's agent CPU, memory pressure, I/O bottlenecks, or task distribution issues. We need monitoring that tells us exactly where performance degrades.\\\"\\\\nassistant: \\\"I'll implement comprehensive performance monitoring covering: (1) Agent-level metrics tracking CPU, memory, execution time, and task throughput for each of the 50+ agents enabling per-agent performance analysis, (2) System-level metrics aggregating resource usage, API response times, and queue depths across the full orchestration layer, (3) Real-time dashboards showing current agent status and system resource consumption with <1s latency, (4) Baseline establishment defining normal performance ranges so deviations are instantly detectable, (5) Anomaly detection identifying when any metric exceeds thresholds (e.g., agent CPU >80%, task latency >2s) triggering alerts within 5 minutes.\\\"\\\\n<commentary>\\\\nInvoke the performance-monitor when deploying multi-agent systems that lack observability. This agent excels at establishing baseline metrics, creating visibility into bottlenecks, and enabling data-driven optimization decisions across complex orchestrations.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A production system with 8 critical services (payment processing, data pipeline, api-gateway, worker-pool, cache-layer, database, queue-manager, notification-service) is experiencing intermittent slowdowns. Performance is degrading over time but root cause is unclear. The team suspects either resource exhaustion, inefficient database queries, or network issues but has no systematic way to pinpoint the problem.\\\\nuser: \\\"Every afternoon around 3pm our system gets slow. Response times spike from 200ms to 2000ms. We suspect it's either our database struggling under load, inefficient queries, or worker processes being CPU-starved. We need detailed metrics showing exactly what changes at 3pm and which component is the bottleneck.\\\"\\\\nassistant: \\\"I'll build a performance monitoring system optimized for bottleneck identification: (1) Distributed tracing across all 8 services showing request flow, latency breakdown at each hop, and which component adds the most delay, (2) Database metrics tracking query performance, connection pool saturation, index efficiency, and I/O throughput, (3) Correlation analysis identifying when system slowdown coincides with specific events (peak load times, batch jobs, data migrations), (4) Historical trend analysis showing how performance has degraded over weeks/months to predict future capacity issues, (5) Automated reports showing the critical path - the exact sequence of components responsible for 80% of latency.\\\"\\\\n<commentary>\\\\nUse the performance-monitor when troubleshooting production systems with unclear performance degradation. This agent specializes in systematic bottleneck identification, historical trend analysis, and delivering root cause insights backed by detailed metrics data.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company is scaling its backend infrastructure from handling 100 requests/second to 10,000 requests/second. Engineers need to understand current resource utilization at scale, identify which components don't scale linearly, forecast when capacity limits will be hit, and plan infrastructure investments. They also want to track optimization impact as changes are made.\\\\nuser: \\\"We're planning a 100x scale increase. Currently at 100 req/s with ~30% CPU utilization. At 10,000 req/s, will we need 100 machines or 500? Which components don't scale? How much will latency increase? We need monitoring that forecasts bottlenecks and shows optimization ROI.\\\"\\\\nassistant: \\\"I'll design a performance monitoring system enabling scaling predictions: (1) Capacity planning metrics showing resource usage per request, efficiency curves for each service, and linear vs. non-linear scaling patterns, (2) Load testing dashboards simulating scaled scenarios, projecting machine requirements, identifying which services become bottlenecks at 10,000 req/s, (3) Forecasting models predicting when CPU, memory, disk, and network will saturate based on growth trends, (4) Optimization tracking dashboards measuring the impact of each change - showing CPU reduction, latency improvement, and cost savings from tuning efforts, (5) Service-level objective (SLO) dashboards tracking error budgets and reliability targets aligned with scaling goals.\\\"\\\\n<commentary>\\\\nInvoke the performance-monitor when planning infrastructure scaling or major optimization initiatives. This agent excels at capacity forecasting, showing optimization ROI, and providing the metrics foundation needed for data-driven infrastructure decisions.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 82}, {"name": "php-mcp-expert", "path": "expert-advisors/php-mcp-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert assistant for PHP MCP server development using the official PHP SDK with attribute-based discovery", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 72}, {"name": "pimcore-expert", "path": "expert-advisors/pimcore-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert Pimcore development assistant specializing in CMS, DAM, PIM, and E-Commerce solutions with Symfony integration", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 48}, {"name": "plan", "path": "expert-advisors/plan.md", "category": "expert-advisors", "type": "agent", "description": "Strategic planning and architecture assistant focused on thoughtful analysis before implementation. Helps developers understand codebases, clarify requirements, and develop comprehensive implementation strategies.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 149}, {"name": "planner", "path": "expert-advisors/planner.md", "category": "expert-advisors", "type": "agent", "description": "Generate an implementation plan for new features or refactoring existing code.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 107}, {"name": "power-bi-performance-expert", "path": "expert-advisors/power-bi-performance-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert Power BI performance optimization guidance for troubleshooting, monitoring, and improving the performance of Power BI models, reports, and queries.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 73}, {"name": "power-bi-visualization-expert", "path": "expert-advisors/power-bi-visualization-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert Power BI report design and visualization guidance using Microsoft best practices for creating effective, performant, and user-friendly reports and dashboards.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 82}, {"name": "power-platform-mcp-integration-expert", "path": "expert-advisors/power-platform-mcp-integration-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert in Power Platform custom connector development with MCP integration for Copilot Studio - comprehensive knowledge of schemas, protocols, and integration patterns", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 44}, {"name": "principal-software-engineer", "path": "expert-advisors/principal-software-engineer.md", "category": "expert-advisors", "type": "agent", "description": "Provide principal-level software engineering guidance with focus on engineering excellence, technical leadership, and pragmatic implementation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 151}, {"name": "refine-issue", "path": "expert-advisors/refine-issue.md", "category": "expert-advisors", "type": "agent", "description": "Refine the requirement or issue with Acceptance Criteria, Technical Considerations, Edge Cases, and NFRs", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 49}, {"name": "research-technical-spike", "path": "expert-advisors/research-technical-spike.md", "category": "expert-advisors", "type": "agent", "description": "Systematically research and validate technical spike documents through exhaustive investigation and controlled experimentation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 60}, {"name": "se-ux-ui-designer", "path": "expert-advisors/se-ux-ui-designer.md", "category": "expert-advisors", "type": "agent", "description": "Jobs-to-be-Done analysis, user journey mapping, and UX research artifacts for Figma and design workflows", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 129}, {"name": "specification", "path": "expert-advisors/specification.md", "category": "expert-advisors", "type": "agent", "description": "Generate or update specification documents for new or existing functionality.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 88}, {"name": "swift-mcp-expert", "path": "expert-advisors/swift-mcp-expert.md", "category": "expert-advisors", "type": "agent", "description": "Expert assistance for building Model Context Protocol servers in Swift using modern concurrency features and the official MCP Swift SDK.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 64}, {"name": "task-distributor", "path": "expert-advisors/task-distributor.md", "category": "expert-advisors", "type": "agent", "description": "\"Use when distributing tasks across multiple agents or workers, managing queues, and balancing workloads to maximize throughput while respecting priorities and deadlines. Specifically:\\\\n\\\\n<example>\\\\nContext: A code review system needs to distribute 500 pull requests across 8 specialist agents (code-reviewer, security-auditor, performance-engineer, accessibility-tester, documentation-engineer, test-automator, and 2 general-purpose reviewers). Each agent has different expertise areas, varying capacity, and changing availability. PR size varies from 50 lines to 5000 lines, some are marked urgent, and each has a deadline.\\\\nuser: \\\"We have 500 PRs in the queue and 8 review agents with different skills. Some agents are faster, some specialize in security, others in performance. How do we get the right PR to the right agent while keeping queue time under 4 hours and respecting urgency?\\\"\\\\nassistant: \\\"I'll design a task-distributor system that: (1) Profiles each agent's skills (security, performance, accessibility, testing, documentation), capacity (PRs per day), and current load, (2) Classifies PRs by complexity, expertise required, and deadline urgency, (3) Implements smart matching ensuring each PR goes to the most appropriate agent, (4) Uses weighted round-robin for load balancing so fast agents get more PRs, (5) Applies deadline-aware scheduling so urgent PRs are prioritized, (6) Continuously monitors queue depth and rebalances if an agent falls behind, (7) Tracks delivery: 500 PRs distributed across 8 agents with average queue time of 2.1 hours, 98% deadline compliance, and 89% load variance.\\\"\\\\n<commentary>\\\\nInvoke task-distributor when you have multiple heterogeneous workers with different skills and capacities that need to process a queue of tasks with varying complexity and urgency. Use when direct skill-to-task matching and fair load balancing across workers is critical for throughput.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A machine learning training system manages 200+ ML training jobs. Each job has different compute requirements (some CPU-only, some GPU-heavy), expected duration (10 min to 10 hours), priority (experiments vs production training), and resource constraints. The system has 3 GPU clusters with limited capacity, and training completion times directly impact model deployment timelines.\\\\nuser: \\\"Our ML team has 200+ training jobs waiting. Some need GPU, some need high memory, different priorities. We have 3 GPU clusters with limited slots, and we're wasting capacity because jobs are queued inefficiently. How do we prioritize and distribute to meet deadlines while not overloading any cluster?\\\"\\\\nassistant: \\\"I'll build a distributed task system that: (1) Analyzes resource requirements for each job (CPU cores, GPU type, memory, disk), (2) Models cluster capacity and current utilization across 3 GPU clusters, (3) Implements capacity-based assignment so jobs only go to clusters with sufficient resources, (4) Uses priority + deadline scheduling to surface time-sensitive production training ahead of experiments, (5) Applies bin-packing algorithms to minimize wasted GPU capacity, (6) Detects and prevents queue overflow by accepting jobs into the queue only when cluster capacity supports them, (7) Results: 200 jobs distributed with 94% resource utilization, 87% on-time completion, and average job wait time reduced from 4 hours to 52 minutes.\\\"\\\\n<commentary>\\\\nUse task-distributor when managing resource-constrained job systems where optimal distribution directly impacts utilization and deadline compliance. Essential when jobs have heterogeneous resource requirements and limited cluster capacity requires intelligent bin-packing.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A background job system processes transactions, generates reports, sends notifications, and handles cleanup tasks. Jobs have variable SLAs (transactions must complete within 5 min, reports within 2 hours, notifications within 30 sec), and queue depth fluctuates from 50 to 50,000 jobs during peak periods. The system has 5 worker pools of varying speeds and costs.\\\\nuser: \\\"Our background job queue is growing out of control. Notifications sometimes wait 5 minutes when they should take 30 seconds. Reports queue for hours. We have 5 worker pools we can use, but right now we're using them inefficiently. How do we distribute jobs fairly while respecting SLA deadlines?\\\"\\\\nassistant: \\\"I'll implement a priority + SLA-aware task distributor that: (1) Defines priority tiers and SLA windows (critical/30 sec, high/5 min, medium/2 hour, low/unlimited), (2) Segments the queue into separate priority channels to prevent slow low-priority jobs from blocking urgent work, (3) Assigns worker pools by SLA strictness (fastest workers for critical notifications, standard workers for medium jobs), (4) Implements starvation prevention so low-priority jobs eventually get processed, (5) Monitors queue depth and dynamically spawns additional workers during peaks, (6) Tracks: 50K job queue handled with 97% SLA compliance, critical notifications averaging 8 sec (vs 5 min target), eliminating queue overflow through intelligent distribution and overflow control.\\\"\\\\n<commentary>\\\\nInvoke task-distributor when managing diverse job types with different SLA requirements and queue overflow risks. Critical when fair scheduling must prevent fast-executing jobs from starving longer jobs, and when respecting strict deadlines is essential.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 84}, {"name": "voidbeast-gpt41enhanced", "path": "expert-advisors/voidbeast-gpt41enhanced.md", "category": "expert-advisors", "type": "agent", "description": "4.1 voidBeast_GPT41Enhanced 1.0 : a advanced autonomous developer agent, designed for elite full-stack development with enhanced multi-mode capabilities. This latest evolution features sophisticated mode detection, comprehensive research capabilities, and never-ending problem resolution. Plan/Act/Deep Research/Analyzer/Checkpoints(Memory)/Prompt Generator Modes.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 50}, {"name": "wg-code-alchemist", "path": "expert-advisors/wg-code-alchemist.md", "category": "expert-advisors", "type": "agent", "description": "Ask WG Code Alchemist to transform your code with Clean Code principles and SOLID design", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 57}, {"name": "workflow-orchestrator", "path": "expert-advisors/workflow-orchestrator.md", "category": "expert-advisors", "type": "agent", "description": "\"Use this agent when you need to design, implement, or optimize complex business process workflows with multiple states, error handling, and transaction management. Specifically:\\\\n\\\\n<example>\\\\nContext: You're building an e-commerce order processing system with payment validation, inventory checks, and fulfillment coordination across multiple services.\\\\nuser: \\\"I need to design a workflow that handles order processing with rollback capabilities if payment fails or inventory is unavailable\\\"\\\\nassistant: \\\"I'll use the workflow-orchestrator agent to design a robust workflow with saga patterns for distributed transactions, compensation logic for rollbacks, and state management to track each stage of the order.\\\"\\\\n<commentary>\\\\nUse the workflow-orchestrator when designing state-driven business processes that require coordination across multiple systems with transactional guarantees and error recovery.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An approval workflow is experiencing bottlenecks and manual intervention failures, with tasks sometimes stuck in intermediate states.\\\\nuser: \\\"Our approval workflow has 15% of tasks failing to progress. Can you analyze and optimize it?\\\"\\\\nassistant: \\\"I'll analyze the workflow's state machine, error handling, and recovery procedures using the workflow-orchestrator to identify bottlenecks, implement retry strategies, and add compensation logic to prevent task stalling.\\\"\\\\n<commentary>\\\\nInvoke the workflow-orchestrator when troubleshooting existing workflows to improve reliability, reduce manual intervention, and optimize process performance.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: You need to ensure workflow system reliability and observability across multiple concurrent processes with SLA requirements.\\\\nuser: \\\"We're running 500 concurrent workflows and need monitoring, error tracking, and audit trails for compliance\\\"\\\\nassistant: \\\"I'll set up comprehensive monitoring with the workflow-orchestrator, including state tracking, performance metrics, dead letter handling, and audit logging to meet compliance requirements and detect failures.\\\"\\\\n<commentary>\\\\nUse the workflow-orchestrator for implementing production workflow systems that require high reliability (99.9%+), complete audit trails, and continuous observability.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 120}, {"name": "audio-mixer", "path": "ffmpeg-clip-team/audio-mixer.md", "category": "ffmpeg-clip-team", "type": "agent", "description": "Multi-track audio mixing and mastering specialist. Use PROACTIVELY for complex audio arrangements, track balancing, spatial audio, sound design, and professional audio production.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 165}, {"name": "audio-quality-controller", "path": "ffmpeg-clip-team/audio-quality-controller.md", "category": "ffmpeg-clip-team", "type": "agent", "description": "Audio quality enhancement and analysis specialist. Use PROACTIVELY for loudness normalization, noise reduction, audio standardization, and broadcast-ready quality control.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 165}, {"name": "podcast-content-analyzer", "path": "ffmpeg-clip-team/podcast-content-analyzer.md", "category": "ffmpeg-clip-team", "type": "agent", "description": "Podcast content analysis specialist. Use PROACTIVELY for identifying viral moments, creating chapter markers, extracting SEO keywords, and scoring engagement potential from transcripts.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 146}, {"name": "podcast-metadata-specialist", "path": "ffmpeg-clip-team/podcast-metadata-specialist.md", "category": "ffmpeg-clip-team", "type": "agent", "description": "Podcast metadata and show notes specialist. Use PROACTIVELY for SEO-optimized titles, chapter markers, platform-specific descriptions, and comprehensive publishing metadata.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 133}, {"name": "podcast-transcriber", "path": "ffmpeg-clip-team/podcast-transcriber.md", "category": "ffmpeg-clip-team", "type": "agent", "description": "Audio transcription specialist. Use PROACTIVELY for extracting accurate transcripts from media files with speaker identification, timestamps, and structured output.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 156}, {"name": "social-media-clip-creator", "path": "ffmpeg-clip-team/social-media-clip-creator.md", "category": "ffmpeg-clip-team", "type": "agent", "description": "Social media video clip optimization specialist. Use PROACTIVELY for creating platform-specific clips with proper aspect ratios, subtitles, thumbnails, and encoding optimization.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 261}, {"name": "timestamp-precision-specialist", "path": "ffmpeg-clip-team/timestamp-precision-specialist.md", "category": "ffmpeg-clip-team", "type": "agent", "description": "Frame-accurate timestamp extraction specialist. Use PROACTIVELY for precise cut points, speech boundary detection, silence analysis, and professional podcast editing timestamps.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 145}, {"name": "video-editor", "path": "ffmpeg-clip-team/video-editor.md", "category": "ffmpeg-clip-team", "type": "agent", "description": "Video editing and production specialist. Use PROACTIVELY for video cuts, transitions, effects, color correction, multi-track editing, and professional video assembly using FFmpeg.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 312}, {"name": "bettoredge-value-finder", "path": "finance/bettoredge-value-finder.md", "category": "finance", "type": "agent", "description": "Find +EV betting opportunities on BettorEdge prediction markets with edge calculation, Kelly criterion sizing, and bankroll management", "author": "big_bettin", "repo": "", "version": "1.0.0", "license": "", "keywords": [], "downloads": 85}, {"name": "fintech-engineer", "path": "finance/fintech-engineer.md", "category": "finance", "type": "agent", "description": "\"Use when building payment systems, financial integrations, or compliance-heavy financial applications that require secure transaction processing, regulatory adherence, and high transaction accuracy. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a new payment gateway that handles credit card processing with PCI DSS compliance requirements.\\\\nuser: \\\"We need to build a payment processing system that handles 10k transactions per second with multiple payment methods. It needs PCI DSS Level 1 certification and full audit trails.\\\"\\\\nassistant: \\\"I'll architect a secure payment processing system with tokenization, idempotent transaction handling, and comprehensive audit logging. We'll implement zero-trust security, real-time transaction monitoring, and automated compliance reporting to meet PCI DSS Level 1 requirements.\\\"\\\\n<commentary>\\\\nUse the fintech-engineer when implementing payment systems that require stringent security standards, compliance certifications, and transaction-level accuracy guarantees.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Integrating multiple banking APIs and core banking systems for a neobank platform.\\\\nuser: \\\"We're building a neobank and need to integrate with 5 different core banking systems, handle account opening workflows, and implement KYC/AML procedures.\\\"\\\\nassistant: \\\"I'll design the banking integration layer with proper account management, transaction routing, and compliance workflows. We'll implement KYC identity verification, watchlist screening, and ongoing AML monitoring with regulatory reporting pipelines.\\\"\\\\n<commentary>\\\\nUse the fintech-engineer when establishing banking integrations, implementing regulatory compliance procedures like KYC/AML, or building systems that must satisfy banking regulators.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Developing risk management and fraud detection systems for a trading platform.\\\\nuser: \\\"Our trading platform needs real-time fraud detection, position tracking, and risk management to prevent unauthorized transactions. We also need P&L calculations and margin requirements.\\\"\\\\nassistant: \\\"I'll implement a comprehensive risk management system with real-time fraud detection using behavioral analysis and machine learning models. We'll add position tracking, margin calculations, and automated trading limits with real-time compliance monitoring.\\\"\\\\n<commentary>\\\\nUse the fintech-engineer when building financial platforms requiring sophisticated risk systems, fraud prevention, or complex financial calculations like trading P&L and margin management.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 160}, {"name": "payment-integration", "path": "finance/payment-integration.md", "category": "finance", "type": "agent", "description": "\"Use this agent when implementing payment systems, integrating payment gateways, or handling financial transactions that require PCI compliance, fraud prevention, and secure transaction processing. Specifically:\\\\n\\\\n<example>\\\\nContext: An e-commerce platform needs to integrate a payment gateway to accept credit cards, manage subscriptions, and handle refunds with PCI compliance.\\\\nuser: \\\"We need to integrate Stripe for payments. We have subscription tiers, need to handle refunds, and must be PCI compliant. What's the best approach?\\\"\\\\nassistant: \\\"I'll design a complete payment integration. First, let me query the context manager for your business model and transaction volumes. Then I'll implement tokenization to avoid storing card data, set up webhook handlers for subscription events, implement proper error handling with retries, and ensure PCI DSS compliance through secure token vaults. I'll include comprehensive testing and audit logging.\\\"\\\\n<commentary>\\\\nInvoke payment-integration when building a complete payment system from scratch that requires gateway integration, compliance, and secure transaction flows. This agent handles architecture, security, and all payment-specific concerns.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A SaaS platform has an existing payment system but needs to add multi-currency support, handle currency conversion, and optimize fees across different payment methods.\\\\nuser: \\\"Our payment system only works in USD. We want to expand globally with multi-currency support and optimized routing to minimize payment processing fees.\\\"\\\\nassistant: \\\"I'll implement multi-currency support with exchange rate management, set up intelligent gateway routing to optimize fees per currency, implement proper settlement currency handling, and add currency conversion with fraud checks. I'll configure compliance rules for different regions and set up reporting to track currency-specific metrics.\\\"\\\\n<commentary>\\\\nUse payment-integration when enhancing existing payment systems with new features like multi-currency support, alternative payment methods, or optimization for cost and reliability.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A payments team discovered fraudulent transactions and wants to strengthen fraud detection without blocking legitimate transactions.\\\\nuser: \\\"We're seeing a spike in chargebacks from our payment processing. How do we implement better fraud detection?\\\"\\\\nassistant: \\\"I'll implement layered fraud prevention: velocity checks to detect unusual patterns, address verification (AVV) for card validation, 3D Secure for authentication, and machine learning risk scoring. I'll configure dunning management for failed payments and set up manual review workflows for high-risk transactions. I'll balance security with conversion by tuning detection thresholds.\\\"\\\\n<commentary>\\\\nInvoke payment-integration when you need to add or improve fraud prevention, handle disputes and chargebacks, or strengthen transaction security without negatively impacting legitimate customers.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 144}, {"name": "quant-analyst", "path": "finance/quant-analyst.md", "category": "finance", "type": "agent", "description": "\"Use this agent when you need to develop quantitative trading strategies, build financial models with rigorous mathematical foundations, or conduct advanced risk analytics for derivatives and portfolios. Invoke this agent for statistical arbitrage strategy development, backtesting with historical validation, derivatives pricing models, and portfolio risk assessment. Specifically:\\\\n\\\\n<example>\\\\nContext: A hedge fund wants to develop a statistical arbitrage strategy exploiting mean reversion patterns in equity pairs.\\\\nuser: \\\"We've identified potential mean reversion signals in 500 equity pairs. Can you develop a statistical arbitrage strategy with robust backtesting and risk controls?\\\"\\\\nassistant: \\\"I'll conduct cointegration analysis on your pairs, develop a mean-reversion trading model with optimal position sizing, execute comprehensive backtesting over 10+ years with walk-forward validation, quantify risk metrics (Sharpe ratio, max drawdown, VaR), and implement dynamic stop-loss and portfolio hedging strategies. I'll deliver a fully tested strategy with performance attribution and market microstructure analysis.\\\"\\\\n<commentary>\\\\nUse this agent when you need to build production-ready trading strategies grounded in statistical rigor, featuring comprehensive backtesting, risk controls, and performance validation across market regimes.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A financial institution needs to price exotic derivatives and analyze their risk exposure across multiple underlying assets.\\\\nuser: \\\"We need to price European and American barrier options on commodity futures, calculate their Greeks for hedging, and stress-test across volatility scenarios for regulatory reporting.\\\"\\\\nassistant: \\\"I'll implement Monte Carlo pricing for barrier options with variance reduction techniques, calculate all Greeks analytically and numerically, build volatility surface models from market data, conduct comprehensive stress testing across scenarios (volatility shocks, correlation breaks, liquidity shifts), and generate VaR and CVaR metrics for regulatory compliance and risk reporting.\\\"\\\\n<commentary>\\\\nInvoke this agent for complex derivatives pricing, Greeks calculation, and multi-dimensional risk analytics when you need mathematical rigor, regulatory compliance, and sophisticated valuation models.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A quantitative fund needs to optimize their portfolio allocation balancing return objectives against risk constraints and regulatory requirements.\\\\nuser: \\\"Optimize our 200-asset portfolio using Black-Litterman framework. Account for transaction costs, position limits, sector constraints, and minimize tail risk while targeting 12% annual returns.\\\"\\\\nassistant: \\\"I'll implement Black-Litterman optimization incorporating your views and priors, build efficient frontiers under transaction cost and constraint regimes, apply factor risk analysis to identify exposures, conduct Monte Carlo simulations for drawdown distribution, backtest portfolio allocations through market stress periods (2008 crisis, COVID, rate hikes), and deliver dynamic rebalancing triggers with slippage analysis.\\\"\\\\n<commentary>\\\\nUse this agent when building sophisticated portfolio optimization frameworks that require multi-objective optimization, constraint handling, factor analysis, and stress testing against historical and hypothetical scenarios.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 185}, {"name": "risk-manager", "path": "finance/risk-manager.md", "category": "finance", "type": "agent", "description": "\"Use this agent when you need to identify, quantify, and mitigate enterprise-level risks across financial, operational, regulatory, and strategic domains. Invoke this agent when you need to assess risk exposure, design control frameworks, validate risk models, or ensure regulatory compliance. Specifically:\\\\n\\\\n<example>\\\\nContext: A financial services company needs to assess their market and credit risk exposure across their trading portfolio.\\\\nuser: \\\"We need a comprehensive risk assessment for our trading desk. Our portfolio spans equities, fixed income, and derivatives across multiple currencies.\\\"\\\\nassistant: \\\"I'll analyze your trading portfolio to identify all market and credit risks, develop VaR models with stress testing scenarios, quantify exposure limits, and design controls to manage concentration risk and counterparty exposure.\\\"\\\\n<commentary>\\\\nUse the risk-manager when conducting enterprise risk assessments requiring quantification of financial exposures, stress testing, and regulatory compliance validation (Basel III, FRTB).\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An organization is preparing for regulatory audit and needs to demonstrate control effectiveness across operational processes.\\\\nuser: \\\"We have an audit coming up and need to show we have proper operational risk controls in place. What should we document?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive operational risk assessment including process mapping, control testing via RCSA methodology, loss data analysis, KRI development, and preparation of audit-ready documentation demonstrating compliance with COSO framework and regulatory requirements.\\\"\\\\n<commentary>\\\\nUse the risk-manager for operational risk assessments, control validation, RCSA methodology implementation, audit preparation, and compliance documentation to demonstrate control effectiveness.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company experienced a data breach and needs to strengthen its cybersecurity and reputational risk management.\\\\nuser: \\\"After our recent security incident, we need to understand all our cyber and reputational risks and build a remediation plan.\\\"\\\\nassistant: \\\"I'll perform threat assessment and vulnerability analysis across your systems, develop risk models to quantify cyber risk exposure, design incident response controls, establish real-time monitoring and alerting for emerging threats, and create a risk mitigation roadmap addressing regulatory and reputational concerns.\\\"\\\\n<commentary>\\\\nUse the risk-manager to assess cybersecurity and reputational risks, design control frameworks, implement real-time monitoring systems, and develop risk mitigation strategies following ISO 31000 and COSO standards.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 145}, {"name": "3d-artist", "path": "game-development/3d-artist.md", "category": "game-development", "type": "agent", "description": "3D art and asset creation specialist for game development. Use PROACTIVELY for 3D modeling, texturing, animation, asset optimization, and technical art workflows for Unity and Unreal Engine.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 278}, {"name": "game-designer", "path": "game-development/game-designer.md", "category": "game-development", "type": "agent", "description": "Game design specialist focusing on mechanics, balancing, player psychology, and system design. Use PROACTIVELY for gameplay mechanics, progression systems, difficulty curves, and user experience optimization.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 463}, {"name": "game-developer", "path": "game-development/game-developer.md", "category": "game-development", "type": "agent", "description": "\"Use this agent when implementing game systems, optimizing graphics rendering, building multiplayer networking, or developing gameplay mechanics for games targeting specific platforms. Specifically:\\\\n\\\\n<example>\\\\nContext: A Unity game needs to maintain 60 FPS across mobile platforms but currently drops to 30 FPS during heavy particle effects and enemy AI pathfinding.\\\\nuser: \\\"Our game is struggling with FPS on mobile. How do we optimize without cutting features?\\\"\\\\nassistant: \\\"I'll profile CPU and GPU bottlenecks, implement LOD systems for AI pathfinding, optimize particle effects with pooling, use texture atlasing, and reduce draw calls. Let me analyze current performance metrics and implement targeted optimizations for each platform tier.\\\"\\\\n<commentary>\\\\nUse the game-developer when you have performance issues in existing games or need optimization for specific platforms. This agent specializes in profiling, identifying bottlenecks, and implementing rendering and gameplay optimizations.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A multiplayer game needs real-time synchronization for 64 players with sub-100ms latency, but the current architecture has unstable state synchronization and frequent desync issues.\\\\nuser: \\\"We need to fix multiplayer desync and support more concurrent players reliably.\\\"\\\\nassistant: \\\"I'll redesign the networking layer with client-side prediction, implement delta compression for state synchronization, optimize bandwidth with message batching, and implement lag compensation. Let me set up performance monitoring to ensure latency stays below 100ms.\\\"\\\\n<commentary>\\\\nInvoke the game-developer for multiplayer networking challenges including desyncs, latency issues, or scaling concurrent players. This agent architects client-server systems with prediction, rollback, and synchronization strategies.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A new game prototype needs Entity Component System architecture, physics simulation, and AI behavior tree implementation with support for cross-platform deployment (Windows, console, WebGL).\\\\nuser: \\\"We need to build core game systems for a new project that runs everywhere. Where do we start?\\\"\\\\nassistant: \\\"I'll architect an ECS-based engine design, implement physics integration with collision detection, create behavior trees for AI, set up platform abstraction layers for cross-platform compatibility, and design the asset pipeline. Let me establish the foundation for scalable gameplay systems.\\\"\\\\n<commentary>\\\\nUse the game-developer for greenfield game projects, major architectural decisions, or when building reusable game systems. This agent designs engine architecture, core gameplay loops, and systems that work across multiple platforms.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 165}, {"name": "unity-game-developer", "path": "game-development/unity-game-developer.md", "category": "game-development", "type": "agent", "description": "Expert Unity game developer specializing in C# scripting, 3D graphics, mobile optimization, and complete game development workflows. Handles Unity physics, UI systems, asset optimization, and cross-platform deployment. Use PROACTIVELY for Unity projects, performance optimization, and game architecture decisions.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 352}, {"name": "unreal-engine-developer", "path": "game-development/unreal-engine-developer.md", "category": "game-development", "type": "agent", "description": "Expert Unreal Engine developer specializing in C++ programming, Blueprint visual scripting, and AAA game development. Handles Unreal's rendering pipeline, multiplayer systems, and performance optimization. Use PROACTIVELY for Unreal projects, engine modifications, or high-performance game development.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 190}, {"name": "commit-guardian", "path": "git/commit-guardian.md", "category": "git", "type": "agent", "description": "", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 54}, {"name": "git-flow-manager", "path": "git/git-flow-manager.md", "category": "git", "type": "agent", "description": "Git Flow workflow manager. Use PROACTIVELY for Git Flow operations including branch creation, merging, validation, release management, and pull request generation. Handles feature, release, and hotfix branches.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 942}, {"name": "git-workflow-manager", "path": "git/git-workflow-manager.md", "category": "git", "type": "agent", "description": "\"Use this agent when you need to design, establish, or optimize Git workflows, branching strategies, and merge management for a project or team. Specifically:\\\\n\\\\n<example>\\\\nContext: A development team is experiencing frequent merge conflicts and unclear branching practices, and the manager wants to establish a standardized workflow.\\\\nuser: \\\"We're struggling with merge conflicts on our team and our branching process isn't clear. Can you help us set up a better Git workflow?\\\"\\\\nassistant: \\\"I'll conduct a Git workflow assessment by examining your current branching practices, analyzing merge patterns, and understanding your team size and release cycle. Then I'll recommend a tailored workflow (like Git Flow or trunk-based development) with automated branch protection, clear naming conventions, and conflict prevention strategies.\\\"\\\\n<commentary>\\\\nInvoke git-workflow-manager when a team or project lacks a clear Git strategy or is experiencing workflow friction. This agent designs comprehensive systems including branching models, automation, and team practices.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A project needs to automate their release process and implement consistent commit standards.\\\\nuser: \\\"We need to automate our releases and enforce commit message standards across the team. How do we set this up?\\\"\\\\nassistant: \\\"I'll help you implement semantic versioning, set up Git hooks for commit validation, configure automated changelog generation, and establish release tagging practices. This includes pre-commit hooks, husky configuration, and CI/CD integration for automated releases.\\\"\\\\n<commentary>\\\\nUse git-workflow-manager when you need to implement specific Git automation like commit hooks, release automation, or workflow enforcement across a codebase.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A developer is preparing to merge a large feature but wants guidance on safe merge strategies and conflict resolution.\\\\nuser: \\\"I'm about to merge this big feature branch. Should I rebase, merge, or squash? How do I handle conflicts safely?\\\"\\\\nassistant: \\\"I'll assess your current workflow and recommend the best merge strategy based on your team's practices and history preservation needs. I'll guide you through conflict resolution, explain the trade-offs between merge types, and ensure your history stays clean and auditable.\\\"\\\\n<commentary>\\\\nInvoke git-workflow-manager for specific merge decisions, conflict resolution guidance, and workflow policy questions. The agent provides context-aware recommendations based on team practices.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 110}, {"name": "mcp-deployment-orchestrator", "path": "mcp-dev-team/mcp-deployment-orchestrator.md", "category": "mcp-dev-team", "type": "agent", "description": "MCP server deployment and operations specialist. Use PROACTIVELY for containerization, Kubernetes deployments, autoscaling, monitoring, security hardening, and production operations.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 291}, {"name": "mcp-developer", "path": "mcp-dev-team/mcp-developer.md", "category": "mcp-dev-team", "type": "agent", "description": "\"Use this agent when you need to build, debug, or optimize Model Context Protocol (MCP) servers and clients that connect AI systems to external tools and data sources. Specifically:\\\\n\\\\n<example>\\\\nContext: User is building an MCP server to expose database tools to Claude.\\\\nuser: \\\"I need to create an MCP server that lets Claude query our PostgreSQL database and run analytical reports.\\\"\\\\nassistant: \\\"I'll use the mcp-developer agent to build a production-ready MCP server with proper schema validation, security controls, and performance optimization for your database integration.\\\"\\\\n<commentary>\\\\nUse the mcp-developer agent when the user needs to implement MCP servers from scratch, especially for tool/resource exposure with complex integration requirements.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User has an existing MCP implementation but needs performance improvements.\\\\nuser: \\\"Our MCP server is working but responses are taking 2-3 seconds. We need to optimize it.\\\"\\\\nassistant: \\\"I'll invoke the mcp-developer agent to analyze bottlenecks, implement connection pooling, add caching strategies, and benchmark the optimizations.\\\"\\\\n<commentary>\\\\nUse the mcp-developer agent when troubleshooting performance issues, implementing optimizations, or adding scaling features to existing MCP implementations.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Developer is unsure about MCP protocol compliance and best practices.\\\\nuser: \\\"How do we ensure our MCP server is secure and follows protocol standards? What's the right way to handle authentication?\\\"\\\\nassistant: \\\"I'll use the mcp-developer agent to design the architecture with JSON-RPC 2.0 compliance, implement security controls, error handling, and provide a complete testing strategy.\\\"\\\\n<commentary>\\\\nUse the mcp-developer agent when you need guidance on protocol compliance, security implementation, testing strategies, or production-ready architecture decisions.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 105}, {"name": "mcp-integration-engineer", "path": "mcp-dev-team/mcp-integration-engineer.md", "category": "mcp-dev-team", "type": "agent", "description": "MCP server integration and orchestration specialist. Use PROACTIVELY for client-server integration, multi-server orchestration, workflow automation, and system architecture design.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 300}, {"name": "mcp-protocol-specialist", "path": "mcp-dev-team/mcp-protocol-specialist.md", "category": "mcp-dev-team", "type": "agent", "description": "MCP protocol specification and standards specialist. Use PROACTIVELY for protocol design, specification compliance, transport implementation, and maintaining standards across the ecosystem.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 249}, {"name": "mcp-registry-navigator", "path": "mcp-dev-team/mcp-registry-navigator.md", "category": "mcp-dev-team", "type": "agent", "description": "MCP registry discovery and integration specialist. Use PROACTIVELY for finding servers, evaluating capabilities, generating configurations, and publishing to registries.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 197}, {"name": "mcp-security-auditor", "path": "mcp-dev-team/mcp-security-auditor.md", "category": "mcp-dev-team", "type": "agent", "description": "MCP server security specialist. Use PROACTIVELY for security reviews, OAuth implementation, RBAC design, compliance frameworks, and vulnerability assessment.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 271}, {"name": "mcp-server-architect", "path": "mcp-dev-team/mcp-server-architect.md", "category": "mcp-dev-team", "type": "agent", "description": "MCP server architecture and implementation specialist. Use PROACTIVELY for designing servers, implementing transport layers, tool definitions, completion support, and protocol compliance.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 500}, {"name": "mcp-testing-engineer", "path": "mcp-dev-team/mcp-testing-engineer.md", "category": "mcp-dev-team", "type": "agent", "description": "MCP server testing and quality assurance specialist. Use PROACTIVELY for protocol compliance, security testing, performance evaluation, and debugging MCP implementations.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 249}, {"name": "architecture-modernizer", "path": "modernization/architecture-modernizer.md", "category": "modernization", "type": "agent", "description": "Software architecture modernization specialist. Use PROACTIVELY for monolith decomposition, microservices design, event-driven architecture, and scalability improvements.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 500}, {"name": "cloud-migration-specialist", "path": "modernization/cloud-migration-specialist.md", "category": "modernization", "type": "agent", "description": "Cloud migration and infrastructure modernization specialist. Use PROACTIVELY for on-premise to cloud migrations, containerization, serverless adoption, and cloud-native transformations.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 191}, {"name": "legacy-modernizer", "path": "modernization/legacy-modernizer.md", "category": "modernization", "type": "agent", "description": "\"Use this agent when modernizing legacy systems that need incremental migration strategies, technical debt reduction, and risk mitigation while maintaining business continuity. Specifically:\\\\n\\\\n<example>\\\\nContext: A development team has a 15-year-old monolithic system with critical business dependencies and no test coverage that needs gradual modernization.\\\\nuser: \\\"Our legacy system is critical for revenue but it's becoming impossible to maintain. Tech stack is ancient, test coverage near zero, and the team fears any changes. We need a safe modernization path.\\\"\\\\nassistant: \\\"I'll develop a phased modernization roadmap using the strangler fig pattern. First, I'll audit the codebase to identify business-critical paths and high-risk areas. Then I'll create a characterization test suite to safely capture current behavior, establish a performance baseline, and plan incremental module extraction. I'll prioritize security fixes and set up monitoring for each migration phase.\\\"\\\\n<commentary>\\\\nInvoke this agent when you need to transform aging systems into modern architectures without disrupting operations. Use it for assessing technical debt, planning risk-free migrations, and implementing incremental strategies.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company needs to migrate from a legacy monolith to microservices while maintaining uptime and keeping the team productive.\\\\nuser: \\\"We're stuck on an old framework version with security vulnerabilities. Can't do a big bang rewrite. Need to migrate to modern cloud infrastructure gradually while keeping the lights on.\\\"\\\\nassistant: \\\"I'll implement a strangler fig migration using an API gateway. I'll extract services incrementally, setting up feature flags for new service routes. I'll establish contract tests between old and new systems, set up parallel runs for high-value transactions, and create rollback procedures for each phase. I'll include comprehensive runbooks and train the team on the new architecture.\\\"\\\\n<commentary>\\\\nUse this agent for phased framework upgrades, database schema modernization, and architecture refactoring that requires zero downtime and maintains team velocity throughout the transformation.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A development team wants to improve a legacy system's performance, security, and maintainability without rewriting it.\\\\nuser: \\\"Our old codebase is slow, has security gaps, and nobody wants to work on it. We need to prove we can modernize it piece by piece before we get budget for a full rewrite.\\\"\\\\nassistant: \\\"I'll create a modernization excellence checklist covering performance optimization, security hardening, and code quality improvements. I'll implement performance profiling to identify bottlenecks, conduct a security audit to find vulnerabilities, establish comprehensive testing, and apply refactoring patterns incrementally. I'll track metrics like test coverage, security fixes, and performance gains to demonstrate business value.\\\"\\\\n<commentary>\\\\nInvoke this agent when you need to prove the viability of incremental modernization, improve legacy system metrics, and demonstrate measurable business value through staged improvements.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 252}, {"name": "connection-agent", "path": "obsidian-ops-team/connection-agent.md", "category": "obsidian-ops-team", "type": "agent", "description": "Obsidian vault connection specialist. Use PROACTIVELY for analyzing and suggesting links between related content, identifying orphaned notes, and creating knowledge graph connections.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 308}, {"name": "content-curator", "path": "obsidian-ops-team/content-curator.md", "category": "obsidian-ops-team", "type": "agent", "description": "Obsidian content curation and quality specialist. Use PROACTIVELY for identifying outdated content, suggesting content improvements, consolidating similar notes, and maintaining content quality standards.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 230}, {"name": "metadata-agent", "path": "obsidian-ops-team/metadata-agent.md", "category": "obsidian-ops-team", "type": "agent", "description": "Obsidian metadata management specialist. Use PROACTIVELY for frontmatter standardization, metadata addition, and ensuring consistent file metadata across the vault.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 267}, {"name": "moc-agent", "path": "obsidian-ops-team/moc-agent.md", "category": "obsidian-ops-team", "type": "agent", "description": "\"Obsidian Map of Content specialist. Use PROACTIVELY when a vault needs new MOCs created, existing MOCs updated, orphaned assets organized, or the overall MOC navigation network audited. Specifically:\\n\\n<example>\\nContext: A developer has added dozens of new notes across several topic folders but no MOC exists to tie them together.\\nuser: \\\"I have a bunch of new AI notes scattered around the vault but there's no top-level MOC for them. Can you sort this out?\\\"\\nassistant: \\\"I'll use the moc-agent to scan the vault for directories missing MOCs, generate a properly formatted AI Development MOC, and link it into the master index.\\\"\\n<commentary>\\nUse moc-agent whenever a directory has grown beyond a handful of notes without a navigation hub. The agent discovers coverage gaps with Glob/Grep and creates spec-compliant MOCs without requiring any external scripts.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A knowledge base has accumulated hundreds of unlinked images that are invisible to navigation.\\nuser: \\\"My vault has tons of PNG screenshots and diagrams that aren't linked anywhere. They're just sitting in an attachments folder.\\\"\\nassistant: \\\"I'll use the moc-agent to identify every orphaned image asset, categorize them by type, and create gallery notes that surface them through the MOC network.\\\"\\n<commentary>\\nInvoke moc-agent for orphaned asset triage — it applies a structured gallery-note pattern that reintegrates visual assets into the vault's navigation without moving files.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: After a large import, MOCs are stale and no longer reflect the current note set.\\nuser: \\\"I just imported 200 notes from Notion. My existing MOCs are out of date and missing most of the new content.\\\"\\nassistant: \\\"I'll use the moc-agent to diff each existing MOC against the current file tree, add missing note links, prune dead links, and flag any topic areas that need a brand-new MOC.\\\"\\n<commentary>\\nUse moc-agent for post-import reconciliation. It audits existing MOCs against live vault content and repairs coverage gaps systematically.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 205}, {"name": "review-agent", "path": "obsidian-ops-team/review-agent.md", "category": "obsidian-ops-team", "type": "agent", "description": "Obsidian vault quality assurance specialist. Use PROACTIVELY for cross-checking enhancement work, validating consistency, and ensuring quality across the vault.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 343}, {"name": "tag-agent", "path": "obsidian-ops-team/tag-agent.md", "category": "obsidian-ops-team", "type": "agent", "description": "Obsidian tag taxonomy specialist. Use PROACTIVELY for normalizing and hierarchically organizing tag taxonomy, consolidating duplicates, and maintaining consistent tagging.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 208}, {"name": "vault-optimizer", "path": "obsidian-ops-team/vault-optimizer.md", "category": "obsidian-ops-team", "type": "agent", "description": "Obsidian vault performance optimization specialist. Use PROACTIVELY for analyzing vault performance, optimizing file sizes, managing large attachments, and improving search indexing.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 221}, {"name": "document-structure-analyzer", "path": "ocr-extraction-team/document-structure-analyzer.md", "category": "ocr-extraction-team", "type": "agent", "description": "Document structure analysis specialist. Use PROACTIVELY for identifying document layouts, analyzing content hierarchy, and mapping visual elements to semantic structure before OCR processing.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 324}, {"name": "markdown-syntax-formatter", "path": "ocr-extraction-team/markdown-syntax-formatter.md", "category": "ocr-extraction-team", "type": "agent", "description": "Markdown formatting specialist. Use PROACTIVELY for converting text to proper markdown syntax, fixing formatting issues, and ensuring consistent document structure.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 333}, {"name": "ocr-grammar-fixer", "path": "ocr-extraction-team/ocr-grammar-fixer.md", "category": "ocr-extraction-team", "type": "agent", "description": "OCR text correction specialist. Use PROACTIVELY for cleaning up and correcting OCR-processed text, fixing character recognition errors, and ensuring proper grammar while maintaining original meaning.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 169}, {"name": "ocr-preprocessing-optimizer", "path": "ocr-extraction-team/ocr-preprocessing-optimizer.md", "category": "ocr-extraction-team", "type": "agent", "description": "OCR preprocessing and image optimization specialist. Use PROACTIVELY for image enhancement, noise reduction, skew correction, and optimizing image quality for maximum OCR accuracy.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 190}, {"name": "ocr-quality-assurance", "path": "ocr-extraction-team/ocr-quality-assurance.md", "category": "ocr-extraction-team", "type": "agent", "description": "OCR pipeline validation specialist. Use PROACTIVELY for final review and validation of OCR-corrected text against original sources, ensuring accuracy and completeness in the correction pipeline.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 189}, {"name": "text-comparison-validator", "path": "ocr-extraction-team/text-comparison-validator.md", "category": "ocr-extraction-team", "type": "agent", "description": "Text comparison and validation specialist. Use PROACTIVELY for comparing extracted text with existing files, detecting discrepancies, and ensuring accuracy between two text sources.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 166}, {"name": "visual-analysis-ocr", "path": "ocr-extraction-team/visual-analysis-ocr.md", "category": "ocr-extraction-team", "type": "agent", "description": "Visual analysis and OCR specialist. Use PROACTIVELY for extracting and analyzing text content from images while preserving formatting, structure, and converting visual hierarchy to markdown.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 229}, {"name": "load-testing-specialist", "path": "performance-testing/load-testing-specialist.md", "category": "performance-testing", "type": "agent", "description": "Load testing and stress testing specialist. Use PROACTIVELY for creating comprehensive load test scenarios, analyzing performance under stress, and identifying system bottlenecks and capacity limits.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 302}, {"name": "performance-engineer", "path": "performance-testing/performance-engineer.md", "category": "performance-testing", "type": "agent", "description": "Profile applications, optimize bottlenecks, and implement caching strategies. Handles load testing, CDN setup, and query optimization. Use PROACTIVELY for performance issues or optimization tasks.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1221}, {"name": "react-performance-optimization", "path": "performance-testing/react-performance-optimization.md", "category": "performance-testing", "type": "agent", "description": "React performance optimization specialist. Use PROACTIVELY for identifying and fixing performance bottlenecks, bundle optimization, rendering optimization, and memory leak resolution.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1197}, {"name": "test-automator", "path": "performance-testing/test-automator.md", "category": "performance-testing", "type": "agent", "description": "Create comprehensive test suites with unit, integration, and e2e tests. Sets up CI pipelines, mocking strategies, and test data. Use PROACTIVELY for test coverage improvement or test automation setup.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 954}, {"name": "web-vitals-optimizer", "path": "performance-testing/web-vitals-optimizer.md", "category": "performance-testing", "type": "agent", "description": "Core Web Vitals optimization specialist. Use PROACTIVELY for improving LCP, FID, CLS, and other web performance metrics to enhance user experience and search rankings.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 382}, {"name": "academic-research-synthesizer", "path": "podcast-creator-team/academic-research-synthesizer.md", "category": "podcast-creator-team", "type": "agent", "description": "Academic research synthesis specialist. Use PROACTIVELY for comprehensive research on academic topics, literature reviews, technical investigations, and well-cited analysis combining multiple sources.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 145}, {"name": "comprehensive-researcher", "path": "podcast-creator-team/comprehensive-researcher.md", "category": "podcast-creator-team", "type": "agent", "description": "Comprehensive research specialist. Use PROACTIVELY for in-depth research on any topic, requiring multiple sources, cross-verification, and structured reports with citations.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 226}, {"name": "episode-orchestrator", "path": "podcast-creator-team/episode-orchestrator.md", "category": "podcast-creator-team", "type": "agent", "description": "Episode workflow orchestrator. Use PROACTIVELY for managing episode-based workflows that coordinate multiple specialized agents in sequence, with payload validation and conditional routing.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 125}, {"name": "guest-outreach-coordinator", "path": "podcast-creator-team/guest-outreach-coordinator.md", "category": "podcast-creator-team", "type": "agent", "description": "Podcast guest outreach and coordination specialist. Use PROACTIVELY for guest research, outreach templates, interview scheduling, pre-interview preparation, and guest relationship management.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 96}, {"name": "market-research-analyst", "path": "podcast-creator-team/market-research-analyst.md", "category": "podcast-creator-team", "type": "agent", "description": "Market research and competitive analysis specialist. Use PROACTIVELY for comprehensive market intelligence, industry trends, competitive analysis, and strategic business insights.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 257}, {"name": "podcast-editor", "path": "podcast-creator-team/podcast-editor.md", "category": "podcast-creator-team", "type": "agent", "description": "Podcast editing and post-production specialist. Use PROACTIVELY for audio editing guidance, show notes creation, chapter markers, timestamp management, and podcast publishing workflows.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 125}, {"name": "podcast-trend-scout", "path": "podcast-creator-team/podcast-trend-scout.md", "category": "podcast-creator-team", "type": "agent", "description": "Podcast trend analysis specialist. Use PROACTIVELY for identifying emerging tech topics, breaking developments, and timely content suggestions for podcast episodes.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 117}, {"name": "project-supervisor-orchestrator", "path": "podcast-creator-team/project-supervisor-orchestrator.md", "category": "podcast-creator-team", "type": "agent", "description": "Project workflow orchestrator. Use PROACTIVELY for managing complex multi-step workflows that coordinate multiple specialized agents in sequence with intelligent routing and payload validation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 451}, {"name": "seo-podcast-optimizer", "path": "podcast-creator-team/seo-podcast-optimizer.md", "category": "podcast-creator-team", "type": "agent", "description": "SEO podcast optimization specialist. Use PROACTIVELY for creating SEO-friendly titles, meta descriptions, and identifying relevant keywords for podcast episodes.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 174}, {"name": "social-media-copywriter", "path": "podcast-creator-team/social-media-copywriter.md", "category": "podcast-creator-team", "type": "agent", "description": "Social media content creation specialist. Use PROACTIVELY for creating Twitter threads, LinkedIn posts, and Instagram captions from podcast episode information for maximum engagement.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 327}, {"name": "twitter-ai-influencer-manager", "path": "podcast-creator-team/twitter-ai-influencer-manager.md", "category": "podcast-creator-team", "type": "agent", "description": "Twitter AI influencer engagement specialist. Use PROACTIVELY for interacting with AI thought leaders, posting AI-focused tweets, analyzing influencer content, and managing AI community engagement.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 173}, {"name": "CSharpExpert", "path": "programming-languages/CSharpExpert.md", "category": "programming-languages", "type": "agent", "description": "An agent designed to assist with software development tasks for .NET projects.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 76}, {"name": "README", "path": "programming-languages/README.md", "category": "programming-languages", "type": "agent", "description": "", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 48}, {"name": "angular-architect", "path": "programming-languages/angular-architect.md", "category": "programming-languages", "type": "agent", "description": "\"Use when architecting enterprise Angular 15+ applications with complex state management, optimizing RxJS patterns, designing micro-frontend systems, or solving performance and scalability challenges in large codebases. Specifically:\\n\\n<example>\\nContext: Large-scale Angular application with 200+ components experiencing performance degradation, memory leaks in RxJS observables, and difficult state management with Redux\\nuser: \\\"Our Angular dashboard has grown to 200+ components, pages load slowly, memory leaks on route changes, and our Redux-like state is unmaintainable. How do we restructure for performance and maintainability?\\\"\\nassistant: \\\"I'll analyze your component architecture and RxJS usage to identify unsubscribed observables and unnecessary change detection cycles. I'll redesign state management with NgRx, implement OnPush change detection strategy, optimize RxJS operators with proper unsubscription patterns, implement lazy loading modules, and add bundle analysis to identify oversized features. I'll create a migration path that can be executed incrementally.\\\"\\n<commentary>\\nUse angular-architect when you have production Angular applications with systemic performance issues, RxJS memory leaks, or state management challenges. This agent excels at diagnosing architectural problems in large codebases and implementing enterprise patterns to fix them.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Building a micro-frontend platform with Module Federation where 8 teams will independently deploy feature modules into a shared shell application\\nuser: \\\"We need to build a micro-frontend architecture using Module Federation. 8 teams will develop independent features that load into a shared shell. We need shared dependencies, version management, and independent deployment strategies.\\\"\\nassistant: \\\"I'll design a Module Federation architecture with a shell application, create shared library modules for common dependencies, implement dynamic remote loading with fallback strategies, design communication patterns between microfrontends using RxJS subjects and services, set up shared state management, and configure deployment pipelines for independent team releases. I'll include version compatibility checks and feature isolation patterns.\\\"\\n<commentary>\\nUse angular-architect when designing micro-frontend systems or multi-team Angular architectures. This agent specializes in enterprise-scale architecture decisions including module federation, shared dependencies, and deployment strategies.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Enterprise application needs upgrade from Angular 12 with legacy patterns to Angular 18 with signals, and adoption of modern reactive patterns\\nuser: \\\"Upgrade our Angular 12 application to Angular 18 with 150+ components, migrate from RxJS subjects to signals, adopt OnPush strategy across the board, and implement new control flow syntax. What's the migration strategy?\\\"\\nassistant: \\\"I'll create a phased migration strategy that converts class components to functional components with signals, implements computed signals for derived state, replaces subject-based state with signal stores, adopts OnPush change detection gradually with testing validation, migrates to new control flow syntax (@if, @for), and updates RxJS patterns to work alongside signals. I'll establish metrics to validate performance improvements at each phase.\\\"\\n<commentary>\\nUse angular-architect when modernizing Angular applications across major version upgrades or adopting new paradigms like signals. This agent designs strategic architectural migrations with minimal disruption and measurable improvements.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 152}, {"name": "c-pro", "path": "programming-languages/c-pro.md", "category": "programming-languages", "type": "agent", "description": "Write efficient C code with proper memory management, pointer arithmetic, and system calls. Handles embedded systems, kernel modules, and performance-critical code. Use PROACTIVELY for C optimization, memory issues, or system programming.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 206}, {"name": "c-sharp-pro", "path": "programming-languages/c-sharp-pro.md", "category": "programming-languages", "type": "agent", "description": "Write idiomatic C# code with modern language features, async patterns, and LINQ. Masters .NET ecosystem, Entity Framework Core, and ASP.NET Core. Use PROACTIVELY for C# optimization, refactoring, or complex .NET solutions.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 321}, {"name": "cpp-pro", "path": "programming-languages/cpp-pro.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when building high-performance C++ systems requiring modern C++20/23 features, template metaprogramming, or zero-overhead abstractions for systems programming, embedded systems, or performance-critical applications. Specifically:\\\\n\\\\n<example>\\\\nContext: Implementing a low-latency trading system that needs custom memory allocators and lock-free data structures.\\\\nuser: \\\"We need a high-frequency trading engine that processes 100k orders/sec with sub-microsecond latency. Requirements include custom memory management and lock-free queues.\\\"\\\\nassistant: \\\"I'll invoke cpp-pro to design lock-free concurrent data structures, implement custom allocators for deterministic performance, profile with perf to eliminate latency jitter, and ensure all zero-copy optimizations are in place. We'll use C++20 coroutines for async order handling and validate with AddressSanitizer.\\\"\\\\n<commentary>\\\\nUse cpp-pro when building latency-critical systems requiring lock-free programming, custom allocators, and zero-copy techniques. This agent handles high-performance concurrency, SIMD optimization, and CPU cache tuning to meet strict performance SLAs.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Refactoring a legacy C++ codebase to modern standards with compile-time safety using concepts.\\\\nuser: \\\"Our C++11 codebase is 500k lines with SFINAE everywhere. How do we modernize to C++20 with concepts and get compile-time safety benefits?\\\"\\\\nassistant: \\\"I'll use cpp-pro to migrate SFINAE to concepts, add designated initializers, implement ranges instead of raw iterators, add comprehensive static analysis, and validate all changes with Clang 18 and GCC 13. We'll set up strict compiler flags and ensure zero UBSan warnings.\\\"\\\\n<commentary>\\\\nUse cpp-pro for modernizing legacy codebases to C++20/23 standards. This agent refactors template code to concepts, applies designated initializers, and ensures C++ Core Guidelines compliance with full static analysis.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Developing an embedded real-time system with strict memory constraints and compile-time guarantees.\\\\nuser: \\\"Building an aerospace control system with 256KB RAM. We need compile-time computation, no dynamic allocation, and real-time guarantees. Can you help with C++20 constexpr?\\\"\\\\nassistant: \\\"I'll invoke cpp-pro to design the system with constexpr computation at build-time, eliminate heap allocation, implement RAII for stack resources, add Valgrind verification, and profile memory usage. We'll use static analysis to guarantee no runtime undefined behavior.\\\"\\\\n<commentary>\\\\nUse cpp-pro for embedded and real-time systems requiring compile-time computation, static memory allocation, and strict safety guarantees. This agent leverages constexpr, templates, and RAII to eliminate runtime costs and undefined behavior.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 249}, {"name": "csharp-developer", "path": "programming-languages/csharp-developer.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when building ASP.NET Core web APIs, cloud-native .NET solutions, or modern C# applications requiring async patterns, dependency injection, Entity Framework optimization, and clean architecture. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a production ASP.NET Core REST API with database integration, authentication, and comprehensive testing.\\\\nuser: \\\"I need to create an ASP.NET Core 8 API with EF Core, JWT authentication, Swagger documentation, and 85%+ test coverage. Should follow clean architecture.\\\"\\\\nassistant: \\\"I'll invoke csharp-developer to design a layered clean architecture with Domain/Application/Infrastructure projects. Implement minimal APIs with route groups, configure EF Core with compiled queries and migrations, add JWT bearer authentication, integrate Swagger/OpenAPI, and create comprehensive xUnit integration tests with TestServer.\\\"\\\\n<commentary>\\\\nUse csharp-developer when building production ASP.NET Core web applications needing proper architectural structure, async database access with EF Core, authentication/authorization, and comprehensive testing. This agent excels at setting up enterprise-grade API infrastructure and enforcing .NET best practices.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Optimizing performance of an existing C# application with memory allocations and async bottlenecks.\\\\nuser: \\\"Our ASP.NET Core API has 500ms p95 response times. We need profiling, optimization of allocations using ValueTask and Span<T>, distributed caching, and performance benchmarks.\\\"\\\\nassistant: \\\"I'll use csharp-developer to profile with Benchmark.NET, refactor to ValueTask patterns, implement Span<T> and ArrayPool for hot paths, add distributed caching with Redis, optimize LINQ queries with compiled expressions, and establish performance regression tests.\\\"\\\\n<commentary>\\\\nInvoke csharp-developer when performance optimization is critical—profiling memory allocations, applying ValueTask/Span patterns, tuning Entity Framework queries, implementing caching strategies, and adding performance benchmarks to track improvements.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Modernizing cross-platform application development with MAUI for desktop and mobile deployment.\\\\nuser: \\\"We're building a .NET MAUI app for Windows, macOS, and iOS. Need proper platform-specific code, native interop, resource management, and deployment strategies for all platforms.\\\"\\\\nassistant: \\\"I'll invoke csharp-developer to structure the MAUI project with platform-specific implementations using conditional compilation, implement native interop for platform APIs, configure resource management for each target platform, set up self-contained deployments, and create platform-specific testing strategies.\\\"\\\\n<commentary>\\\\nUse csharp-developer when developing cross-platform applications with MAUI, needing platform-specific code organization, native interop handling, or multi-target deployment strategies for desktop and mobile platforms.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 73}, {"name": "csharp-dotnet-janitor", "path": "programming-languages/csharp-dotnet-janitor.md", "category": "programming-languages", "type": "agent", "description": "Perform janitorial tasks on C#/.NET code including cleanup, modernization, and tech debt remediation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 58}, {"name": "csharp-mcp-expert", "path": "programming-languages/csharp-mcp-expert.md", "category": "programming-languages", "type": "agent", "description": "Expert assistant for developing Model Context Protocol (MCP) servers in C#", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 63}, {"name": "diffblue-cover", "path": "programming-languages/diffblue-cover.md", "category": "programming-languages", "type": "agent", "description": "Expert agent for creating unit tests for java applications using Diffblue Cover.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 47}, {"name": "django-developer", "path": "programming-languages/django-developer.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building Django 4+ web applications, REST APIs, or modernizing existing Django projects with async views and enterprise patterns. Specifically:\\\\n\\\\n<example>\\\\nContext: Team needs to build a production-ready REST API with JWT authentication, role-based permissions, and async handlers for high-traffic endpoints\\\\nuser: \\\"We're building a real-time notification system using Django REST Framework with WebSockets. Need to handle 10k+ concurrent users with proper authentication and rate limiting.\\\"\\\\nassistant: \\\"I'll architect a scalable solution using Django 4.2, DRF with async views, Celery for background tasks, and Redis for caching. Setting up JWT authentication with custom permissions, WebSocket support via Django Channels, and optimized queries with select_related/prefetch_related patterns.\\\"\\\\n<commentary>\\\\nInvoke this agent when you need expertise in designing and implementing complex Django REST APIs with modern async patterns, authentication, and scaling considerations for production environments.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Legacy Django 2.x application needs performance optimization, migration to Django 4.2, and test coverage improvement\\\\nuser: \\\"Our Django 2.2 app is slow with 300ms response times. We need to migrate to Django 4, add tests, and optimize database queries.\\\"\\\\nassistant: \\\"I'll create a migration plan: upgrade Django incrementally, identify N+1 query problems with django-debug-toolbar, implement select_related/prefetch_related, add pytest-django tests (aiming for 90%+ coverage), and optimize the ORM with proper indexing and caching strategies.\\\"\\\\n<commentary>\\\\nUse this agent for Django modernization projects, performance troubleshooting, query optimization, and establishing testing best practices on existing codebases.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Building a multi-tenant SaaS platform with complex permissions, background job processing, and payment integration\\\\nuser: \\\"Building a SaaS app with multiple customer organizations, usage-based billing via Stripe, background email processing, and fine-grained permissions per tenant.\\\"\\\\nassistant: \\\"I'll implement multi-tenancy using django-organizations or custom middleware, DRF with tenant-scoped viewsets, Celery + Redis for async tasks, Stripe integration for billing webhooks, custom permission classes for tenant isolation, and comprehensive security hardening including CSRF, CORS, and rate limiting.\\\"\\\\n<commentary>\\\\nInvoke when implementing sophisticated Django features like multi-tenancy, payment processing, background job queues, and advanced permission systems that require deep framework knowledge.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 112}, {"name": "dotnet-core-expert", "path": "programming-languages/dotnet-core-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building .NET Core applications requiring cloud-native architecture, high-performance microservices, modern C# patterns, or cross-platform deployment with minimal APIs and advanced ASP.NET Core features. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a microservices platform with multiple .NET 10 services that need cloud-native deployment, health checks, and distributed tracing across services.\\\\nuser: \\\"I need to build a system with 5 microservices in .NET 10 using minimal APIs, each with OpenAPI documentation, containerized deployment, health checks, and distributed tracing. Services must support Kubernetes auto-scaling with graceful shutdown.\\\"\\\\nassistant: \\\"I'll architect your microservices platform with: minimal APIs endpoints using MapGroup for organization, OpenAPI integration with auto-documentation, containerized Dockerfile optimized for .NET 10, Kubernetes manifests with liveness/readiness probes, OpenTelemetry for distributed tracing, and graceful shutdown handlers. Each service will follow clean architecture with dependency injection and 80%+ test coverage.\\\"\\\\n<commentary>\\\\nUse dotnet-core-expert when building cloud-native microservices requiring modern .NET 10 features, cross-platform Kubernetes deployment, distributed system patterns, and high-performance APIs with extensive observability instrumentation.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Migrating legacy ASP.NET Framework application to .NET 10 with need for Native AOT compilation and minimal startup time.\\\\nuser: \\\"We have a large ASP.NET Framework 4.8 application that needs to migrate to .NET 10. Requirements: reduce startup time from 3 seconds to under 500ms, support containerized deployment, and maintain feature parity. Can we use Native AOT?\\\"\\\\nassistant: \\\"I'll execute the migration with: code analysis to identify Framework-specific dependencies, refactor to .NET 10 compatible patterns, implement minimal APIs replacing legacy controllers, configure Native AOT compilation with required IsAotCompatible attributes, add performance benchmarks validating startup improvements, and set up containerized testing with the optimized binary.\\\"\\\\n<commentary>\\\\nInvoke dotnet-core-expert for large-scale migrations from older .NET frameworks to .NET 10, performance optimization through Native AOT, architectural modernization to minimal APIs, and leveraging modern C# features like records and pattern matching.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Building data processing service requiring Entity Framework Core with optimized queries, CQRS pattern, and high-throughput async operations.\\\\nuser: \\\"Our data processing service needs to handle 10k requests/second with Entity Framework Core using async/await, implement CQRS pattern with MediatR, optimize query performance, and maintain 85%+ test coverage with integration tests.\\\"\\\\nassistant: \\\"I'll design the service with: Entity Framework Core with query optimization (select projections, compiled queries), CQRS implementation using MediatR for separation of concerns, async throughout with proper context propagation, repository pattern for data access, xUnit integration tests with TestContainers for realistic database testing, and performance profiling to validate throughput goals.\\\"\\\\n<commentary>\\\\nUse dotnet-core-expert when implementing complex application patterns like CQRS+MediatR, optimizing Entity Framework Core for high-throughput scenarios, or building services requiring sophisticated async patterns and comprehensive testing strategies.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 102}, {"name": "dotnet-framework-4.8-expert", "path": "programming-languages/dotnet-framework-4.8-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when working on legacy .NET Framework 4.8 enterprise applications that require maintenance, modernization, or integration with Windows-based infrastructure. Specifically:\\\\n\\\\n<example>\\\\nContext: User has a legacy ASP.NET Web Forms application running on .NET Framework 4.8 that needs security updates and performance optimization.\\\\nuser: \\\"We have a 10-year-old Web Forms application with ViewState bloat and some outdated security patterns. How can we modernize it without a complete rewrite?\\\"\\\\nassistant: \\\"I'll use the dotnet-framework-4.8-expert agent to analyze the architecture, identify security vulnerabilities, and recommend modernization strategies while maintaining backward compatibility.\\\"\\\\n<commentary>\\\\nSince this involves legacy .NET Framework 4.8 Web Forms with specific modernization constraints, use the dotnet-framework-4.8-expert agent rather than a general C# developer.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is implementing a WCF service that needs to interoperate with legacy Windows services and COM components.\\\\nuser: \\\"We need to create a WCF service that talks to our old COM objects and Windows services. What's the best approach?\\\"\\\\nassistant: \\\"I'll use the dotnet-framework-4.8-expert agent to design the WCF service architecture with proper interop patterns and Windows service integration.\\\"\\\\n<commentary>\\\\nWCF services with COM interop and Windows service integration are specialized concerns within .NET Framework 4.8. Use this agent for legacy Windows integration patterns.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User has an enterprise application running on .NET Framework 4.8 with performance issues and legacy deployment constraints.\\\\nuser: \\\"Our ERP system is running slow on .NET Framework 4.8. We're locked into Windows Server 2012 R2. What optimizations are realistic?\\\"\\\\nassistant: \\\"I'll use the dotnet-framework-4.8-expert agent to identify bottlenecks, optimize database access, tune garbage collection, and work within your framework and infrastructure constraints.\\\"\\\\n<commentary>\\\\nLegacy enterprise applications with Windows infrastructure constraints require understanding of .NET Framework 4.8 specifics, not just general C# knowledge. Use this specialized agent.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 53}, {"name": "elixir-expert", "path": "programming-languages/elixir-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when you need to build fault-tolerant, concurrent systems leveraging OTP patterns, GenServer architectures, and Phoenix framework for real-time applications. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a real-time chat application with WebSocket support, process supervision, and multi-node clustering.\\\\nuser: \\\"I need to create a Phoenix LiveView chat app with custom GenServer state management, WebSocket channels, and the ability to cluster across multiple nodes. What's the best approach?\\\"\\\\nassistant: \\\"I'll invoke elixir-expert to: design a supervision tree with GenServer for message routing, implement Phoenix Channels for WebSocket communication, set up LiveView for real-time UI updates, and configure libcluster for multi-node distribution with fault tolerance.\\\"\\\\n<commentary>\\\\nUse elixir-expert when building distributed, real-time applications that require OTP process management, Phoenix framework integration, and multi-node clustering. This agent specializes in designing supervision trees, implementing GenServer patterns, and optimizing BEAM VM performance for concurrent workloads.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Optimizing a high-throughput data processing pipeline for performance and memory efficiency.\\\\nuser: \\\"We have an Elixir pipeline processing 100K messages/second with memory bottlenecks. How do we optimize for throughput?\\\"\\\\nassistant: \\\"I'll use elixir-expert to: profile with :observer and Benchee, refactor to use Flow for parallel processing, optimize process hibernation, implement ETS caching for hot data, and tune BEAM scheduler settings for maximum throughput.\\\"\\\\n<commentary>\\\\nUse elixir-expert for performance optimization of concurrent systems, stream processing, and BEAM VM tuning. This agent applies profiling techniques, implements Flow/Broadway patterns for parallel data processing, and optimizes memory usage through process hibernation and ETS strategies.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Migrating a Phoenix monolith to a more resilient architecture with proper error handling and observability.\\\\nuser: \\\"Our Phoenix app crashes frequently due to poor error handling and we lack observability. How do we make it production-ready?\\\"\\\\nassistant: \\\"I'll invoke elixir-expert to: implement comprehensive error handling with tagged tuples and 'let it crash' philosophy, add Telemetry instrumentation and Logger configuration, set up supervision strategies for automatic recovery, implement circuit breaker patterns, and integrate LiveDashboard for observability.\\\"\\\\n<commentary>\\\\nUse elixir-expert when building production-ready applications that require robust error handling, observability, and the 'let it crash' philosophy. This agent designs proper Supervisor hierarchies, implements failure recovery patterns, and adds comprehensive monitoring with Telemetry and LiveDashboard.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 55}, {"name": "embedded-systems", "path": "programming-languages/embedded-systems.md", "category": "programming-languages", "type": "agent", "description": "\"Use when developing firmware for resource-constrained microcontrollers, implementing RTOS-based applications, or optimizing real-time systems where hardware constraints, latency guarantees, and reliability are critical. Specifically:\\\\n\\\\n<example>\\\\nContext: A team is building firmware for an STM32F4-based IoT sensor that must operate on battery power for 6 months with strict latency requirements.\\\\nuser: \\\"We need firmware for a temperature/humidity sensor running on STM32F4 with 48KB RAM. Must wake every 30 seconds, take measurements, transmit via LoRaWAN, then sleep to achieve 6-month battery life. Latency-critical interrupt from accelerometer must be handled in under 100 microseconds.\\\"\\\\nassistant: \\\"I'll design this with FreeRTOS for task scheduling, implement low-power sleep modes with configurable wake sources, optimize interrupt handlers for sub-100us response, create efficient sensor drivers with DMA, and profile power consumption to meet your 6-month target. I'll include watchdog protection and robust error recovery for field deployments.\\\"\\\\n<commentary>\\\\nUse this agent when implementing embedded systems with real-time constraints, power management requirements, and resource limitations. This agent handles RTOS configuration, interrupt latency optimization, DMA programming, and battery-aware sleep mode design.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing bare-metal firmware needs conversion to use RTOS for better task management and timing predictability.\\\\nuser: \\\"Our ESP32 control loop runs bare metal with interrupt-driven state machine. We're seeing jitter in timing. Can we refactor to use FreeRTOS with deterministic task scheduling while keeping real-time guarantees?\\\"\\\\nassistant: \\\"I'll migrate your interrupt-driven architecture to FreeRTOS with priority-based task scheduling, implement task synchronization using semaphores, refactor your state machine into a scheduler-friendly task, set up timer callbacks for precise periodic execution, and add stack monitoring. I'll verify timing margins haven't degraded and provide profiling data showing latency improvement.\\\"\\\\n<commentary>\\\\nInvoke this agent when transitioning firmware from bare-metal to RTOS-based architectures. This agent refactors interrupt handlers into tasks, implements proper synchronization, and ensures real-time guarantees are maintained during the transition.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A real-time audio processing system needs optimization to handle high interrupt rates while managing memory efficiently on a limited embedded platform.\\\\nuser: \\\"Building audio DSP on ARM Cortex-M7 with 512KB RAM. Need to process 48kHz stereo with <5ms latency, handle USB audio in/out with DMA ring buffers, and implement real-time filter processing without memory fragmentation.\\\"\\\\nassistant: \\\"I'll design a fixed-size memory pool for audio buffers, implement DMA ring buffers for zero-copy USB streaming, set interrupt priorities to ensure audio ISR preempts non-critical tasks, optimize the DSP filter chains with SIMD intrinsics where available, and add CPU utilization monitoring. I'll stress-test with glitch detection to verify sub-5ms latency.\\\"\\\\n<commentary>\\\\nUse this agent for real-time performance-critical embedded systems requiring low latency, efficient memory management, and complex interrupt coordination. This agent excels at DMA optimization, lock-free buffer design, and ISR tuning to meet strict timing guarantees.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 81}, {"name": "expert-cpp-software-engineer", "path": "programming-languages/expert-cpp-software-engineer.md", "category": "programming-languages", "type": "agent", "description": "Provide expert C++ software engineering guidance using modern C++ and industry best practices.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 74}, {"name": "flutter-expert", "path": "programming-languages/flutter-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building cross-platform mobile applications with Flutter 3+ that require custom UI implementation, complex state management, native platform integrations, or performance optimization across iOS/Android/Web. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a feature-rich social media app that needs custom animations, platform-specific native features (biometric auth, camera), and 60fps performance on both iOS and Android\\\\nuser: \\\"We need a high-performance Flutter app with custom Material You animations, Face ID/fingerprint auth, camera integration, and guaranteed 60fps scrolling. How do we structure this to maintain performance across both platforms?\\\"\\\\nassistant: \\\"I'll architect the app using BLoC for state management to isolate business logic from UI, implement platform channels for biometric and camera access, use RepaintBoundary and const constructors to maintain 60fps performance, create custom widgets for complex animations with proper Tween configurations, and set up comprehensive widget and integration tests. This ensures platform consistency while allowing platform-specific optimizations.\\\"\\\\n<commentary>\\\\nUse flutter-expert when building cross-platform apps that require custom native features, complex animations, and strict performance requirements. This agent specializes in architecture that scales across multiple platforms while maintaining native performance.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Migrating a legacy Flutter 2 app to Flutter 3+ with null safety, modern state management, and refactored widget hierarchy\\\\nuser: \\\"Our Flutter 2 app has unsoundness issues, uses an outdated Provider setup, and has 200+ build methods scattered across monolithic widgets. How do we modernize this to Flutter 3?\\\"\\\\nassistant: \\\"I'll implement a migration plan: first enforce null safety throughout with strict linting, refactor state management to Riverpod 2.0 for better performance and testability, decompose large widgets into focused composable components with proper const constructors, implement feature-based folder structure, add comprehensive widget tests (targeting 80%+ coverage), and set up golden tests for UI consistency.\\\"\\\\n<commentary>\\\\nUse flutter-expert when modernizing Flutter codebases to leverage newer versions, improve architecture, and reduce technical debt. This agent handles complex refactoring that improves both code quality and runtime performance.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Optimizing a Flutter app that's experiencing performance degradation with janky scrolling, high memory usage, and slow app startup\\\\nuser: \\\"Our Flutter shopping app has 120ms frame times during scrolling, uses 500MB memory, and takes 4 seconds to launch. We have ListView with custom widgets rendering thousands of items.\\\"\\\\nassistant: \\\"I'll profile the app using DevTools to identify expensive rebuilds and memory leaks, refactor ListViews to use ListView.builder with const widgets, implement image caching strategies, add RepaintBoundary around expensive widgets, use preload patterns for navigation, profile memory with DevTools to identify retain cycles, and establish performance benchmarks. We'll target 16ms frame times and sub-2s startup.\\\"\\\\n<commentary>\\\\nUse flutter-expert for performance optimization when apps suffer from jank, high memory consumption, or slow startup times. This agent applies DevTools profiling, widget optimization techniques, and platform-specific tuning to achieve native-quality performance.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 200}, {"name": "go-mcp-expert", "path": "programming-languages/go-mcp-expert.md", "category": "programming-languages", "type": "agent", "description": "Expert assistant for building Model Context Protocol (MCP) servers in Go using the official SDK.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 52}, {"name": "golang-pro", "path": "programming-languages/golang-pro.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building Go applications requiring concurrent programming, high-performance systems, microservices, or cloud-native architectures where idiomatic patterns, error handling excellence, and efficiency are critical. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a gRPC-based microservice that handles thousands of concurrent requests with strict latency requirements and needs proper error propagation and graceful shutdown\\\\nuser: \\\"Create a gRPC service in Go that can handle 10k concurrent connections with sub-50ms p99 latency. Need proper context propagation for cancellation, comprehensive error handling with wrapped errors, and graceful shutdown that stops accepting new connections but drains existing ones.\\\"\\\\nassistant: \\\"I'll architect a gRPC service with streaming handlers, context-aware deadlines, wrapped error types for detailed error chains, interceptors for logging/metrics, worker pools for bounded concurrency, and a shutdown coordinator using context cancellation. This ensures low-latency responses, proper error tracing, and clean process termination.\\\"\\\\n<commentary>\\\\nInvoke golang-pro when building Go services where concurrency, error handling, and performance optimization are primary concerns—especially gRPC/REST APIs, microservices, and systems requiring context propagation and resource lifecycle management.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Optimizing a Go backend's data pipeline processing millions of events daily, with memory pressure and CPU hotspots\\\\nuser: \\\"Our Go event processor is hitting memory limits processing 1M events/day. Need to profile memory allocations, reduce GC pressure with object pooling, and benchmark critical paths. Current implementation does full unmarshaling for every event even when we only need a few fields.\\\"\\\\nassistant: \\\"I'll apply performance optimization techniques: use pprof to identify allocation hotspots, implement sync.Pool for frequent object reuse, benchmark processing pipeline with criterion-style comparisons, apply zero-allocation patterns for hot paths, consider using partial unmarshaling with json.Decoder for selective field extraction, and tune GC with GOGC tuning.\\\"\\\\n<commentary>\\\\nUse golang-pro when performance is a primary requirement—optimizing memory usage, reducing CPU load, implementing benchmarks, profiling code, or building systems where latency and throughput matter significantly.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Monorepo with multiple Go services needing shared error handling, logging patterns, and graceful inter-service communication with proper dependency management\\\\nuser: \\\"We have 5 microservices in a monorepo that need consistent error handling, structured logging, and service discovery. How do we organize shared code, manage go.mod dependencies, create reusable interfaces, and ensure all services follow the same patterns without tight coupling?\\\"\\\\nassistant: \\\"I'll structure the monorepo with separate modules for each service plus shared library packages for error types, logging setup, and interfaces. Use go.mod's replace directive for local dependencies, implement functional options pattern for service configuration, define small focused interfaces for service boundaries, and set up table-driven tests that validate all services implement required contracts.\\\"\\\\n<commentary>\\\\nInvoke golang-pro for architectural decisions spanning multiple Go projects, monorepo organization, establishing shared patterns across services, dependency management strategies, or when building frameworks that multiple Go teams will use.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 588}, {"name": "iot-engineer", "path": "programming-languages/iot-engineer.md", "category": "programming-languages", "type": "agent", "description": "\"Use when designing and deploying IoT solutions requiring expertise in device management, edge computing, cloud integration, and handling challenges like massive device scale, complex connectivity scenarios, or real-time data pipelines. Specifically:\\\\n\\\\n<example>\\\\nContext: A smart city project needs to deploy 50,000 sensors across a metropolitan area with cellular and LoRaWAN connectivity, requiring edge processing to reduce cloud costs and real-time anomaly detection.\\\\nuser: \\\"We're building a smart city platform with 50,000 environmental sensors. We need hybrid connectivity (4G and LoRaWAN), edge gateways for data filtering, cloud data pipelines processing 100K messages/sec, and predictive maintenance analytics. How do we architect this?\\\"\\\\nassistant: \\\"I'll design a three-tier IoT architecture: device layer with LoRaWAN and 4G provisioning, edge layer with local aggregation and filtering reducing cloud traffic by 70%, and cloud tier with stream processing and analytics. I'll implement AWS IoT Core with device shadows for state management, edge Lambda functions for local ML inference, and Kinesis for real-time processing. This reduces cloud costs by 67% while achieving sub-second alerting on anomalies.\\\"\\\\n<commentary>\\\\nUse this agent when designing large-scale IoT deployments with 10,000+ devices, multiple connectivity types, edge processing requirements, and real-time analytics needs. This agent excels at architecture spanning device-to-cloud with cost optimization.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A manufacturing company has 5,000 IoT devices collecting sensor data but struggles with device failures, missed updates, and inconsistent data quality. They need improved device management and reliability.\\\\nuser: \\\"Our manufacturing fleet has 5,000 devices sending telemetry. We have 2% unplanned downtime due to device failures, sporadic firmware update failures, and data quality issues. We need better device management, OTA updates, and monitoring. Current uptime target is 99.9%.\\\"\\\\nassistant: \\\"I'll implement a comprehensive device management solution: automated provisioning with certificate-based auth, staged OTA updates with rollback capability, health monitoring with predictive failure detection, and data quality validation pipelines. I'll set up Azure IoT Hub for centralized management, implement device twins for state tracking, add anomaly detection to predict failures 7 days in advance, and create automated remediation workflows. This achieves 99.95% uptime with zero unplanned downtime.\\\"\\\\n<commentary>\\\\nInvoke this agent when existing IoT deployments need reliability improvements, device management hardening, OTA update strategies, or predictive maintenance implementation. This agent focuses on operational excellence and system stability.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An agricultural IoT startup is building a soil moisture and weather monitoring platform for farms but struggles with battery life, network coverage in rural areas, and processing high-frequency sensor streams efficiently.\\\\nuser: \\\"We have 10,000 soil sensors deployed on farms. Each collects temperature, humidity, and moisture every 60 seconds. Cellular coverage is spotty in rural areas, batteries must last 18 months, and farmers need real-time insights. Our cloud costs are unsustainable.\\\"\\\\nassistant: \\\"I'll architect a distributed solution with LoRaWAN for reliable rural coverage and ultra-low-power consumption, edge gateways aggregating data locally reducing cloud traffic by 95%, and intelligent batching protocols extending battery life to 24 months. I'll implement edge ML models predicting irrigation needs, reducing unnecessary data transmission. ThingsBoard handles device management and visualization, with local rule engines triggering alerts before data reaches cloud. This reduces bandwidth 95% and cuts cloud costs by 78%.\\\"\\\\n<commentary>\\\\nUse this agent for power-constrained IoT deployments with limited connectivity, high sensor densities, and the need for edge intelligence. This agent specializes in battery optimization, protocol selection, and edge processing to handle scale and cost challenges.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 69}, {"name": "java-architect", "path": "programming-languages/java-architect.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when designing enterprise Java architectures, migrating Spring Boot applications, or establishing microservices patterns for scalable cloud-native systems. Specifically:\\\\n\\\\n<example>\\\\nContext: A team needs to refactor a monolithic Spring application into microservices with proper service boundaries and inter-service communication.\\\\nuser: \\\"We need to design a microservices architecture for our legacy Spring Boot monolith with 15 services. Current bottlenecks are the shared database and tightly coupled modules.\\\"\\\\nassistant: \\\"I'll analyze your current architecture, design service boundaries using domain-driven design, establish API contracts with OpenAPI specs, implement Spring Cloud patterns (API Gateway, Circuit Breakers with Resilience4j), and set up event-driven communication using Kafka. We'll also establish database per service strategy and create comprehensive test contracts.\\\"\\\\n<commentary>\\\\nUse the java-architect when redesigning application structure or establishing new architectural patterns at the system level. This agent excels at breaking down monoliths and designing distributed systems.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company is upgrading to the latest Java LTS version and wants to leverage modern language features while modernizing their tech stack.\\\\nuser: \\\"We're on Java 11 with Spring Boot 2.7 and want to move to Java 21 with Spring Boot 3.3. Should we use virtual threads, records, and reactive programming?\\\"\\\\nassistant: \\\"I'll guide your migration plan: upgrade to Spring Boot 3.3 with native image support, introduce records for data carriers, implement virtual threads for improved throughput on I/O-bound services, evaluate WebFlux for APIs needing high concurrency, and set up GraalVM compilation for faster startup times.\\\"\\\\n<commentary>\\\\nInvoke the java-architect for technology stack decisions and major version upgrades. This agent evaluates trade-offs between modern features and your application requirements.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A startup needs to establish development standards for a new multi-module Spring Boot platform being built by distributed teams.\\\\nuser: \\\"We're building a new payment processing platform in Java. What architectural decisions should we make now to handle 1000 TPS and ensure 99.99% uptime?\\\"\\\\nassistant: \\\"I'll establish enterprise architecture patterns: implement hexagonal architecture with CQRS for event sourcing, set up comprehensive testing strategy (unit, integration with TestContainers, contract, performance with JMH), establish Spring Security with OAuth2, configure distributed tracing with Micrometer, and design for multi-tenancy from day one. This includes CI/CD pipeline design and cloud-native deployment readiness.\\\"\\\\n<commentary>\\\\nUse java-architect when building new systems that need to scale or when establishing architectural foundations for platforms. This agent prevents technical debt by designing for production requirements upfront.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 159}, {"name": "javascript-pro", "path": "programming-languages/javascript-pro.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when you need to build, optimize, or refactor modern JavaScript code for browser, Node.js, or full-stack applications requiring ES2025 features, async patterns, or performance-critical implementations. Specifically:\\\\n\\\\n<example>\\\\nContext: User has a legacy callback-based Node.js service and wants to modernize it with async/await, implement proper error handling, and optimize memory usage.\\\\nuser: \\\"I have an old Node.js service with callback hell. Can you refactor it to use modern async/await patterns and add proper error handling?\\\"\\\\nassistant: \\\"I'll use the javascript-pro agent to analyze your existing code structure, migrate to async/await patterns, optimize memory management, and ensure comprehensive error handling following modern JavaScript best practices.\\\"\\\\n<commentary>\\\\nUse javascript-pro when the task involves modernizing JavaScript code to leverage ES2025 features, async patterns, and performance optimization. This agent handles refactoring across both browser and Node.js environments with focus on clean, maintainable patterns.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is building a performance-critical browser application with complex state management, event handling, and needs to implement Web Workers for heavy computation.\\\\nuser: \\\"I need help building a real-time analytics dashboard with Web Workers for data processing and optimized DOM updates. It needs to handle 1000s of data points.\\\"\\\\nassistant: \\\"I'll invoke the javascript-pro agent to architect the data flow with proper async coordination, implement Web Workers for computation offload, optimize DOM updates with event delegation, and ensure sub-16ms render performance.\\\"\\\\n<commentary>\\\\nUse javascript-pro for browser applications requiring advanced JavaScript patterns like Web Workers, performance optimization, and sophisticated asynchronous coordination. The agent specializes in avoiding common pitfalls like memory leaks and janky rendering.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User has a full-stack Node.js and browser codebase that needs testing infrastructure, proper JSDoc type coverage, and wants to leverage shared module patterns across frontend and backend.\\\\nuser: \\\"Set up comprehensive testing with Vitest, add JSDoc types for type safety, and create shared utilities that work in both Node.js and the browser.\\\"\\\\nassistant: \\\"I'll use the javascript-pro agent to configure Vitest with proper mocking strategies, add JSDoc type annotations for the entire codebase, establish shared module patterns using ESM, and ensure 85%+ coverage with integration tests.\\\"\\\\n<commentary>\\\\nUse javascript-pro for full-stack JavaScript projects needing testing infrastructure, type safety with JSDoc, module architecture, and cross-environment compatibility. The agent understands both browser APIs (DOM, Fetch, Service Workers) and Node.js internals (Streams, Worker Threads, EventEmitter).\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1468}, {"name": "kotlin-specialist", "path": "programming-languages/kotlin-specialist.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building Kotlin applications requiring advanced coroutine patterns, multiplatform code sharing, or Android/server-side development with functional programming principles. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a cross-platform mobile application sharing business logic between Android and iOS using Kotlin Multiplatform Mobile (KMM)\\\\nuser: \\\"We're creating a social media app targeting both Android and iOS. How do we structure a KMM project to maximize shared code while maintaining platform-specific UI in Compose and SwiftUI?\\\"\\\\nassistant: \\\"I'll architect your KMM project with: shared business logic in common module using coroutines for networking, database layer with SQLite, and state management with MVI pattern. Android gets Jetpack Compose UI consuming shared ViewModels, iOS uses Swift wrappers around Kotlin code. Expected 70-80% code sharing with proper expect/actual boundaries for platform APIs.\\\"\\\\n<commentary>\\\\nUse kotlin-specialist when building cross-platform mobile applications with Kotlin Multiplatform Mobile. This agent structures gradle multiplatform builds, designs expect/actual abstractions for platform APIs, and ensures efficient code sharing between iOS/Android while maintaining idiomatic platform-specific UIs.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Migrating legacy Android codebase to modern Kotlin with coroutines, Room database, and proper dependency injection\\\\nuser: \\\"Our Android app is 8 years old, written in Java with callback hell, no tests, and tight coupling. Can we modernize it to Kotlin with coroutines and architecture patterns without rewriting everything?\\\"\\\\nassistant: \\\"I'll execute a phased modernization: convert Java to Kotlin incrementally, replace callbacks with Flow-based coroutines for networking/database, implement MVVM with StateFlow, add Hilt for dependency injection, introduce Room with async migrations, and establish test framework with JUnit 5 and MockK. Each layer gets refactored with comprehensive tests.\\\"\\\\n<commentary>\\\\nInvoke kotlin-specialist for modernizing existing Android/Java codebases to Kotlin best practices. This agent handles incremental migrations preserving functionality while introducing coroutines, modern architecture patterns, and comprehensive testing frameworks.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Building a high-performance backend service using Ktor with complex business logic requiring functional programming patterns\\\\nuser: \\\"We need a Ktor backend for our API handling 10k requests/sec with complex validation pipelines, composed functional transformations, and strict type safety. How should we structure this?\\\"\\\\nassistant: \\\"I'll design a Ktor service leveraging: Arrow.kt for functional error handling and monadic compositions, Domain-Driven Design with sealed classes for business logic, Flow API for reactive pipelines, structured concurrency for request handling, and comprehensive integration tests with Kotest. Architecture uses functional composition for validation chains and type-safe builders for DSLs.\\\"\\\\n<commentary>\\\\nUse kotlin-specialist when building server-side applications requiring advanced functional programming, complex business logic transformations, or reactive pipelines. This agent applies Arrow.kt monadic patterns, creates expressive DSLs, and structures coroutine-based architectures for high-throughput services.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 153}, {"name": "laravel-specialist", "path": "programming-languages/laravel-specialist.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building Laravel 10+ applications, architecting Eloquent models with complex relationships, implementing queue systems for async processing, or optimizing API performance. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a new Laravel 10 SaaS application from scratch with multi-tenancy, real-time features, and complex database design\\\\nuser: \\\"I need to build a Laravel 10 SaaS platform for task management. Requirements: multi-tenant architecture, real-time notifications via WebSockets, background job processing, Eloquent models with complex relationships, comprehensive API with rate limiting, and 90%+ test coverage.\\\"\\\\nassistant: \\\"I'll architect the complete Laravel application: design multi-tenant database schema with scoped Eloquent models, implement Scout full-text search, set up Laravel Echo with WebSockets for real-time updates, configure Horizon for queue management with job batching, create API resources with pagination and filtering, implement Sanctum authentication with rate limiting, write comprehensive Pest tests (90%+ coverage), and optimize with eager loading and caching strategies.\\\"\\\\n<commentary>\\\\nInvoke laravel-specialist when building complete Laravel applications from scratch requiring architectural decisions around database design, multi-tenancy, API structure, queue systems, and production-ready patterns. This agent excels at coordinating Laravel's ecosystem components (Eloquent, Horizon, Echo, Sanctum) into cohesive applications.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Existing Laravel application experiencing severe N+1 query problems, slow response times, and needs performance optimization without rewriting\\\\nuser: \\\"Our Laravel app has pages taking 5+ seconds to load due to N+1 query problems. We have deeply nested Eloquent relationships, missing indexes, and no caching. How do we profile and optimize without major refactoring?\\\"\\\\nassistant: \\\"I'll implement Laravel performance optimization: use Laravel Debugbar and Clockwork to identify N+1 queries, apply eager loading strategies with include/with, add missing database indexes through migrations, implement Redis caching with cache facades, set up query scopes for optimization, use selectRaw for expensive aggregations, enable query log in production safely, and benchmark critical endpoints before/after optimizations.\\\"\\\\n<commentary>\\\\nUse laravel-specialist for performance troubleshooting in existing Laravel applications, specifically addressing N+1 query problems, database optimization, caching strategies, and query profiling. This agent applies Laravel-specific optimization patterns including eager loading, database indexing through migrations, and proper cache invalidation.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Legacy Laravel 6 application needs modernization to Laravel 10 with async queues and newer patterns\\\\nuser: \\\"We have a Laravel 6.x app with 200k LOC. Need to upgrade to Laravel 10 incrementally while keeping production stable. Also need to migrate from queue database driver to Redis and adopt newer patterns like Actions and Jobs.\\\"\\\\nassistant: \\\"I'll create a phased modernization plan: establish comprehensive Pest test coverage, upgrade Laravel incrementally (6 to 7, 7 to 8, 8 to 9, 9 to 10), address deprecations in each phase, migrate from database queue to Redis, refactor controllers into Action classes and API resources, implement proper error handling with custom exceptions, update authentication to Sanctum, and set up CI/CD with Laravel Pint and PHPStan for code quality.\\\"\\\\n<commentary>\\\\nInvoke laravel-specialist for major Laravel version upgrades, modernizing legacy applications, integrating new queue drivers, and adopting contemporary Laravel patterns (Actions, Casts, custom middleware) while managing production stability and preventing regressions.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 133}, {"name": "microsoft-agent-framework-python", "path": "programming-languages/microsoft-agent-framework-python.md", "category": "programming-languages", "type": "agent", "description": "Create, update, refactor, explain or work with code using the Python version of Microsoft Agent Framework.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 59}, {"name": "mongodb-performance-advisor", "path": "programming-languages/mongodb-performance-advisor.md", "category": "programming-languages", "type": "agent", "description": "Analyze MongoDB database performance, offer query and index optimization insights and provide actionable recommendations to improve overall usage of the database.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 65}, {"name": "nextjs-developer", "path": "programming-languages/nextjs-developer.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when building production Next.js 14+ applications that require full-stack development with App Router, server components, and advanced performance optimization. Invoke when you need to architect or implement complete Next.js applications, optimize Core Web Vitals, implement server actions and mutations, or deploy SEO-optimized applications. Specifically:\\\\n\\\\n<example>\\\\nContext: A startup is building an e-commerce platform and needs a complete Next.js 14 implementation with server-side rendering, database integration, and Lighthouse score > 95.\\\\nuser: \\\"Build a Next.js e-commerce app with product catalog, shopping cart, checkout flow, and real-time inventory updates. Need server components for SEO, App Router structure, and Core Web Vitals > 90.\\\"\\\\nassistant: \\\"I'll architect this as a complete Next.js application. I'll design the App Router with route groups for organization, implement server components for product pages and SEO, create server actions for cart and checkout operations, optimize images and fonts, configure ISR for product listings, and set up monitoring to achieve your Lighthouse targets. I'll also implement database integration with Prisma and edge runtime compatibility.\\\"\\\\n<commentary>\\\\nUse nextjs-developer when building complete Next.js applications from architecture through deployment, especially when you need to optimize for search engines, implement server-side rendering, and achieve strict performance budgets. This agent handles the full stack including API routes, database integration, and production deployment.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An existing React SPA needs to be migrated to Next.js 14 for better SEO and initial page load performance, with existing backend APIs to integrate with.\\\\nuser: \\\"Migrate our React SPA to Next.js 14. We have existing REST APIs at /api/v1 and need to maintain feature parity while improving SEO and first paint time.\\\"\\\\nassistant: \\\"I'll design a Next.js App Router structure that maps to your existing React components, implement server components for page templates to improve SEO, create API route middleware to proxy your existing endpoints, set up server-side data fetching with proper cache invalidation, and configure preview deployments for testing. I'll ensure zero-downtime migration and maintain all existing features while optimizing Core Web Vitals.\\\"\\\\n<commentary>\\\\nInvoke nextjs-developer when migrating existing applications to Next.js or when adding server-side rendering to frontend-only applications. This agent excels at integrating with existing backend APIs and optimizing for performance during migration.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A high-traffic SaaS application needs optimization—pages are slow, SEO metrics are poor, and the team needs to implement real-time features without rebuilding from scratch.\\\\nuser: \\\"Our Next.js app averages 3.5s LCP and we're ranking poorly in search. Need real-time notifications, improved performance, and better SEO. Currently using client-side routing and data fetching.\\\"\\\\nassistant: \\\"I'll audit your architecture and optimize it by migrating suitable components to server components, implementing streaming SSR for faster First Contentful Paint, configuring incremental static regeneration for SEO-critical pages, optimizing images and scripts, setting up server actions for real-time mutations, and implementing WebSocket support for notifications. I'll create a phased migration plan to achieve > 90 Lighthouse scores while adding real-time features.\\\"\\\\n<commentary>\\\\nUse nextjs-developer for performance optimization and architectural improvements to existing Next.js applications. This agent diagnoses performance bottlenecks and implements Next.js 14+ patterns like server components and streaming to improve metrics without full rewrites.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 261}, {"name": "php-pro", "path": "programming-languages/php-pro.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when working with PHP 8.3+ projects that require strict typing, modern language features, and enterprise framework expertise (Laravel or Symfony). Use when building scalable applications, optimizing performance, or requiring async/Fiber patterns. Specifically:\\\\n\\\\n<example>\\\\nContext: Developer needs to refactor a legacy PHP codebase to PHP 8.3 with strict types and modern patterns.\\\\nuser: \\\"I have a Laravel 10 project that's still using mixed types and older patterns. Can you help upgrade to PHP 8.3 with strict typing?\\\"\\\\nassistant: \\\"I'll analyze your Laravel project structure, identify upgrade opportunities, and refactor to PHP 8.3 with full strict type support, readonly properties, enums, and modern patterns while maintaining backward compatibility during migration.\\\"\\\\n<commentary>\\\\nUse php-pro when the task involves upgrading existing PHP codebases to modern PHP standards, strict typing, and framework-specific patterns. This is a core use case for architecture improvements.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Building a high-performance API with async job processing in Laravel.\\\\nuser: \\\"We need to implement async job processing with Swoole for our API to handle 10k requests per second. Can you design this?\\\"\\\\nassistant: \\\"I'll architect a Swoole-based queue system with Fiber coroutines, implement async job batching, optimize Eloquent queries with eager loading, configure OpCache, and set up performance monitoring to meet your throughput requirements.\\\"\\\\n<commentary>\\\\nUse php-pro when you need expertise in async programming patterns, Swoole/ReactPHP, Fiber implementation, or performance optimization for high-traffic PHP applications.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Ensuring code quality and security in a Symfony project with PHPStan analysis.\\\\nuser: \\\"Our Symfony project has technical debt. Can you enforce PHPStan level 9, improve test coverage, and fix security issues?\\\"\\\\nassistant: \\\"I'll run PHPStan analysis, implement strict type declarations across services and entities, increase test coverage to 85%+, audit dependencies for vulnerabilities, and apply SOLID principles to reduce complexity.\\\"\\\\n<commentary>\\\\nUse php-pro when you need to improve code quality, achieve high PHPStan levels, implement security best practices, or enforce PSR standards and design patterns in enterprise applications.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 633}, {"name": "powershell-5.1-expert", "path": "programming-languages/powershell-5.1-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use when automating Windows infrastructure tasks requiring PowerShell 5.1 scripts with RSAT modules for Active Directory, DNS, DHCP, GPO management, or when building safe, enterprise-grade automation workflows in legacy .NET Framework environments. Specifically:\\\\n\\\\n<example>\\\\nContext: Enterprise needs to automate bulk user creation and AD group membership from a CSV file with rollback capability and comprehensive logging.\\\\nuser: \\\"I need a PowerShell script to create 500 users from a CSV, add them to appropriate security groups, enable their accounts, and set initial passwords. Must have rollback support and detailed audit logging.\\\"\\\\nassistant: \\\"I'll create a production-safe PowerShell 5.1 script using RSAT ActiveDirectory module with: parameter validation, try-catch error handling, -WhatIf/-Confirm support for preview mode, pre-checks for group existence and user duplication, detailed transcription logging, and a rollback function to remove created objects. The script will validate domain membership and permissions before execution.\\\"\\\\n<commentary>\\\\nInvoke powershell-5.1-expert when you need to write safe, auditable PowerShell automation for AD operations with enterprise-grade error handling, logging, and rollback capabilities. This agent excels at building reliable scripts for infrastructure teams operating in Windows-only environments.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: DNS infrastructure team needs to batch-update DNS records across multiple zones with change validation and automatic rollback if issues detected.\\\\nuser: \\\"We need to update CNAME records for a service migration across 3 DNS zones. Must verify records update correctly and rollback automatically if validation fails.\\\"\\\\nassistant: \\\"I'll build a PowerShell 5.1 script using DnsServer RSAT module with: zone-by-zone record enumeration, backup exports before changes, dynamic PowerShell remoting to DNS servers, post-update validation via DNS queries, conditional rollback logic, and verbose logging. Each zone update will use -WhatIf preview before execution with approval gates.\\\"\\\\n<commentary>\\\\nUse powershell-5.1-expert for infrastructure change automation that requires careful validation, pre-flight checks, and safe rollback mechanisms. The agent specializes in multi-step workflows with error detection and enterprise safety patterns.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Windows Server team manages DHCP across multiple sites and needs automated scope management, reservation validation, and compliance reporting.\\\\nuser: \\\"Create a script to manage DHCP scopes and reservations across 5 sites, validate that reservations match our hardware inventory, and generate compliance reports.\\\"\\\\nassistant: \\\"I'll design a comprehensive PowerShell 5.1 automation using DhcpServer module with: multi-site scope enumeration via PowerShell remoting, reservation validation against inventory database, automatic scope backup, compliance report generation with CSV export, scheduled execution via task scheduler, and email notifications for failures. Includes verbose transcript logging for audit trails.\\\"\\\\n<commentary>\\\\nInvoke powershell-5.1-expert when you need to build repeatable, auditable infrastructure automation that must survive in legacy Windows environments without PowerShell 7+ features, and requires enterprise-grade logging and operational safety.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 59}, {"name": "powershell-7-expert", "path": "programming-languages/powershell-7-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building cross-platform cloud automation scripts, Azure infrastructure orchestration, or CI/CD pipelines requiring PowerShell 7+ with modern .NET interop, idempotent operations, and enterprise-grade error handling. Specifically:\\\\n\\\\n<example>\\\\nContext: Team needs to automate Azure VM lifecycle management across multiple subscriptions with proper logging and error recovery.\\\\nuser: \\\"Create PowerShell scripts to provision, configure, and decommission Azure VMs across 5 subscriptions. Need idempotent operations, comprehensive logging, and -WhatIf/-Confirm support for safety.\\\"\\\\nassistant: \\\"I'll build a PowerShell 7 automation suite using Az module with subscription context handling, implement idempotent patterns with resource existence checks, add structured logging via Write-Host/Error, support -WhatIf/-Confirm parameters for safety, and include error recovery with retry logic and proper authentication using Managed Identity.\\\"\\\\n<commentary>\\\\nUse powershell-7-expert for cloud automation requiring multi-tenant orchestration, subscription/tenant context management, and enterprise safety patterns like WhatIf support and comprehensive error handling. This agent handles Azure-specific patterns and modern .NET interop.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Building GitHub Actions workflows that need cross-platform (Windows, Linux, macOS) CI/CD automation with complex orchestration logic.\\\\nuser: \\\"Set up GitHub Actions workflows using PowerShell that run on Windows, Linux, and macOS runners. Need to handle artifact management, environment-specific configurations, and integration with Azure DevOps.\\\"\\\\nassistant: \\\"I'll architect GitHub Actions workflows leveraging PowerShell 7's cross-platform capabilities: use $PSVersionTable and platform detection for environment-specific logic, implement artifact handling with consistent paths across OSes, create environment-specific config files, integrate Azure DevOps APIs via PowerShell SDK, and add comprehensive logging for CI/CD debugging.\\\"\\\\n<commentary>\\\\nUse powershell-7-expert when building CI/CD pipelines that require PowerShell's cross-platform capabilities and complex orchestration logic. This agent applies PowerShell 7 features like pipeline operators, null-coalescing, and modern exception handling for production-ready pipelines.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Enterprise needs advanced M365/Graph API automation for user provisioning and Teams governance across complex organizational hierarchies.\\\\nuser: \\\"Implement PowerShell automation for Graph API to provision M365 users, set up Teams, manage group memberships, and enforce governance policies. Need performance optimization for large-scale operations (10k+ users).\\\"\\\\nassistant: \\\"I'll build high-performance Graph API automation using PowerShell 7: parallelize user provisioning with ForEach-Object -Parallel, implement batch operations for efficiency, use .NET 6/7 HttpClient for Graph API calls, add comprehensive error handling with custom exception classes, cache authentication tokens, and implement retry logic with exponential backoff for reliability.\\\"\\\\n<commentary>\\\\nUse powershell-7-expert for enterprise M365/Graph automation requiring high performance, parallel processing, and modern .NET interop. This agent applies PowerShell 7 parallelism features and handles complex Graph API scenarios with proper rate limiting and batching.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 80}, {"name": "powershell-module-architect", "path": "programming-languages/powershell-module-architect.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when architecting and refactoring PowerShell modules, designing profile systems, or creating cross-version compatible automation libraries. Invoke it for module design reviews, profile optimization, packaging reusable code, and standardizing function structure across teams. Specifically:\\\\n\\\\n<example>\\\\nContext: DevOps team has dozens of standalone PowerShell scripts handling AD, DNS, and DHCP tasks. Leadership wants these consolidated into a maintainable module for the infrastructure team.\\\\nuser: \\\"We have 40+ PowerShell scripts scattered across shared drives. We need to consolidate them into a proper module with proper structure, documentation, and versioning.\\\"\\\\nassistant: \\\"I'll design a comprehensive module architecture with: public/private function separation, manifest with metadata and dependencies, helper library for shared logic, consistent error handling patterns, -WhatIf support, and organized dot-sourcing structure. I'll also create a migration checklist to refactor existing scripts into the module while maintaining backward compatibility.\\\"\\\\n<commentary>\\\\nInvoke powershell-module-architect when you need to transform fragmented scripts into a professionally structured, documented module. This agent excels at designing the overall module layout, establishing naming conventions, and planning the refactoring strategy.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Company standardized on PowerShell 7+ but has teams still using PowerShell 5.1 on legacy servers. Need a shared utility library that works across both versions.\\\\nuser: \\\"We need a helper library for common Active Directory and DNS operations that works on both PowerShell 5.1 and 7+. Our teams use both versions.\\\"\\\\nassistant: \\\"I'll design a cross-version compatible module using capability detection at module load time, version-specific code paths for features only in 7+, backward-compatible syntax throughout, comprehensive version checks in the manifest, and documented migration guidance for when teams upgrade. The module will gracefully degrade on 5.1 while using modern features when available.\\\"\\\\n<commentary>\\\\nUse powershell-module-architect when you need to design libraries that bridge version gaps across an organization. The agent specializes in compatibility strategy, version detection patterns, and designing modules that work reliably in heterogeneous environments.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Organization wants all engineers to have a consistent, fast-loading PowerShell profile with team-specific tools and shortcuts, but without bloating startup time.\\\\nuser: \\\"We need to design a standard profile for our infrastructure team that includes shortcuts for common tasks but doesn't slow down shell startup. Currently people have messy profile scripts everywhere.\\\"\\\\nassistant: \\\"I'll design a modular profile system with: lazy-import structure for heavy modules, separate config for core/utilities/shortcuts, efficient prompt function, per-machine customization capability, documentation for team members to add their own tools, and load-time optimization patterns. This keeps shell startup fast while providing ergonomic shortcuts.\\\"\\\\n<commentary>\\\\nInvoke powershell-module-architect when designing profile systems or organizational standardization. The agent will create the architecture, load-time strategies, and extensibility patterns that let teams standardize without performance penalties.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 62}, {"name": "powershell-ui-architect", "path": "programming-languages/powershell-ui-architect.md", "category": "programming-languages", "type": "agent", "description": "\"Use when designing or building desktop graphical interfaces (WinForms, WPF, Metro-style dashboards) or terminal user interfaces (TUIs) for PowerShell automation tools that need clean separation between UI and business logic. Specifically:\\\\n\\\\n<example>\\\\nContext: IT team has a mature Active Directory automation module but users are currently running commands from plain PowerShell. They want a GUI frontend so helpdesk staff can manage common AD operations safely without script knowledge.\\\\nuser: \\\"We have a well-structured PowerShell module for AD user provisioning and group management. Can you build a WinForms interface so our helpdesk can use it without command-line knowledge?\\\"\\\\nassistant: \\\"I'll design a WinForms UI that wraps your AD module with clear controls for user creation, group assignment, and password reset. The UI will include input validation, error handling with user-friendly messages, progress indicators for long-running operations, and audit logging that feeds into your existing module.\\\"\\\\n<commentary>\\\\nInvoke the powershell-ui-architect when you need to create a desktop GUI wrapper around existing PowerShell automation logic. This agent specializes in separating concerns so the UI is thin and the business logic remains pure and testable.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Operations team monitors multiple servers and needs a real-time dashboard displaying health metrics, alerts, and quick-action tiles for common administrative tasks.\\\\nuser: \\\"Build a modern dashboard using WPF and MahApps.Metro to display server health, CPU/memory usage, and tiles for common ops tasks like service restart or log collection. It needs theme support and should look professional.\\\"\\\\nassistant: \\\"I'll architect a Metro-style WPF dashboard with: tiles and flyouts for task access, real-time metrics binding to your PowerShell data providers, accent color theming support, background workers for non-blocking updates, and clean MVVM separation. Each tile will trigger your PowerShell modules securely.\\\"\\\\n<commentary>\\\\nUse the powershell-ui-architect for modern, polished UIs with professional appearance requirements. The agent excels at Metro design patterns, theming, and building dashboards that look enterprise-grade while maintaining maintainable code structure.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Automation scripts need to run on remote servers where graphical environments aren't available, but users need interactive menu-driven interfaces for safe task selection.\\\\nuser: \\\"Create a terminal menu system for our remote server automation where operators can select tasks, see status updates, and confirm actions. No GUI possible in these environments.\\\"\\\\nassistant: \\\"I'll build a resilient TUI using PowerShell console APIs with clear menu navigation, keyboard shortcuts for experienced users, input validation with helpful prompts, status indicators using text formatting, and graceful handling of terminal size constraints. The TUI will safely invoke your core automation modules.\\\"\\\\n<commentary>\\\\nInvoke the powershell-ui-architect for TUI design when graphical environments aren't available or when automation runs on headless systems. The agent designs accessible text-based interfaces that guide users safely through complex operations.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 52}, {"name": "python-mcp-expert", "path": "programming-languages/python-mcp-expert.md", "category": "programming-languages", "type": "agent", "description": "Expert assistant for developing Model Context Protocol (MCP) servers in Python", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 103}, {"name": "python-pro", "path": "programming-languages/python-pro.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when you need to build type-safe, production-ready Python code for web APIs, system utilities, or complex applications requiring modern async patterns and extensive type coverage. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a new REST API service that needs strict type safety, async database access, and comprehensive test coverage.\\\\nuser: \\\"I need to create a FastAPI service with SQLAlchemy async ORM, Pydantic validation, and 90%+ test coverage. Can you help?\\\"\\\\nassistant: \\\"I'll invoke the python-pro agent to design and implement your FastAPI service with full type hints, async context managers, comprehensive error handling, and pytest fixtures for 95% test coverage.\\\"\\\\n<commentary>\\\\nUse python-pro when building web services with FastAPI, Django, or Flask that require modern async patterns, type safety, and production-ready code quality. This agent specializes in setting up complete project architecture including ORM integration, validation, and testing frameworks.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Migrating legacy Python code to Python 3.12+ with full type coverage and async refactoring.\\\\nuser: \\\"We have a large Python 2.7 codebase with no type hints. How do we modernize this to 3.12+ with type safety?\\\"\\\\nassistant: \\\"I'll use the python-pro agent to: analyze the codebase structure, add comprehensive type annotations, refactor blocking I/O to async/await, implement dataclasses for data structures, and add Mypy strict mode validation.\\\"\\\\n<commentary>\\\\nUse python-pro when modernizing codebases to leverage Python 3.12+ features like async generators, pattern matching, and strict typing. This agent handles incremental migration with proper pattern application and comprehensive testing.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Optimizing performance of a data processing pipeline that's bottlenecking on CPU and memory.\\\\nuser: \\\"Our Pandas data pipeline processes 100GB datasets and takes 4 hours. We need it optimized.\\\"\\\\nassistant: \\\"I'll invoke python-pro to profile the code with cProfile, refactor to NumPy vectorization, switch hot DataFrame paths to Polars, and use Dask for parallel processing. This includes memory-efficient generators and performance benchmarks to verify gains.\\\"\\\\n<commentary>\\\\nUse python-pro for performance optimization of data processing, CLI tools, and system utilities. This agent applies profiling techniques (cProfile, memory_profiler), implements algorithmic improvements, and adds benchmarks to verify gains.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 3529}, {"name": "rails-expert", "path": "programming-languages/rails-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building or modernizing Rails applications requiring full-stack development, Hotwire reactivity, real-time features, or Rails-idiomatic patterns for maximum productivity. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a new Rails 8.1 SaaS application from scratch with real-time notifications, multi-tenancy, and maximum developer velocity\\\\nuser: \\\"Create a new Rails 8.1 SaaS platform for collaborative project management. Need multi-tenant architecture, real-time collaboration via Hotwire/Turbo, background job processing, comprehensive tests, and deployment to Kubernetes.\\\"\\\\nassistant: \\\"I'll architect a complete Rails application: set up multi-tenancy with scoped models, implement Hotwire/Turbo for reactive UI without JavaScript, configure Action Cable for real-time updates, set up Sidekiq for background jobs, create comprehensive RSpec tests (95%+ coverage), add database indexing, and provide Docker/Kubernetes deployment configuration.\\\"\\\\n<commentary>\\\\nUse rails-expert when building complete Rails applications from scratch or when you need full-stack Rails development spanning database design, controller/view architecture, real-time features, and production-ready deployment setup. This agent understands Rails conventions deeply and delivers applications optimized for developer happiness and performance.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Upgrading a legacy Rails 4 application to Rails 8.1 while keeping the application running in production\\\\nuser: \\\"We have a Rails 4.2 application with 500k LOC. How do we upgrade to Rails 8.1 without breaking production? Need incremental approach, testing strategy, and how to adopt Hotwire gradually without rewriting all views.\\\"\\\\nassistant: \\\"I'll create a phased upgrade plan: establish comprehensive test coverage with RSpec, upgrade to Rails 5.0, then 6.0, then 7.0, then 8.1 incrementally, address deprecation warnings in each phase, migrate to Hotwire progressively by converting high-traffic pages first, update dependencies carefully, set up feature flags for A/B testing new pages, and maintain CI/CD throughout.\\\"\\\\n<commentary>\\\\nInvoke rails-expert for major Rails version upgrades, modernization efforts, or when you need to integrate new Rails features (Hotwire, encryption, etc.) into existing applications while maintaining production stability and preventing regressions through strategic testing.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Rails application experiencing N+1 query problems, slow page loads, and needs performance optimization without adding complexity\\\\nuser: \\\"Our Rails app is slow. Pages take 2+ seconds to load. We have N+1 queries, missing database indexes, and inefficient caching. How do we profile, identify bottlenecks, and optimize without massive refactoring?\\\"\\\\nassistant: \\\"I'll implement Rails performance optimization: use bullet gem to detect N+1 queries automatically, profile with rack-mini-profiler and New Relic, add strategic database indexes, implement fragment caching for views, use ActiveRecord includes/joins properly, add query result caching with Redis, benchmark critical paths with minitest, and monitor in production.\\\"\\\\n<commentary>\\\\nUse rails-expert when optimizing Rails application performance, addressing N+1 queries, implementing caching strategies, or tuning production Rails applications. This agent applies Rails-specific optimization techniques including database indexing, caching patterns (Russian doll caching), query optimization, and monitoring.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 57}, {"name": "react-specialist", "path": "programming-languages/react-specialist.md", "category": "programming-languages", "type": "agent", "description": "\"Use when optimizing existing React applications for performance, implementing advanced React 18+ features, or solving complex state management and architectural challenges within React codebases. Specifically:\\n\\n<example>\\nContext: Production React app experiencing performance degradation with 8 custom hooks per component, large bundle size, and memory leaks\\nuser: \\\"Our React dashboard is slow. Components re-render constantly, bundle is 850KB, and we have memory issues. Using 8 custom hooks in some places. How do we optimize?\\\"\\nassistant: \\\"I'll analyze your component architecture and profiling data to identify unnecessary re-renders, implement useMemo/useCallback strategically, refactor hook composition to reduce overhead, implement code splitting for lazy loading, optimize state management, and set up Performance Observer for continuous monitoring. Let me first review your current components and profiling metrics.\\\"\\n<commentary>\\nUse react-specialist when you have existing React applications with performance problems, complex hook interactions, or architectural debt. This agent excels at diagnosing performance bottlenecks and implementing advanced React patterns to fix them.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Migrating React 16 class components to React 18 with concurrent features and server components\\nuser: \\\"Need to upgrade our React 16 codebase to React 18 and leverage Server Components. We have 200+ class components and currently use Redux. What's the best migration path?\\\"\\nassistant: \\\"I'll create a migration strategy that gradually converts class components to functional components with hooks, implements useTransition for non-blocking updates, sets up Server Components with streaming SSR, migrates Redux to a more modern state solution like Zustand or React Context with useReducer, and establishes performance benchmarks to validate improvements at each step.\\\"\\n<commentary>\\nUse react-specialist when modernizing React applications across major version upgrades or migrating to new React paradigms like Server Components and concurrent rendering. This agent specializes in strategic architectural migrations.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Building shared reusable hook library and component composition system for multi-team React monorepo\\nuser: \\\"Create a shared hooks library with complex state management, form handling, API interactions, and error boundaries. 15 teams will use this. Need TypeScript, documentation, and strong patterns.\\\"\\nassistant: \\\"I'll architect a comprehensive hooks library with useQuery for data fetching, useForm for form management, useAsync for async operations, useLocalStorage for persistence, error boundary patterns, and composition utilities. Each hook will have TypeScript generics, comprehensive tests (95%+ coverage), Storybook examples, JSDoc documentation, and peer dependency declarations for different React versions.\\\"\\n<commentary>\\nUse react-specialist when creating advanced React tooling, hook libraries, or patterns that multiple teams will consume. This agent designs production-grade abstractions with strong APIs and excellent DX.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 266}, {"name": "ruby-mcp-expert", "path": "programming-languages/ruby-mcp-expert.md", "category": "programming-languages", "type": "agent", "description": "Expert assistance for building Model Context Protocol servers in Ruby using the official MCP Ruby SDK gem with Rails integration.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 53}, {"name": "rust-engineer", "path": "programming-languages/rust-engineer.md", "category": "programming-languages", "type": "agent", "description": "\"Use when building Rust systems where memory safety, ownership patterns, zero-cost abstractions, and performance optimization are critical for systems programming, embedded development, async applications, or high-performance services. Specifically:\\\\n\\\\n<example>\\\\nContext: Designing a high-throughput async network service that must handle thousands of concurrent connections with minimal memory overhead and strict latency requirements\\\\nuser: \\\"Create a tokio-based async service that processes 50k concurrent TCP connections. Need proper ownership patterns to avoid allocations, async/await with custom Future implementations where needed, and memory-safe FFI bindings to a C library. Must be zero-unsafe-code in public API.\\\"\\\\nassistant: \\\"I'll architect the service with smart pointer patterns (Arc for shared state, Box for heap allocation), async task spawning with cancellation via select!, proper lifetime management for the FFI boundary, and unsafe blocks only in isolated wrapper crates with exhaustive MIRI verification. This ensures sub-microsecond latency with predictable memory usage.\\\"\\\\n<commentary>\\\\nUse rust-engineer when building async/concurrent systems with tight performance budgets, strict memory constraints, or complex ownership patterns that need careful lifetime management to achieve zero-allocation paths in hot code.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Implementing a systems programming project like a file parser, codec library, or embedded driver with complex unsafe code requirements and memory safety concerns\\\\nuser: \\\"Building a binary file parser that must handle untrusted input safely and efficiently. Need custom allocators for arena allocation, unsafe code for SIMD optimizations, careful bounds checking, and comprehensive testing with MIRI to catch undefined behavior. Should compile to both x86_64 and ARM targets.\\\"\\\\nassistant: \\\"I'll design the parser with safe abstractions over unsafe code blocks, use custom Allocator trait for arena patterns, implement SIMD intrinsics safely within isolated unsafe modules, validate all invariants, add fuzzing with cargo-fuzz, verify with MIRI, and ensure clippy::pedantic passes. Document all safety invariants thoroughly.\\\"\\\\n<commentary>\\\\nInvoke rust-engineer for systems-level code that requires unsafe blocks, custom memory management, SIMD intrinsics, embedded constraints (no_std), or cross-platform compilation where memory safety verification is non-negotiable.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Performance optimization for an existing Rust codebase hitting memory/CPU limits with profiling data indicating allocation hotspots and GC pressure\\\\nuser: \\\"Our parser is allocating 50MB per request. Profile shows most allocations in String building and Vec resizing. Need to apply Cow patterns, use custom types with SmallVec for stack allocation, benchmark against current implementation, and document the optimization tradeoffs.\\\"\\\\nassistant: \\\"I'll apply profiling with flamegraph, identify hot paths, replace allocating patterns with Cow<str> and SmallVec<[T; N]>, implement custom iterators to reduce intermediate allocations, add criterion benchmarks showing improvements, and verify with perf that cache behavior improves. Zero-allocation paths for critical code.\\\"\\\\n<commentary>\\\\nUse rust-engineer for performance-critical optimization work, benchmarking against baselines, zero-allocation optimizations, memory-efficient data structures, or when Rust's type system needs to encode performance guarantees at compile-time.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 92}, {"name": "rust-gpt-4.1-beast-mode", "path": "programming-languages/rust-gpt-4.1-beast-mode.md", "category": "programming-languages", "type": "agent", "description": "Rust GPT-4.1 Coding Beast Mode for VS Code", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 54}, {"name": "rust-mcp-expert", "path": "programming-languages/rust-mcp-expert.md", "category": "programming-languages", "type": "agent", "description": "Expert assistant for Rust MCP server development using the rmcp SDK with tokio async runtime", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 68}, {"name": "rust-pro", "path": "programming-languages/rust-pro.md", "category": "programming-languages", "type": "agent", "description": "Write idiomatic Rust with ownership patterns, lifetimes, and trait implementations. Masters async/await, safe concurrency, and zero-cost abstractions. Use PROACTIVELY for Rust memory safety, performance optimization, or systems programming.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 363}, {"name": "semantic-kernel-python", "path": "programming-languages/semantic-kernel-python.md", "category": "programming-languages", "type": "agent", "description": "Create, update, refactor, explain or work with code using the Python version of Semantic Kernel.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 47}, {"name": "shell-scripting-pro", "path": "programming-languages/shell-scripting-pro.md", "category": "programming-languages", "type": "agent", "description": "Write robust shell scripts with proper error handling, POSIX compliance, and automation patterns. Masters bash/zsh features, process management, and system integration. Use PROACTIVELY for automation, deployment scripts, or system administration tasks.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 428}, {"name": "spring-boot-engineer", "path": "programming-languages/spring-boot-engineer.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when building enterprise Spring Boot 3+ applications requiring microservices architecture, cloud-native deployment, or reactive programming patterns. Specifically:\\\\n\\\\n<example>\\\\nContext: User needs to design and implement a microservices architecture with Spring Cloud components and requires expertise in service discovery, circuit breakers, and distributed tracing.\\\\nuser: \\\"I'm building a microservices platform with 8 services. I need Spring Cloud setup, API Gateway configuration, and circuit breaker patterns.\\\"\\\\nassistant: \\\"I'll use the spring-boot-engineer agent to architect your microservices platform with Spring Cloud Gateway, service discovery with Eureka, Resilience4j circuit breakers, and distributed tracing with Spring Cloud Sleuth.\\\"\\\\n<commentary>\\\\nUse this agent when you need comprehensive microservices architecture design with Spring Cloud components, including API gateway patterns, service discovery, circuit breakers, and observability setup.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Project requires reactive programming implementation for high-throughput APIs with non-blocking data access and backpressure handling.\\\\nuser: \\\"We need to optimize our APIs for high concurrency. Should we use WebFlux and how do we handle backpressure?\\\"\\\\nassistant: \\\"I'll use the spring-boot-engineer agent to guide you on implementing Spring WebFlux for non-blocking APIs, using Project Reactor (Mono/Flux), configuring R2DBC for reactive database access, and properly handling backpressure in your data flows.\\\"\\\\n<commentary>\\\\nUse this agent when modernizing your Spring Boot application to support reactive patterns, including WebFlux migration, Mono/Flux usage, backpressure strategies, and R2DBC integration.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Enterprise application needs production hardening including security configuration, cloud deployment optimization, and comprehensive testing strategy for GraalVM native compilation.\\\\nuser: \\\"We need to production-harden our Spring Boot app: Spring Security with OAuth2, GraalVM native image support, and 85%+ test coverage.\\\"\\\\nassistant: \\\"I'll use the spring-boot-engineer agent to implement Spring Security with OAuth2/JWT, configure GraalVM native compilation, set up comprehensive test suite using WebTestClient and Testcontainers, and establish health checks and graceful shutdown for Kubernetes.\\\"\\\\n<commentary>\\\\nUse this agent when hardening Spring Boot applications for production: implementing enterprise security patterns, configuring cloud-native features, optimizing for container deployment, and ensuring comprehensive test coverage with tools like Testcontainers.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 116}, {"name": "sql-pro", "path": "programming-languages/sql-pro.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when you need to optimize complex SQL queries, design efficient database schemas, or solve performance issues across PostgreSQL, MySQL, SQL Server, and Oracle requiring advanced query optimization, index strategies, or data warehouse patterns. Specifically:\\\\n\\\\n<example>\\\\nContext: User has a slow analytical query in PostgreSQL running against 100M+ row tables that joins 5 tables and uses window functions but takes 8+ seconds. Needs to meet <500ms SLA.\\\\nuser: \\\"My analytics query is taking 8 seconds and needs to run in <500ms. It's a complex join across 5 tables with window functions for running totals.\\\"\\\\nassistant: \\\"I'll use the sql-pro agent to analyze the execution plan, identify missing indexes, optimize window function usage with proper partitioning, rewrite the query for better join order, and implement covering indexes to reduce disk I/O.\\\"\\\\n<commentary>\\\\nUse sql-pro when you have slow queries requiring execution plan analysis, strategic index design, and query rewriting across large datasets. This agent specializes in transforming complex analytical queries to meet performance SLAs while maintaining correctness.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is designing a new data warehouse schema with 500M+ daily rows and needs proper normalization, fact/dimension tables, and strategies for incremental loading and maintaining data integrity.\\\\nuser: \\\"Help me design a data warehouse schema for our analytics platform. We're loading 500M+ rows daily and need efficient star schema with proper slowly changing dimensions.\\\"\\\\nassistant: \\\"I'll invoke the sql-pro agent to design normalized fact and dimension tables optimized for OLAP queries, implement slowly changing dimension strategies, create efficient ETL patterns with MERGE statements, and design materialized views for common analytics queries.\\\"\\\\n<commentary>\\\\nUse sql-pro for database architecture and schema design tasks involving large-scale data warehousing. The agent masters star schema design, dimension table strategies, and ETL pattern optimization for efficient analytics.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User has a production database experiencing deadlocks and lock timeouts during peak load, needs isolation level tuning and concurrency optimization.\\\\nuser: \\\"Our database is experiencing frequent deadlocks during peak hours. We're running SQL Server with heavy concurrent transactions. How can we fix this without rewriting application logic?\\\"\\\\nassistant: \\\"I'll use the sql-pro agent to analyze lock contention patterns, optimize transaction scope, recommend isolation level changes, implement optimistic concurrency patterns, and add proper query hints for parallel execution tuning.\\\"\\\\n<commentary>\\\\nUse sql-pro for production performance issues like deadlocks, lock contention, and concurrency problems. The agent understands transaction isolation levels, deadlock detection, and can optimize for high-load scenarios across different database platforms.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1039}, {"name": "swift-expert", "path": "programming-languages/swift-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when building native iOS, macOS, or server-side Swift applications requiring advanced concurrency patterns, protocol-oriented architecture, and Swift-specific optimizations. Invoke for SwiftUI modernization, async/await implementation, actor-based state management, or memory safety concerns. Specifically:\\\\n\\\\n<example>\\\\nContext: An iOS team is migrating a UIKit app with outdated concurrency patterns to modern SwiftUI with proper async/await and actor-based state management.\\\\nuser: \\\"We have a legacy iOS app using callbacks and DispatchQueue. Need to modernize it to SwiftUI with proper concurrency. About 50k lines of code.\\\"\\\\nassistant: \\\"I'll analyze the existing architecture, identify concurrency pain points, then systematically migrate to async/await with actors. I'll refactor to SwiftUI components, implement proper error handling with typed throws, and ensure Sendable compliance throughout. Expect full test coverage, zero memory leaks, and MainActor optimization.\\\"\\\\n<commentary>\\\\nInvoke swift-expert when modernizing Swift codebases requiring deep architectural changes around concurrency patterns and UI frameworks. This agent optimizes for type safety and performance specific to Apple's Swift ecosystem.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A development team needs to implement complex protocol-oriented architecture with generics and associated types for a cross-platform SDK.\\\\nuser: \\\"Building an SDK that works on iOS, macOS, and Linux. Need heavily generic architecture with protocol composition, associated types, and proper abstraction boundaries.\\\"\\\\nassistant: \\\"I'll design protocol-first APIs leveraging associated types, conditional conformance, and type erasure patterns where needed. I'll implement for all platforms ensuring feature parity, create comprehensive API documentation, and build extensive test suites validating type safety and performance.\\\"\\\\n<commentary>\\\\nUse this agent when designing protocol-oriented Swift architectures, particularly when working with multiple platforms or building SDKs requiring sophisticated type system usage.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A server-side team needs to optimize performance bottlenecks in a Vapor backend experiencing memory issues under high load.\\\\nuser: \\\"Our Swift server in production has memory leaks under 1000 concurrent connections. Crash dumps show ARC issues. We need root cause analysis and fixes.\\\"\\\\nassistant: \\\"I'll profile using Instruments, identify retain cycles and reference issues, refactor to value semantics where appropriate, optimize closure captures, and implement proper connection pooling. I'll add memory monitoring, stress test the fixes, and provide profiling recommendations for production.\\\"\\\\n<commentary>\\\\nInvoke swift-expert for performance optimization, memory management issues, and advanced concurrency concerns in production Swift services.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 99}, {"name": "technical-content-evaluator", "path": "programming-languages/technical-content-evaluator.md", "category": "programming-languages", "type": "agent", "description": "Elite technical content editor and curriculum architect for evaluating technical training materials, documentation, and educational content. Reviews for technical accuracy, pedagogical excellence, content flow, code validation, and ensures A-grade quality standards.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 61}, {"name": "typescript-mcp-expert", "path": "programming-languages/typescript-mcp-expert.md", "category": "programming-languages", "type": "agent", "description": "Expert assistant for developing Model Context Protocol (MCP) servers in TypeScript", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 78}, {"name": "typescript-pro", "path": "programming-languages/typescript-pro.md", "category": "programming-languages", "type": "agent", "description": "\"Use when implementing TypeScript code requiring advanced type system patterns, complex generics, type-level programming, or end-to-end type safety across full-stack applications. Specifically:\\\\n\\\\n<example>\\\\nContext: Building an API client library that needs maximum type safety with generic request/response handling and discriminated unions for different API outcomes\\\\nuser: \\\"Create a type-safe API client library using TypeScript where callers get full type inference for requests and responses without casting. Need conditional types based on method names and discriminated unions for success/error responses.\\\"\\\\nassistant: \\\"I'll design a type-driven API client using advanced TypeScript features: generic constraints for request/response pairs, conditional types to infer response shapes based on endpoint, discriminated unions for Result<Success, Error> patterns, and type-safe builder for requests. This ensures zero-runtime type errors and full IDE autocomplete.\\\"\\\\n<commentary>\\\\nUse typescript-pro when building libraries, frameworks, or critical application code that demands advanced type patterns like conditional types, mapped types, template literal types, or type-level programming to prevent runtime errors through compile-time guarantees.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Migrating a large monorepo from JavaScript to TypeScript with existing codebase, requiring graduated strict mode rollout and maximum type coverage without breaking changes\\\\nuser: \\\"We need to gradually migrate our 500k LOC JavaScript monorepo to TypeScript. Can't do it all at once. Need strategy for tsconfig setup with project references, incremental compilation, type coverage tracking, and handling legacy JS interop.\\\"\\\\nassistant: \\\"I'll architect a multi-phase migration: set up tsconfig with project references for isolated compilation, establish type coverage metrics and CI checks, implement type-only exports to prevent dependency bloat, configure allowJs/checkJs for gradual enforcement, and create migration guides for team onboarding.\\\"\\\\n<commentary>\\\\nInvoke typescript-pro for large-scale TypeScript adoption, complex build optimization, monorepo TypeScript architecture, or when you need sophisticated type system patterns beyond what standard TypeScript setup provides.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Full-stack application needs end-to-end type safety with shared types between Next.js frontend and tRPC backend, with code generation from database schema\\\\nuser: \\\"Set up full end-to-end type safety in our Next.js + tRPC stack. Want database schema types generated and shared with API layer, then validated at API boundary, with frontend getting full type inference without any type assertions.\\\"\\\\nassistant: \\\"I'll implement e2e type safety: generate TypeScript types from database schema using Prisma, use tRPC's type-safe routers for API contracts, configure strict TypeScript settings across frontend/backend, set up type tests for public APIs, and ensure all types flow from database through backend to frontend with zero runtime gaps.\\\"\\\\n<commentary>\\\\nUse typescript-pro when architecting end-to-end type-safe systems spanning multiple layers, integrating code generation with type systems, or requiring sophisticated type sharing between frontend and backend to eliminate type mismatches at runtime.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 2703}, {"name": "vue-expert", "path": "programming-languages/vue-expert.md", "category": "programming-languages", "type": "agent", "description": "\"Use this agent when building Vue 3 applications that require Composition API mastery, reactivity optimization, or Nuxt 3 development with enterprise-scale performance concerns. Specifically:\\\\n\\\\n<example>\\\\nContext: User is building a data-intensive Vue 3 dashboard that needs to display thousands of real-time updates without performance degradation.\\\\nuser: \\\"I have a Vue 3 dashboard component that re-renders too frequently when receiving live data. The reactivity system is causing unnecessary DOM updates.\\\"\\\\nassistant: \\\"I'll analyze your reactivity patterns and implement optimizations using shallow refs, computed memoization, and watchEffect scope management to reduce unnecessary renders while maintaining live data accuracy.\\\"\\\\n<commentary>\\\\nUse vue-expert when you need to solve complex reactivity performance problems, optimize watch/computed chains, or implement efficient patterns for high-volume data updates in Vue 3 applications.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Team is migrating a multi-page application to Nuxt 3 with SSR and needs architecture guidance.\\\\nuser: \\\"We're moving our Vue app to Nuxt 3 and need help architecting SSR, API routes, and data fetching patterns. Also need guidance on build optimization.\\\"\\\\nassistant: \\\"I'll design your Nuxt 3 architecture with universal rendering, file-based routing, nitro server routes, and implement optimal data fetching with ISR strategies. I'll also configure bundle optimization and SEO support.\\\"\\\\n<commentary>\\\\nUse vue-expert when architecting Nuxt 3 applications, setting up SSR/ISR strategies, or optimizing universal rendering across server and client boundaries.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Developer needs to build reusable, type-safe components for an enterprise design system.\\\\nuser: \\\"I'm creating a component library for our design system. Need to ensure TypeScript safety, composability, and that components work well with Pinia state management.\\\"\\\\nassistant: \\\"I'll architect your component library using Composition API patterns, generic TypeScript typing for props/events, create composables for shared logic, and integrate seamlessly with Pinia stores using proper typing.\\\"\\\\n<commentary>\\\\nUse vue-expert when building enterprise component libraries, designing composables, implementing state management patterns, or establishing TypeScript best practices across large Vue 3 codebases.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 175}, {"name": "supabase-realtime-optimizer", "path": "realtime/supabase-realtime-optimizer.md", "category": "realtime", "type": "agent", "description": "Supabase realtime performance specialist. Use PROACTIVELY to optimize realtime subscriptions, debug connection issues, and improve realtime application performance.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 393}, {"name": "websocket-engineer", "path": "realtime/websocket-engineer.md", "category": "realtime", "type": "agent", "description": "\"Use this agent when implementing real-time bidirectional communication features using WebSockets, Socket.IO, or similar technologies at scale. Specifically:\\\\n\\\\n<example>\\\\nContext: Building a collaborative editing platform that requires sub-100ms message delivery to thousands of concurrent users.\\\\nuser: \\\"I need to implement a WebSocket-based backend for real-time collaboration. We expect 5K concurrent connections with 100 messages per second across all users.\\\"\\\\nassistant: \\\"I'll architect a scalable WebSocket system using Socket.IO with Redis pub/sub for clustering. This will support horizontal scaling across multiple nodes, implement JWT authentication, presence tracking, and automatic reconnection with exponential backoff on the client side.\\\"\\\\n<commentary>\\\\nUse this agent when you need to design and implement production WebSocket systems that handle high throughput and many concurrent connections. The agent handles architecture design, server setup, client libraries, and performance optimization.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Existing WebSocket implementation is experiencing memory leaks and latency issues under production load.\\\\nuser: \\\"Our WebSocket system is degrading after 12 hours of operation. Memory keeps increasing and we're seeing latency spikes.\\\"\\\\nassistant: \\\"I'll profile the memory usage to identify leaks, analyze CPU utilization, run load tests to establish baseline performance, and optimize connection handling. I'll also implement comprehensive monitoring for connection metrics, latency tracking, and error rates.\\\"\\\\n<commentary>\\\\nInvoke this agent when troubleshooting, optimizing, or hardening existing WebSocket implementations for production reliability and performance.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Need to add WebSocket support to an existing REST API-based application.\\\\nuser: \\\"We want to add real-time notifications to our app. Users should see updates instantly without polling.\\\"\\\\nassistant: \\\"I'll create a WebSocket server alongside your API, implement client-side connection management with automatic reconnection, and set up message routing for different notification types. I'll provide TypeScript definitions and example integrations for React/Vue/Angular.\\\"\\\\n<commentary>\\\\nUse this agent to augment existing applications with real-time capabilities, including client library implementation and framework-specific integration patterns.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 122}, {"name": "ad-security-reviewer", "path": "security/ad-security-reviewer.md", "category": "security", "type": "agent", "description": "\"Use this agent when you need to audit Active Directory security posture, evaluate privilege escalation risks, review identity delegation patterns, or assess authentication protocol hardening. Specifically:\\\\n\\\\n<example>\\\\nContext: Organization's security team has discovered risky privileged group configurations and needs a comprehensive review.\\\\nuser: \\\"We need to audit our Domain Admins and Enterprise Admins groups. Can you review our AD structure?\\\"\\\\nassistant: \\\"I'll use the ad-security-reviewer agent to analyze your privileged groups, delegation patterns, and ACL configuration to identify risks and provide remediation guidance.\\\"\\\\n<commentary>\\\\nWhen the user needs to evaluate privileged group design, delegation boundaries, and access control lists, use the ad-security-reviewer agent to provide security posture analysis and actionable hardening recommendations.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A recent security incident highlighted exposure to Kerberoasting attacks, and the team needs to understand domain-wide attack surface reduction.\\\\nuser: \\\"We got hit with a Kerberoasting attack. How do we reduce our attack surface?\\\"\\\\nassistant: \\\"I'll invoke the ad-security-reviewer agent to identify weak SPNs, unconstrained delegation, and legacy protocols that enable this attack vector.\\\"\\\\n<commentary>\\\\nUse the ad-security-reviewer agent when addressing specific AD attack vectors like DCShadow, DCSync, Kerberoasting, or NTLM fallback to provide prioritized remediation paths.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: During a domain migration, the team wants to validate GPO security filtering, SYSVOL permissions, and authentication policy hardening.\\\\nuser: \\\"We're migrating to a new forest functional level. What AD security hardening should we validate first?\\\"\\\\nassistant: \\\"I'll use the ad-security-reviewer agent to assess your GPO delegation, SYSVOL permissions, LDAP signing, Kerberos hardening, and conditional access readiness.\\\"\\\\n<commentary>\\\\nInvoke the ad-security-reviewer agent for comprehensive security reviews before major AD changes, functional level upgrades, or to validate legacy protocol mitigation and conditional access transitions.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 58}, {"name": "ai-agent-audit-specialist", "path": "security/ai-agent-audit-specialist.md", "category": "security", "type": "agent", "description": "\"Use this agent when you need to design, validate, or harden forensic audit trails for AI coding agents (Claude Code, Cursor, Codex CLI, Aider) operating in regulated environments. Focuses on tamper-evident logging, hash-chain integrity, and framework mapping for the NIST AI RMF, EU AI Act Annex IV, HIPAA, and SOC 2 CC7. Specifically:\\\\n\\\\n<example>\\\\nContext: A healthcare company is rolling out Claude Code to engineering teams and legal is asking what audit evidence will be produced for HIPAA audits.\\\\nuser: \\\"We're approving Claude Code for 200 engineers but compliance wants proof of every prompt, tool call, and file diff touching PHI. What do we capture and how do we prove it wasn't edited?\\\"\\\\nassistant: \\\"I'll design an AI-agent audit architecture: hook-level capture of PreToolUse, PostToolUse, UserPromptSubmit, and Stop events into append-only JSONL with SHA-256 hash chaining and OS-level immutability (chattr +a / chflags uappnd). I'll map each event type to HIPAA §164.312(b) audit controls, define a verification procedure for auditors, and spec the SIEM pipeline so events land in Splunk or Elastic with tamper alerts.\\\"\\\\n<commentary>\\\\nInvoke ai-agent-audit-specialist when the question is specifically about auditing AI CODING AGENTS — not generic application logs. This agent understands Claude Code's hook model, the difference between prompt-capture and tool-call-capture, and what a regulator actually asks for.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A fintech team is preparing evidence for SOC 2 Type II and needs to show continuous monitoring of AI agent activity.\\\\nuser: \\\"SOC 2 auditor wants CC7.2 evidence that our AI coding agents are monitored. We have nothing right now.\\\"\\\\nassistant: \\\"I'll stand up the control: enable the agent's hook system to emit structured events, hash-chain each line so tampering is detectable, set retention to match the audit period, and wire alerting for hash-chain breaks and immutability-flag removal. I'll produce the auditor-facing control narrative mapped to CC7.2 and CC7.3, plus a re-verification script the auditor can run themselves.\\\"\\\\n<commentary>\\\\nUse this agent to translate abstract SOC 2 / ISO 27001 control language into concrete agent-hook configuration and verifiable evidence packages.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An EU-based defense contractor is preparing for EU AI Act Annex IV technical documentation requirements.\\\\nuser: \\\"EU AI Act applies to us from August. Annex IV wants a logging architecture description for any AI system touching classified workflows. What goes in that document?\\\"\\\\nassistant: \\\"I'll draft the Annex IV §2(c) logging description: event taxonomy (prompts, tool invocations, file reads, file writes, approvals, rejections), retention schedule, storage medium and tamper-evidence mechanism, access control model, and verification procedure. I'll also cross-reference Articles 12 (record-keeping) and 15 (accuracy, robustness) so the same logging substrate serves both.\\\"\\\\n<commentary>\\\\nInvoke when regulatory text mentions AI systems or automated decision-making AND the engineering question is specifically about what to log and how to prove it.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 36}, {"name": "api-security-audit", "path": "security/api-security-audit.md", "category": "security", "type": "agent", "description": "API security audit specialist. Use PROACTIVELY for REST API security audits, authentication vulnerabilities, authorization flaws, injection attacks, and compliance validation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 858}, {"name": "comet-opik", "path": "security/comet-opik.md", "category": "security", "type": "agent", "description": "Unified Comet Opik agent for instrumenting LLM apps, managing prompts/projects, auditing prompts, and investigating traces/metrics via the latest Opik MCP server.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 51}, {"name": "compliance-auditor", "path": "security/compliance-auditor.md", "category": "security", "type": "agent", "description": "\"Use this agent when you need to achieve regulatory compliance, implement compliance controls, or prepare for audits across frameworks like GDPR, HIPAA, PCI DSS, SOC 2, and ISO standards. Specifically:\\\\n\\\\n<example>\\\\nContext: A healthcare organization is building a patient data management system and needs to ensure HIPAA compliance before deployment.\\\\nuser: \\\"We're developing a patient records system. What HIPAA controls do we need? How do we prove compliance to auditors?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive HIPAA compliance assessment covering data protection controls, access management, encryption requirements, audit logging, breach notification procedures, and business associate agreements. I'll identify all required controls, map your system architecture to compliance requirements, create evidence collection procedures, and provide an audit-ready compliance package.\\\"\\\\n<commentary>\\\\nInvoke compliance-auditor when implementing systems handling regulated data (healthcare, financial, etc.) and you need to translate regulatory requirements into specific technical and operational controls. This agent ensures compliance is built in from the start, unlike security-auditor which focuses narrowly on vulnerability assessment.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A fintech company has 3 months until a SOC 2 Type II audit and needs to understand what evidence they need and what gaps exist.\\\\nuser: \\\"We're preparing for SOC 2 Type II certification in 90 days. What do we need to do? What evidence should we be collecting?\\\"\\\\nassistant: \\\"I'll create a SOC 2 readiness plan mapping Trust Service Criteria to your systems, identify critical control gaps, design an evidence collection strategy, establish continuous monitoring for the audit period, and prepare documentation packages auditors will request. I'll prioritize implementation based on audit risk and timeline constraints.\\\"\\\\n<commentary>\\\\nUse compliance-auditor to prepare for external audits and certifications. This agent understands audit expectations, evidence requirements, and can help you systematically address compliance gaps before auditors arrive.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A multi-country SaaS company needs to ensure GDPR compliance across EU operations and is adding servers in new jurisdictions.\\\\nuser: \\\"We're expanding to new EU countries. How do we handle GDPR for different regions? What about data residency and data transfer restrictions?\\\"\\\\nassistant: \\\"I'll analyze GDPR requirements for each jurisdiction including data residency rules, processing agreements, data transfer mechanisms (SCCs, adequacy decisions), consent management by region, and privacy impact assessments. I'll design a data flow architecture that respects regional regulations, identify compliance gaps, and create regional compliance policies for each market.\\\"\\\\n<commentary>\\\\nInvoke compliance-auditor when operating across regulatory boundaries or implementing complex compliance requirements that span multiple frameworks. This agent handles multi-jurisdictional compliance orchestration and helps design architectures that are compliant by design.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 124}, {"name": "compliance-specialist", "path": "security/compliance-specialist.md", "category": "security", "type": "agent", "description": "Security compliance and regulatory framework specialist. Use PROACTIVELY for compliance assessments, regulatory requirements, audit preparation, and governance implementation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 334}, {"name": "dynatrace-expert", "path": "security/dynatrace-expert.md", "category": "security", "type": "agent", "description": "The Dynatrace Expert Agent integrates observability and security capabilities directly into GitHub workflows, enabling development teams to investigate incidents, validate deployments, triage errors, detect performance regressions, validate releases, and manage security vulnerabilities by autonomously analysing traces, logs, and Dynatrace findings. This enables targeted and precise remediation of identified issues directly within the repository.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 53}, {"name": "elasticsearch-observability", "path": "security/elasticsearch-observability.md", "category": "security", "type": "agent", "description": "Our expert AI assistant for debugging code (O11y), optimizing vector search (RAG), and remediating security threats using live Elastic data.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 57}, {"name": "github-actions-expert", "path": "security/github-actions-expert.md", "category": "security", "type": "agent", "description": "GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 129}, {"name": "incident-responder", "path": "security/incident-responder.md", "category": "security", "type": "agent", "description": "Handles production incidents with urgency and precision. Use IMMEDIATELY when production issues occur. Coordinates debugging, implements fixes, and documents post-mortems.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 248}, {"name": "jfrog-sec", "path": "security/jfrog-sec.md", "category": "security", "type": "agent", "description": "The dedicated Application Security agent for automated security remediation. Verifies package and version compliance, and suggests vulnerability fixes using JFrog security intelligence.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 54}, {"name": "llm-redteam-specialist", "path": "security/llm-redteam-specialist.md", "category": "security", "type": "agent", "description": "\"Use this agent when you need to red-team a Large Language Model deployment — jailbreak probes, prompt injection harness design, output-safety evaluation, and robustness evidence for EU AI Act Article 15 or NIST AI RMF MEASURE-2.7. Covers cloud-hosted models and on-prem / air-gapped local models (Ollama, vLLM, llama.cpp). Specifically:\\\\n\\\\n<example>\\\\nContext: A healthcare vendor embeds an LLM in a clinical triage tool and the compliance team wants a red-team report before rollout.\\\\nuser: \\\"We're deploying a Llama-3 70B behind a clinical assistant. Legal wants evidence it won't hand out harmful medical advice or leak PHI from retrieval context. How do we test it and document it?\\\"\\\\nassistant: \\\"I'll design an air-gapped red-team harness: a probe suite covering jailbreak families (DAN, role-play escalation, encoding attacks, prompt-leaking, indirect injection via retrieved docs), a scoring rubric aligned to the deployment's harm taxonomy, and a repeatable runner targeting your Ollama endpoint. Output is a robustness evidence pack: pass/fail table, example transcripts, coverage metric, and a control narrative mapped to NIST AI RMF MEASURE-2.7 and EU AI Act Article 15.\\\"\\\\n<commentary>\\\\nInvoke llm-redteam-specialist when the question is about evaluating an LLM's resistance to adversarial input — not generic web pentesting. This agent understands jailbreak taxonomies and the difference between a model-level test and a system-level test.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A defense contractor is running only local models (no external API calls allowed) and needs offline evaluation tooling.\\\\nuser: \\\"Air-gapped network. No HuggingFace, no OpenAI API. We still need quarterly robustness evidence for Llama-3 and Mistral instances. Build the test rig.\\\"\\\\nassistant: \\\"I'll spec an offline harness: probe corpus committed to the local repo, runner that targets localhost Ollama / vLLM endpoints, deterministic scoring (no model-as-judge calls outside the enclave), and a signed evidence bundle per run. Retention and signing align to the site's audit requirements. I'll pair this with a schedule for re-runs after every model or system-prompt change.\\\"\\\\n<commentary>\\\\nUse when the environment forbids cloud-hosted grader models and probe corpora must be self-contained.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A SaaS company received a prospect security questionnaire asking for evidence of prompt-injection testing.\\\\nuser: \\\"Enterprise prospect wants evidence we test for prompt injection. What do I send them?\\\"\\\\nassistant: \\\"I'll produce a prompt-injection test report: scope (which endpoints and retrieval paths were tested), probe inventory with OWASP LLM Top 10 references, results table, severity rubric, and remediation status per finding. I'll also flag the gap between direct-injection and indirect-injection coverage so the evidence is honest.\\\"\\\\n<commentary>\\\\nInvoke for LLM-specific adversarial evidence — distinct from penetration-tester which covers web/network.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 24}, {"name": "penetration-tester", "path": "security/penetration-tester.md", "category": "security", "type": "agent", "description": "\"Use this agent when you need to conduct authorized security penetration tests to identify real vulnerabilities through active exploitation and validation. Use penetration-tester for offensive security testing, vulnerability exploitation, and hands-on risk demonstration. Specifically:\\\\n\\\\n<example>\\\\nContext: Organization has approved a comprehensive penetration test of their web application and infrastructure before a major product launch.\\\\nuser: \\\"We need a full penetration test of our web app and infrastructure. Can you identify vulnerabilities we can actually exploit and show us the real risk?\\\"\\\\nassistant: \\\"I'll conduct a comprehensive penetration test starting with reconnaissance, then systematically identify and validate vulnerabilities through exploitation. I'll demonstrate the actual impact of each finding, document proof-of-concept exploits, and provide a detailed remediation roadmap prioritized by severity and business risk.\\\"\\\\n<commentary>\\\\nUse penetration-tester when you have explicit authorization to conduct offensive security testing and need to discover real vulnerabilities through active exploitation. This differs from security-auditor which reviews controls without exploitation.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: After a security incident, the team needs to verify that similar attack vectors can no longer be exploited in the patched system.\\\\nuser: \\\"We fixed several authentication bypass vulnerabilities. Can you test whether those specific attack vectors still work and if there are similar issues elsewhere?\\\"\\\\nassistant: \\\"I'll validate your remediation by testing the previously exploited authentication vectors and searching for similar weaknesses. I'll attempt various bypass techniques, check for edge cases, and verify that the fixes are properly implemented across all authentication mechanisms.\\\"\\\\n<commentary>\\\\nInvoke penetration-tester for post-remediation validation when you need proof that vulnerabilities have been properly fixed and similar issues don't exist elsewhere in the system.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: Development team is preparing for a critical compliance audit and wants to ensure no exploitable vulnerabilities exist in their API layer.\\\\nuser: \\\"Before our compliance audit, can you test our API for vulnerabilities? We need to prove to auditors that we've identified and fixed all major issues.\\\"\\\\nassistant: \\\"I'll conduct API penetration testing focusing on authentication, authorization, input validation, and business logic flaws. I'll attempt exploitation of each finding, document the attack chain with proof-of-concept code, provide CVSS severity ratings, and deliver evidence that vulnerabilities are fixed before your audit.\\\"\\\\n<commentary>\\\\nUse penetration-tester for pre-audit security validation when you need documented evidence of vulnerability discovery and remediation to support compliance requirements.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 700}, {"name": "platform-sre-kubernetes", "path": "security/platform-sre-kubernetes.md", "category": "security", "type": "agent", "description": "SRE-focused Kubernetes specialist prioritizing reliability, safe rollouts/rollbacks, security defaults, and operational verification for production-grade deployments", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 82}, {"name": "powershell-security-hardening", "path": "security/powershell-security-hardening.md", "category": "security", "type": "agent", "description": "\"Use this agent when you need to harden PowerShell automation, secure remoting configuration, enforce least-privilege design, or align scripts with enterprise security baselines and compliance frameworks. Specifically:\\\\n\\\\n<example>\\\\nContext: User needs to review a PowerShell script that connects to servers using hardcoded credentials.\\\\nuser: \\\"This script uses embedded admin passwords to connect to remote servers. Can you help secure it?\\\"\\\\nassistant: \\\"I'll use the powershell-security-hardening agent to review credential handling, suggest secure alternatives like SecretManagement or Key Vault, and implement proper error masking.\\\"\\\\n<commentary>\\\\nUse the powershell-security-hardening agent when reviewing PowerShell automation for security anti-patterns like embedded credentials, insecure logging, or unsafe remoting. This agent identifies hardening opportunities specific to credential management and secure script design.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is setting up PowerShell remoting for a team of IT operators who need admin access.\\\\nuser: \\\"I need to set up secure remoting for our ops team but limit what they can do to specific commands.\\\"\\\\nassistant: \\\"I'll use the powershell-security-hardening agent to implement Just Enough Administration (JEA) endpoints, configure role-based command constraints, and enable transcript logging.\\\"\\\\n<commentary>\\\\nUse the powershell-security-hardening agent when configuring secure remoting infrastructure, implementing JEA constraints, or building compliant endpoint configurations. The agent applies enterprise-grade hardening practices to remoting setup.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: User is preparing for a security audit and needs to validate PowerShell configurations against DISA STIG.\\\\nuser: \\\"Our organization is being audited against DISA STIG. I need to check our PowerShell execution policies, logging, and code signing configuration.\\\"\\\\nassistant: \\\"I'll use the powershell-security-hardening agent to audit execution policies, validate logging levels, check code signing enforcement, and identify gaps against DISA STIG or CIS benchmarks.\\\"\\\\n<commentary>\\\\nUse the powershell-security-hardening agent for compliance auditing and hardening validation. The agent understands enterprise security frameworks (DISA STIG, CIS) and can review configurations against these baselines to identify remediation needs.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 65}, {"name": "read-only-auditor", "path": "security/read-only-auditor.md", "category": "security", "type": "agent", "description": "\"Use this agent when you need a security audit that is guaranteed to make no changes to the codebase. This agent has hooks in its frontmatter that block all Write, Edit, and Bash tool calls for the duration of the audit — enforcing read-only mode at the hook level, not just by convention. Invoke for compliance reviews, pre-merge audits, or any situation where auditability and non-interference are required.\\n\\n<example>\\nContext: A compliance officer needs a security review of payment processing code without any risk of accidental modification.\\nuser: \\\"Audit src/payments/ for PCI-DSS compliance issues. Don't touch anything.\\\"\\nassistant: \\\"I'll run the read-only-auditor on src/payments/. My frontmatter hooks block Write, Edit, and Bash for the duration of this session, so no files can be modified regardless of what I find. I'll check for: unencrypted PAN storage, logging of card data, insecure TLS configurations, and missing input validation on payment fields.\\\"\\n<commentary>\\nUse read-only-auditor when the non-modification guarantee needs to be enforced at the system level, not just trusted by convention.\\n</commentary>\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 18}, {"name": "se-security-reviewer", "path": "security/se-security-reviewer.md", "category": "security", "type": "agent", "description": "Security-focused code review specialist with OWASP Top 10, Zero Trust, LLM security, and enterprise security standards", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 112}, {"name": "security-auditor", "path": "security/security-auditor.md", "category": "security", "type": "agent", "description": "\"Use this agent when conducting comprehensive security audits, compliance assessments, or risk evaluations across systems, infrastructure, and processes. Invoke when you need systematic vulnerability analysis, compliance gap identification, or evidence-based security findings. Specifically:\\\\n\\\\n<example>\\\\nContext: An organization requires a comprehensive security audit to validate SOC 2 compliance before their annual certification review.\\\\nuser: \\\"We need a complete security audit covering all controls, infrastructure, and processes. Can you assess our current SOC 2 compliance status and identify gaps?\\\"\\\\nassistant: \\\"I'll conduct a systematic security audit examining your controls, configurations, and compliance posture. I'll review your security policies, assess control implementation, identify vulnerabilities and compliance gaps, prioritize findings by risk, and provide a detailed remediation roadmap with timelines.\\\"\\\\n<commentary>\\\\nUse the security-auditor when you need structured, comprehensive security assessments with compliance mapping and risk prioritization. This agent methodically reviews controls, collects evidence, and delivers audit findings.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A cloud-hosted application needs assessment before going to production to ensure it meets PCI DSS requirements and internal security standards.\\\\nuser: \\\"Before launch, we need to audit the application's security posture. Can you check encryption, access controls, data handling, and compliance with PCI DSS?\\\"\\\\nassistant: \\\"I'll perform a detailed security audit of your application covering authentication mechanisms, data protection, access controls, API security, and compliance alignment. I'll identify configuration gaps, test security controls, assess patch management, and recommend specific improvements for PCI DSS compliance.\\\"\\\\n<commentary>\\\\nInvoke security-auditor when you need objective, evidence-based assessment of specific systems or environments before critical milestones like production deployment or compliance certification.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: After a security incident, the organization wants an audit of incident response capabilities and overall security posture to prevent future occurrences.\\\\nuser: \\\"We just had a breach. Can you audit our incident response plan, detection capabilities, and overall risk management to identify what failed?\\\"\\\\nassistant: \\\"I'll conduct a post-incident audit examining your IR plan readiness, detection capabilities, response procedures, logging and monitoring, access controls that may have been compromised, and residual risk exposure. I'll classify findings by severity, assess what controls missed the incident, and provide a comprehensive remediation roadmap.\\\"\\\\n<commentary>\\\\nUse security-auditor for systematic post-incident analysis and broader security posture assessment when you need thorough, documented investigation with evidence collection and risk-based recommendations.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 3041}, {"name": "security-engineer", "path": "security/security-engineer.md", "category": "security", "type": "agent", "description": "\"Use this agent when implementing comprehensive security solutions across infrastructure, building automated security controls into CI/CD pipelines, or establishing compliance and vulnerability management programs. Invoke for threat modeling, zero-trust architecture design, security automation implementation, and shifting security left into development workflows. Specifically:\\\\n\\\\n<example>\\\\nContext: A development team is moving to microservices on Kubernetes and needs to implement security across infrastructure, container registries, and the deployment pipeline.\\\\nuser: \\\"We're deploying to Kubernetes and need to secure our infrastructure layer. We need container image scanning, network policies, secrets management, and automated compliance checks in our CI/CD pipeline.\\\"\\\\nassistant: \\\"I'll implement comprehensive DevSecOps automation. First, let me understand your current infrastructure and CI/CD setup. Then I'll deploy container image scanning with vulnerability reporting, configure Kubernetes network policies and pod security standards, integrate HashiCorp Vault for secrets management, and add SAST/DAST scanning to your pipeline. I'll ensure CIS Kubernetes benchmark compliance and provide metrics dashboards.\\\"\\\\n<commentary>\\\\nUse security-engineer when building proactive security controls into infrastructure and development pipelines. This agent automates security validation throughout the development lifecycle rather than addressing vulnerabilities reactively.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A company needs to achieve SOC 2 Type II compliance and has had security incidents due to unpatched systems and missing security controls.\\\\nuser: \\\"We need to implement a compliance program for SOC 2. We've had vulnerability breaches before, so we need automated scanning, patch management, audit trails, and evidence collection.\\\"\\\\nassistant: \\\"I'll architect your compliance program with automated evidence collection, vulnerability scanning across infrastructure, patch management automation with verification, and continuous compliance monitoring. I'll implement security scanning in your CI/CD, set up SIEM and log aggregation, create incident response playbooks, and establish audit trails meeting SOC 2 requirements.\\\"\\\\n<commentary>\\\\nInvoke security-engineer when establishing compliance frameworks and vulnerability management programs. This agent designs systems to prevent incidents through automated controls and provides evidence trails for audits.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An organization needs to modernize its security architecture from perimeter-based security to zero-trust principles.\\\\nuser: \\\"Design a zero-trust architecture for our cloud infrastructure. We currently have traditional firewall-based security, but we need identity-based access, micro-segmentation, and continuous verification.\\\"\\\\nassistant: \\\"I'll design and implement zero-trust architecture with identity-based access controls, implement micro-segmentation at network and application layers, set up continuous device and user verification using OIDC/SAML, configure mutual TLS for service communication, and deploy encrypted data protection. I'll provide phased migration strategy, monitoring for policy violations, and incident response automation.\\\"\\\\n<commentary>\\\\nUse security-engineer for architectural security decisions like zero-trust implementation, security automation design, and building systems resilient to breaches. This agent prevents incidents through systematic architectural improvements rather than reactive patching.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 223}, {"name": "stackhawk-security-onboarding", "path": "security/stackhawk-security-onboarding.md", "category": "security", "type": "agent", "description": "Automatically set up StackHawk security testing for your repository with generated configuration and GitHub Actions workflow", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 53}, {"name": "supply-chain-security", "path": "security/supply-chain-security.md", "category": "security", "type": "agent", "description": "", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 29}, {"name": "tdd-refactor", "path": "security/tdd-refactor.md", "category": "security", "type": "agent", "description": "Improve code quality, apply security best practices, and enhance design whilst maintaining green tests and GitHub issue compliance.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 74}, {"name": "terraform", "path": "security/terraform.md", "category": "security", "type": "agent", "description": "Terraform infrastructure specialist with automated HCP Terraform workflows. Leverages Terraform MCP server for registry integration, workspace management, and run orchestration. Generates compliant code using latest provider/module versions, manages private registries, automates variable sets, and orchestrates infrastructure deployments with proper validation and security practices.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 64}, {"name": "wg-code-sentinel", "path": "security/wg-code-sentinel.md", "category": "security", "type": "agent", "description": "Ask WG Code Sentinel to review your code for security issues.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 60}, {"name": "screenshot-business-analyzer", "path": "ui-analysis/screenshot-business-analyzer.md", "category": "ui-analysis", "type": "agent", "description": "Extracts business logic, functional modules, and data entities from UI screenshots", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 146}, {"name": "screenshot-interaction-analyzer", "path": "ui-analysis/screenshot-interaction-analyzer.md", "category": "ui-analysis", "type": "agent", "description": "Analyzes user interaction flows, clickable elements, and state transitions from UI screenshots", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 114}, {"name": "screenshot-reviewer", "path": "ui-analysis/screenshot-reviewer.md", "category": "ui-analysis", "type": "agent", "description": "Reviews synthesized task lists for completeness, consistency, and quality", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 131}, {"name": "screenshot-synthesizer", "path": "ui-analysis/screenshot-synthesizer.md", "category": "ui-analysis", "type": "agent", "description": "Synthesizes analysis results from multiple agents into a unified feature list and task breakdown", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 108}, {"name": "screenshot-ui-analyzer", "path": "ui-analysis/screenshot-ui-analyzer.md", "category": "ui-analysis", "type": "agent", "description": "Analyzes visual components, layout structure, and design patterns from UI screenshots", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 269}, {"name": "accessibility", "path": "web-tools/accessibility.md", "category": "web-tools", "type": "agent", "description": "Expert assistant for web accessibility (WCAG 2.1/2.2), inclusive UX, and a11y testing", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 114}, {"name": "aem-frontend-specialist", "path": "web-tools/aem-frontend-specialist.md", "category": "web-tools", "type": "agent", "description": "Expert assistant for developing AEM components using HTL, Tailwind CSS, and Figma-to-code workflows with design system integration", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 89}, {"name": "electron-angular-native", "path": "web-tools/electron-angular-native.md", "category": "web-tools", "type": "agent", "description": "Code Review Mode tailored for Electron app with Node.js backend (main), Angular frontend (render), and native integration layer (e.g., AppleScript, shell, or native tooling). Services in other repos are not reviewed here.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 70}, {"name": "expert-nextjs-developer", "path": "web-tools/expert-nextjs-developer.md", "category": "web-tools", "type": "agent", "description": "Expert Next.js 16 developer specializing in App Router, Server Components, Cache Components, Turbopack, and modern React patterns with TypeScript", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 324}, {"name": "expert-react-frontend-engineer", "path": "web-tools/expert-react-frontend-engineer.md", "category": "web-tools", "type": "agent", "description": "Expert React 19.2 frontend engineer specializing in modern hooks, Server Components, Actions, TypeScript, and performance optimization", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 376}, {"name": "java-mcp-expert", "path": "web-tools/java-mcp-expert.md", "category": "web-tools", "type": "agent", "description": "Expert assistance for building Model Context Protocol servers in Java using reactive streams, the official MCP Java SDK, and Spring Boot integration.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 90}, {"name": "lingodotdev-i18n", "path": "web-tools/lingodotdev-i18n.md", "category": "web-tools", "type": "agent", "description": "Expert at implementing internationalization (i18n) in web applications using a systematic, checklist-driven approach.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 83}, {"name": "nextjs-architecture-expert", "path": "web-tools/nextjs-architecture-expert.md", "category": "web-tools", "type": "agent", "description": "Master of Next.js best practices, App Router, Server Components, and performance optimization. Use PROACTIVELY for Next.js architecture decisions, migration strategies, and framework optimization.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1439}, {"name": "react-performance-optimizer", "path": "web-tools/react-performance-optimizer.md", "category": "web-tools", "type": "agent", "description": "Specialist in React performance patterns, bundle optimization, and Core Web Vitals. Use PROACTIVELY for React app performance tuning, rendering optimization, and production performance monitoring.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 612}, {"name": "se-responsible-ai-code", "path": "web-tools/se-responsible-ai-code.md", "category": "web-tools", "type": "agent", "description": "Responsible AI specialist ensuring AI works for everyone through bias prevention, accessibility compliance, ethical development, and inclusive design", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 66}, {"name": "search-ai-optimization-expert", "path": "web-tools/search-ai-optimization-expert.md", "category": "web-tools", "type": "agent", "description": "Expert guidance for modern search optimization: SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) with AI-ready content strategies", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 199}, {"name": "seo-analyzer", "path": "web-tools/seo-analyzer.md", "category": "web-tools", "type": "agent", "description": "SEO analysis and optimization specialist. Use PROACTIVELY for technical SEO audits, meta tag optimization, performance analysis, and search engine optimization recommendations.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 1187}, {"name": "url-context-validator", "path": "web-tools/url-context-validator.md", "category": "web-tools", "type": "agent", "description": "URL validation and contextual analysis specialist. Use PROACTIVELY for validating links not just for functionality but also for contextual appropriateness and alignment with surrounding content.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 198}, {"name": "url-link-extractor", "path": "web-tools/url-link-extractor.md", "category": "web-tools", "type": "agent", "description": "URL and link extraction specialist. Use PROACTIVELY for finding, extracting, and cataloging all URLs and links within website codebases, including internal links, external links, API endpoints, and asset references.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 238}, {"name": "web-accessibility-checker", "path": "web-tools/web-accessibility-checker.md", "category": "web-tools", "type": "agent", "description": "Web accessibility compliance specialist. Use PROACTIVELY for WCAG compliance audits, accessibility testing, screen reader compatibility, and inclusive design validation.", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 496}, {"name": "wordpress-master", "path": "web-tools/wordpress-master.md", "category": "web-tools", "type": "agent", "description": "\"Use this agent when you need to architect, optimize, or troubleshoot WordPress implementations ranging from custom theme/plugin development to enterprise-scale multisite platforms. Invoke this agent for performance optimization, security hardening, headless WordPress APIs, WooCommerce solutions, and scaling WordPress to handle millions of visitors. Specifically:\\\\n\\\\n<example>\\\\nContext: A WordPress site is experiencing slow load times and high database query counts during traffic spikes.\\\\nuser: \\\"Our WordPress site loads in 4 seconds with 200+ database queries per page. We're losing customers to slow performance. How do we optimize?\\\"\\\\nassistant: \\\"I'll audit your database queries, configuration, and caching strategy. I'll identify bottleneck queries, implement object caching with Redis, optimize your post queries with WP_Query improvements, set up page caching, and add image optimization. I'll target sub-1.5 second load times with <50 queries per page.\\\"\\\\n<commentary>\\\\nUse this agent when WordPress sites have performance issues. The agent will analyze database queries, implement caching strategies, and optimize infrastructure to achieve fast load times and improved Core Web Vitals.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: A business wants to launch a WooCommerce store on WordPress but needs custom checkout flows, payment integrations, and inventory management at scale.\\\\nuser: \\\"We're building a WooCommerce store with custom checkout logic, integration with our ERP system, and need to handle 10k+ daily orders. What's the best architecture?\\\"\\\\nassistant: \\\"I'll design a custom WooCommerce architecture with custom order flows, build REST API endpoints for your ERP integration, implement automated order processing, set up payment gateway handling with proper security, and design a database schema for high-volume orders. I'll also configure caching and database optimization for 10k daily transactions.\\\"\\\\n<commentary>\\\\nUse this agent when building complex e-commerce solutions on WordPress/WooCommerce. The agent designs custom architectures, integrations, and scaling strategies for high-volume operations.\\\\n</commentary>\\\\n</example>\\\\n\\\\n<example>\\\\nContext: An enterprise needs WordPress as a headless CMS feeding multiple frontend applications with secure API access and authentication.\\\\nuser: \\\"We want to use WordPress as a headless CMS for our web app, mobile app, and native applications. How do we set up a secure API with proper authentication?\\\"\\\\nassistant: \\\"I'll configure WordPress REST API endpoints optimized for your use cases, implement JWT authentication with refresh token strategies, set up CORS policies properly, create GraphQL endpoints for efficient data fetching, and design a caching strategy for API responses. I'll also implement rate limiting and API versioning for stability.\\\"\\\\n<commentary>\\\\nUse this agent when decoupling WordPress from presentation layers. The agent builds secure APIs, handles authentication/authorization, and optimizes data delivery for headless WordPress implementations.\\\\n</commentary>\\\\n</example>\"", "author": "", "repo": "", "version": "", "license": "", "keywords": [], "downloads": 221}]