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+
+
+
+
+# Skill Seekers
+
+English | [简体中文](README.zh-CN.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | [Español](README.es.md) | [Français](README.fr.md) | [Deutsch](README.de.md) | [Português](README.pt-BR.md) | [Türkçe](README.tr.md) | [العربية](README.ar.md) | [हिन्दी](README.hi.md) | [Русский](README.ru.md)
+
+[](https://github.com/yusufkaraaslan/Skill_Seekers/releases)
+[](https://opensource.org/licenses/MIT)
+[](https://www.python.org/downloads/)
+[](https://modelcontextprotocol.io)
+[](tests/)
+[](https://github.com/users/yusufkaraaslan/projects/2)
+[](https://pypi.org/project/skill-seekers/)
+[](https://pypi.org/project/skill-seekers/)
+[](https://pypi.org/project/skill-seekers/)
+[](https://skillseekersweb.com/)
+[](https://x.com/_yUSyUS_)
+[](https://github.com/yusufkaraaslan/Skill_Seekers)
+[](https://pepy.tech/projects/skill-seekers)
+
+
+
+**🧠 The data layer for AI systems.** Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and 10+ more source types into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours.
+
+> 🌐 **[Visit SkillSeekersWeb.com](https://skillseekersweb.com/)** - Browse 24+ preset configs, share your configs, and access complete documentation!
+
+> 📋 **[View Development Roadmap & Tasks](https://github.com/users/yusufkaraaslan/projects/2)** - 134 tasks across 10 categories, pick any to contribute!
+
+## 🌐 Ecosystem
+
+Skill Seekers is a multi-repo project. Here's where everything lives:
+
+| Repository | Description | Links |
+|-----------|-------------|-------|
+| **[Skill_Seekers](https://github.com/yusufkaraaslan/Skill_Seekers)** | Core CLI & MCP server (this repo) | [PyPI](https://pypi.org/project/skill-seekers/) |
+| **[skillseekersweb](https://github.com/yusufkaraaslan/skillseekersweb)** | Website & documentation | [Live](https://skillseekersweb.com/) |
+| **[skill-seekers-configs](https://github.com/yusufkaraaslan/skill-seekers-configs)** | Community config repository | |
+| **[skill-seekers-action](https://github.com/yusufkaraaslan/skill-seekers-action)** | GitHub Action for CI/CD | |
+| **[skill-seekers-plugin](https://github.com/yusufkaraaslan/skill-seekers-plugin)** | Claude Code plugin | |
+| **[homebrew-skill-seekers](https://github.com/yusufkaraaslan/homebrew-skill-seekers)** | Homebrew tap for macOS | |
+
+> **Want to contribute?** The website and configs repos are great starting points for new contributors!
+
+## 🧠 The Data Layer for AI Systems
+
+**Skill Seekers is the universal preprocessing layer** that sits between raw documentation and every AI system that consumes it. Whether you are building Claude skills, a LangChain RAG pipeline, or a Cursor `.cursorrules` file — the data preparation is identical. You do it once, and export to all targets.
+
+```bash
+# One command → structured knowledge asset
+skill-seekers create https://docs.react.dev/
+# or: skill-seekers create facebook/react
+# or: skill-seekers create ./my-project
+
+# Export to any AI system
+skill-seekers package output/react --target claude # → Claude AI Skill (ZIP)
+skill-seekers package output/react --target langchain # → LangChain Documents
+skill-seekers package output/react --target llama-index # → LlamaIndex TextNodes
+skill-seekers package output/react --target cursor # → .cursorrules
+skill-seekers package output/react --target ibm-bob # → IBM Bob skill directory
+```
+
+### What gets built
+
+| Output | Target | What it powers |
+|--------|--------|---------------|
+| **Claude Skill** (ZIP + YAML) | `--target claude` | Claude Code, Claude API |
+| **Gemini Skill** (tar.gz) | `--target gemini` | Google Gemini |
+| **OpenAI / Custom GPT** (ZIP) | `--target openai` | GPT-4o, custom assistants |
+| **LangChain Documents** | `--target langchain` | QA chains, agents, retrievers |
+| **LlamaIndex TextNodes** | `--target llama-index` | Query engines, chat engines |
+| **Haystack Documents** | `--target haystack` | Enterprise RAG pipelines |
+| **Pinecone-ready** (Markdown) | `--target markdown` | Vector upsert |
+| **ChromaDB / FAISS / Qdrant** | `--target chroma/faiss/qdrant` | Local vector DBs |
+| **IBM Bob Skill** (directory) | `--target ibm-bob` | IBM Bob project/global skills |
+| **Cursor** `.cursorrules` | `--target markdown` → copy SKILL.md | Cursor IDE `.cursorrules` |
+| **Windsurf / Cline / Continue** | `--target claude` → copy | VS Code, IntelliJ, Vim |
+
+### Why it matters
+
+- ⚡ **99% faster** — Days of manual data prep → 15–45 minutes
+- 🎯 **AI Skill quality** — 500+ line SKILL.md files with examples, patterns, and guides
+- 📊 **RAG-ready chunks** — Smart chunking preserves code blocks and maintains context
+- 🎬 **Videos** — Extract code, transcripts, and structured knowledge from YouTube and local videos
+- 🔄 **Multi-source** — Combine 18 source types (docs, GitHub, PDFs, videos, notebooks, wikis, and more) into one knowledge asset
+- 🌐 **One prep, every target** — Export the same asset to 21 platforms without re-scraping
+- ✅ **Battle-tested** — 3,700+ tests, 24+ framework presets, production-ready
+
+## 🚀 Quick Start (3 Commands)
+
+```bash
+# 1. Install
+pip install skill-seekers
+
+# 2. Create skill from any source
+skill-seekers create https://docs.django.com/
+
+# 3. Package for your AI platform
+skill-seekers package output/django --target claude
+```
+
+**That's it!** You now have `output/django-claude.zip` ready to use.
+
+```bash
+# Use a different AI agent for enhancement (default: claude)
+skill-seekers create https://docs.django.com/ --agent kimi
+skill-seekers create https://docs.django.com/ --agent codex
+skill-seekers create https://docs.django.com/ --agent-cmd "my-custom-agent run"
+```
+
+### 🛰️ AI-driven project scan (new)
+
+Point `scan` at any project and an AI agent reads its manifests, README,
+Dockerfile/CI and sampled source imports — then emits one config per detected
+framework plus a `-codebase.json` for your own code. Pins the
+detected version so re-running reports bumps:
+
+```bash
+skill-seekers scan ./my-react-app --out ./configs/scanned/
+# → react.json, vite.json, tailwind.json, jest.json, my-react-app-codebase.json
+
+# Then build any of them
+skill-seekers create ./configs/scanned/react.json
+```
+
+If a detection has no existing preset, the AI generates a fresh config; on
+exit you can optionally publish it back to the [community registry](https://github.com/yusufkaraaslan/skill-seekers-configs).
+
+### Other Sources (18 Supported)
+
+```bash
+# GitHub repository
+skill-seekers create facebook/react
+
+# Local project
+skill-seekers create ./my-project
+
+# PDF document
+skill-seekers create manual.pdf
+
+# Word document
+skill-seekers create report.docx
+
+# EPUB e-book
+skill-seekers create book.epub
+
+# Jupyter Notebook
+skill-seekers create notebook.ipynb
+
+# OpenAPI spec
+skill-seekers create openapi.yaml
+
+# PowerPoint presentation
+skill-seekers create presentation.pptx
+
+# AsciiDoc document
+skill-seekers create guide.adoc
+
+# Local HTML file (auto-detected by extension)
+skill-seekers create page.html
+
+# Whole directory of HTML files (auto-detected for HTML-dominant dirs)
+skill-seekers create ./mirror_output/site/
+
+# Force HTML mode on a mixed/code-heavy directory
+skill-seekers create ./repo/ --html-path ./repo/docs/build/html/
+
+# RSS/Atom feed
+skill-seekers create feed.rss
+
+# Man page
+skill-seekers create curl.1
+
+# Video (YouTube, Vimeo, or local file — requires skill-seekers[video])
+skill-seekers create --video-url https://www.youtube.com/watch?v=... --name mytutorial
+# First time? Auto-install GPU-aware visual deps:
+skill-seekers create --setup
+
+# Confluence wiki
+skill-seekers create --space-key TEAM --name wiki
+
+# Notion pages
+skill-seekers create --database-id ... --name docs
+
+# Slack/Discord chat export
+skill-seekers create --chat-export-path ./slack-export --name team-chat
+```
+
+### Export Everywhere
+
+```bash
+# Package for multiple platforms
+for platform in claude gemini openai langchain; do
+ skill-seekers package output/django --target $platform
+done
+```
+
+## What is Skill Seekers?
+
+Skill Seekers is the **data layer for AI systems**. It transforms 18 source types—documentation websites, GitHub repositories, PDFs, videos, Jupyter Notebooks, Word/EPUB/AsciiDoc documents, OpenAPI specs, PowerPoint presentations, RSS feeds, man pages, Confluence wikis, Notion pages, Slack/Discord exports, and more—into structured knowledge assets for every AI target:
+
+| Use Case | What you get | Examples |
+|----------|-------------|---------|
+| **AI Skills** | Comprehensive SKILL.md + references | Claude Code, Gemini, GPT |
+| **RAG Pipelines** | Chunked documents with rich metadata | LangChain, LlamaIndex, Haystack |
+| **Vector Databases** | Pre-formatted data ready for upsert | Pinecone, Chroma, Weaviate, FAISS |
+| **AI Coding Assistants** | Context files your IDE AI reads automatically | Cursor, Windsurf, Cline, Continue.dev |
+
+## 📚 Documentation
+
+| I want to... | Read this |
+|--------------|-----------|
+| **Get started quickly** | [Quick Start](docs/getting-started/02-quick-start.md) - 3 commands to first skill |
+| **Understand concepts** | [Core Concepts](docs/user-guide/01-core-concepts.md) - How it works |
+| **Scrape sources** | [Scraping Guide](docs/user-guide/02-scraping.md) - All source types |
+| **Enhance skills** | [Enhancement Guide](docs/user-guide/03-enhancement.md) - AI enhancement |
+| **Export skills** | [Packaging Guide](docs/user-guide/04-packaging.md) - Platform export |
+| **Look up commands** | [CLI Reference](docs/reference/CLI_REFERENCE.md) - All 20 commands |
+| **Configure** | [Config Format](docs/reference/CONFIG_FORMAT.md) - JSON specification |
+| **Fix issues** | [Troubleshooting](docs/user-guide/06-troubleshooting.md) - Common problems |
+
+**Complete documentation:** [docs/README.md](docs/README.md)
+
+Instead of spending days on manual preprocessing, Skill Seekers:
+
+1. **Ingests** — docs, GitHub repos, local codebases, PDFs, videos, notebooks, wikis, and 10+ more source types
+2. **Analyzes** — deep AST parsing, pattern detection, API extraction
+3. **Structures** — categorized reference files with metadata
+4. **Enhances** — AI-powered SKILL.md generation (Claude, Gemini, or local)
+5. **Exports** — 16 platform-specific formats from one asset
+
+## Why Use This?
+
+### For AI Skill Builders (Claude, Gemini, OpenAI)
+
+- 🎯 **Production-grade Skills** — 500+ line SKILL.md files with code examples, patterns, and guides
+- 🔄 **Enhancement Workflows** — Apply `security-focus`, `architecture-comprehensive`, or custom YAML presets
+- 🎮 **Any Domain** — Game engines (Godot, Unity), frameworks (React, Django), internal tools
+- 🔧 **Teams** — Combine internal docs + code into a single source of truth
+- 📚 **Quality** — AI-enhanced with examples, quick reference, and navigation guidance
+
+### For RAG Builders & AI Engineers
+
+- 🤖 **RAG-ready data** — Pre-chunked LangChain `Documents`, LlamaIndex `TextNodes`, Haystack `Documents`
+- 🚀 **99% faster** — Days of preprocessing → 15–45 minutes
+- 📊 **Smart metadata** — Categories, sources, types → better retrieval accuracy
+- 🔄 **Multi-source** — Combine docs + GitHub + PDFs + videos in one pipeline
+- 🌐 **Platform-agnostic** — Export to any vector DB or framework without re-scraping
+
+### For AI Coding Assistant Users
+
+- 💻 **Cursor / Windsurf / Cline** — Generate `.cursorrules` / `.windsurfrules` / `.clinerules` automatically
+- 🎯 **Persistent context** — AI "knows" your frameworks without repeated prompting
+- 📚 **Always current** — Update context in minutes when docs change
+
+## Key Features
+
+### 🌐 Documentation Scraping
+- ✅ **Smart SPA Discovery** - Three-layer discovery for JavaScript SPA sites (sitemap.xml → llms.txt → headless browser rendering)
+- ✅ **llms.txt Support** - Automatically detects and uses LLM-ready documentation files (10x faster)
+- ✅ **Universal Scraper** - Works with ANY documentation website
+- ✅ **Smart Categorization** - Automatically organizes content by topic
+- ✅ **Code Language Detection** - Recognizes Python, JavaScript, C++, GDScript, etc.
+- ✅ **24+ Ready-to-Use Presets** - Godot, React, Vue, Django, FastAPI, and more
+
+### 📄 PDF Support
+- ✅ **Basic PDF Extraction** - Extract text, code, and images from PDF files
+- ✅ **OCR for Scanned PDFs** - Extract text from scanned documents
+- ✅ **Password-Protected PDFs** - Handle encrypted PDFs
+- ✅ **Table Extraction** - Extract complex tables from PDFs
+- ✅ **Parallel Processing** - 3x faster for large PDFs
+- ✅ **Intelligent Caching** - 50% faster on re-runs
+
+### 🎬 Video Extraction
+- ✅ **YouTube & Local Videos** - Extract transcripts, on-screen code, and structured knowledge from videos
+- ✅ **Visual Frame Analysis** - OCR extraction from code editors, terminals, slides, and diagrams
+- ✅ **GPU Auto-Detection** - Automatically installs correct PyTorch build (CUDA/ROCm/MPS/CPU)
+- ✅ **AI Enhancement** - Two-pass: clean OCR artifacts + generate polished SKILL.md
+- ✅ **Time Clipping** - Extract specific sections with `--start-time` and `--end-time`
+- ✅ **Playlist Support** - Batch process all videos in a YouTube playlist
+- ✅ **Vision API Fallback** - Use Claude Vision for low-confidence OCR frames
+
+### 🐙 GitHub Repository Analysis
+- ✅ **Deep Code Analysis** - AST parsing for Python, JavaScript, TypeScript, Java, C++, Go
+- ✅ **API Extraction** - Functions, classes, methods with parameters and types
+- ✅ **Repository Metadata** - README, file tree, language breakdown, stars/forks
+- ✅ **GitHub Issues & PRs** - Fetch open/closed issues with labels and milestones
+- ✅ **CHANGELOG & Releases** - Automatically extract version history
+- ✅ **Conflict Detection** - Compare documented APIs vs actual code implementation
+- ✅ **MCP Integration** - Natural language: "Scrape GitHub repo facebook/react"
+
+### 🔄 Unified Multi-Source Scraping
+- ✅ **Combine Multiple Sources** - Mix documentation + GitHub + PDF in one skill
+- ✅ **Conflict Detection** - Automatically finds discrepancies between docs and code
+- ✅ **Intelligent Merging** - Rule-based or AI-powered conflict resolution
+- ✅ **Transparent Reporting** - Side-by-side comparison with ⚠️ warnings
+- ✅ **Documentation Gap Analysis** - Identifies outdated docs and undocumented features
+- ✅ **Single Source of Truth** - One skill showing both intent (docs) and reality (code)
+- ✅ **Backward Compatible** - Legacy single-source configs still work
+
+### 🤖 Multi-LLM Platform Support
+- ✅ **12 LLM Platforms** - Claude AI, Google Gemini, OpenAI ChatGPT, MiniMax AI, Generic Markdown, OpenCode, Kimi (Moonshot AI), DeepSeek AI, Qwen (Alibaba), OpenRouter, Together AI, Fireworks AI
+- ✅ **Universal Scraping** - Same documentation works for all platforms
+- ✅ **Platform-Specific Packaging** - Optimized formats for each LLM
+- ✅ **One-Command Export** - `--target` flag selects platform
+- ✅ **Optional Dependencies** - Install only what you need
+- ✅ **100% Backward Compatible** - Existing Claude workflows unchanged
+
+| Platform | Format | Upload | Enhancement | API Key | Custom Endpoint |
+|----------|--------|--------|-------------|---------|-----------------|
+| **Claude AI** | ZIP + YAML | ✅ Auto | ✅ Yes | ANTHROPIC_API_KEY | ANTHROPIC_BASE_URL |
+| **Google Gemini** | tar.gz | ✅ Auto | ✅ Yes | GOOGLE_API_KEY | - |
+| **OpenAI ChatGPT** | ZIP + Vector Store | ✅ Auto | ✅ Yes | OPENAI_API_KEY | - |
+| **MiniMax AI** | ZIP + Knowledge Files | ✅ Auto | ✅ Yes | MINIMAX_API_KEY | - |
+| **Generic Markdown** | ZIP | ❌ Manual | ❌ No | - | - |
+
+```bash
+# Claude (default - no changes needed!)
+skill-seekers package output/react/
+skill-seekers upload react.zip
+
+# Google Gemini
+pip install skill-seekers[gemini]
+skill-seekers package output/react/ --target gemini
+skill-seekers upload react-gemini.tar.gz --target gemini
+
+# OpenAI ChatGPT
+pip install skill-seekers[openai]
+skill-seekers package output/react/ --target openai
+skill-seekers upload react-openai.zip --target openai
+
+# MiniMax AI
+pip install skill-seekers[minimax]
+skill-seekers package output/react/ --target minimax
+skill-seekers upload react-minimax.zip --target minimax
+
+# Generic Markdown (universal export)
+skill-seekers package output/react/ --target markdown
+# Use the markdown files directly in any LLM
+```
+
+
+🔧 Use your own AI provider (OpenAI-compatible endpoints + subscriptions, no Anthropic credits needed)
+
+The optional AI **enhancement** step (used by `create`, `scan`, and `enhance`) does **not** require an Anthropic key. You have three ways to power it:
+
+**1. Use a subscription you already pay for — no API credits at all (LOCAL agent mode)**
+
+Skill Seekers can shell out to a coding-agent CLI you're already logged into, so enhancement runs on your existing plan instead of metered API tokens:
+
+```bash
+skill-seekers create --agent codex # OpenAI Codex CLI → your ChatGPT Plus
+skill-seekers create --agent claude # Claude Code → your Claude Pro/Max
+```
+
+Supported agents: `claude`, `codex`, `copilot`, `opencode`, `kimi`, and `custom`
+(pair `--agent custom` with `--agent-cmd " ..."` to drive any other tool).
+
+**2. Any OpenAI-compatible provider (OpenRouter, Groq, Cerebras, Mistral, NVIDIA NIM, …)**
+
+All of these expose an OpenAI-compatible `/v1` endpoint. Point Skill Seekers at one with three env vars — it detects `OPENAI_API_KEY`, and the OpenAI SDK honors `OPENAI_BASE_URL` automatically:
+
+```bash
+export OPENAI_API_KEY=""
+export OPENAI_BASE_URL="https://openrouter.ai/api/v1" # provider endpoint (see table)
+export OPENAI_MODEL="" # required — default gpt-4o won't exist elsewhere
+skill-seekers create
+```
+
+| Provider | `OPENAI_BASE_URL` |
+|--------------|--------------------------------------------|
+| OpenRouter | `https://openrouter.ai/api/v1` |
+| Groq | `https://api.groq.com/openai/v1` |
+| Cerebras | `https://api.cerebras.ai/v1` |
+| Mistral | `https://api.mistral.ai/v1` |
+| NVIDIA NIM | `https://integrate.api.nvidia.com/v1` |
+
+> Provider detection picks the **first** API-key env var it finds (`ANTHROPIC_API_KEY` → `GOOGLE_API_KEY` → `OPENAI_API_KEY` → `MOONSHOT_API_KEY`). Set `SKILL_SEEKER_PROVIDER` to force a specific provider, or make sure the higher-priority keys are unset.
+
+**3. Claude-compatible endpoints (e.g. GLM, proxies)**
+
+```bash
+export ANTHROPIC_API_KEY="your-key"
+export ANTHROPIC_BASE_URL="https://your-claude-compatible-endpoint/v1"
+```
+
+Google Gemini (`GOOGLE_API_KEY`) and Kimi/Moonshot (`MOONSHOT_API_KEY`) are also supported natively. See **[Environment Variables Reference](docs/reference/ENVIRONMENT_VARIABLES.md#llm-provider-selection)** for the full list, including per-provider model overrides.
+
+
+
+**Installation:**
+```bash
+# Install with Gemini support
+pip install skill-seekers[gemini]
+
+# Install with OpenAI support
+pip install skill-seekers[openai]
+
+# Install with MiniMax support
+pip install skill-seekers[minimax]
+
+# Install with all LLM platforms
+pip install skill-seekers[all-llms]
+```
+
+### 🔗 RAG Framework Integrations
+
+- ✅ **LangChain Documents** - Direct export to `Document` format with `page_content` + metadata
+ - Perfect for: QA chains, retrievers, vector stores, agents
+ - Example: [LangChain RAG Pipeline](examples/langchain-rag-pipeline/)
+ - Guide: [LangChain Integration](docs/integrations/LANGCHAIN.md)
+
+- ✅ **LlamaIndex TextNodes** - Export to `TextNode` format with unique IDs + embeddings
+ - Perfect for: Query engines, chat engines, storage context
+ - Example: [LlamaIndex Query Engine](examples/llama-index-query-engine/)
+ - Guide: [LlamaIndex Integration](docs/integrations/LLAMA_INDEX.md)
+
+- ✅ **Pinecone-Ready Format** - Optimized for vector database upsert
+ - Perfect for: Production vector search, semantic search, hybrid search
+ - Example: [Pinecone Upsert](examples/pinecone-upsert/)
+ - Guide: [Pinecone Integration](docs/integrations/PINECONE.md)
+
+**Quick Export:**
+```bash
+# LangChain Documents (JSON)
+skill-seekers package output/django --target langchain
+# → output/django-langchain.json
+
+# LlamaIndex TextNodes (JSON)
+skill-seekers package output/django --target llama-index
+# → output/django-llama-index.json
+
+# Markdown (Universal)
+skill-seekers package output/django --target markdown
+# → output/django-markdown/SKILL.md + references/
+```
+
+**Complete RAG Pipeline Guide:** [RAG Pipelines Documentation](docs/integrations/RAG_PIPELINES.md)
+
+---
+
+### 🧠 AI Coding Assistant Integrations
+
+Transform any framework documentation into expert coding context for 4+ AI assistants:
+
+- ✅ **Cursor IDE** - Generate `.cursorrules` for AI-powered code suggestions
+ - Perfect for: Framework-specific code generation, consistent patterns
+ - Works with: Cursor IDE (VS Code fork)
+ - Guide: [Cursor Integration](docs/integrations/CURSOR.md)
+ - Example: [Cursor React Skill](examples/cursor-react-skill/)
+
+- ✅ **Windsurf** - Customize Windsurf's AI assistant context with `.windsurfrules`
+ - Perfect for: IDE-native AI assistance, flow-based coding
+ - Works with: Windsurf IDE by Codeium
+ - Guide: [Windsurf Integration](docs/integrations/WINDSURF.md)
+ - Example: [Windsurf FastAPI Context](examples/windsurf-fastapi-context/)
+
+- ✅ **Cline (VS Code)** - System prompts + MCP for VS Code agent
+ - Perfect for: Agentic code generation in VS Code
+ - Works with: Cline extension for VS Code
+ - Guide: [Cline Integration](docs/integrations/CLINE.md)
+ - Example: [Cline Django Assistant](examples/cline-django-assistant/)
+
+- ✅ **Continue.dev** - Context servers for IDE-agnostic AI
+ - Perfect for: Multi-IDE environments (VS Code, JetBrains, Vim), custom LLM providers
+ - Works with: Any IDE with Continue.dev plugin
+ - Guide: [Continue Integration](docs/integrations/CONTINUE_DEV.md)
+ - Example: [Continue Universal Context](examples/continue-dev-universal/)
+
+**Quick Export for AI Coding Tools:**
+```bash
+# For any AI coding assistant (Cursor, Windsurf, Cline, Continue.dev)
+skill-seekers create --config configs/django.json
+skill-seekers package output/django --target claude # or --target markdown
+
+# Copy to your project (example for Cursor)
+cp output/django-claude/SKILL.md my-project/.cursorrules
+
+# Or for Windsurf
+cp output/django-claude/SKILL.md my-project/.windsurf/rules/django.md
+
+# Or for Cline
+cp output/django-claude/SKILL.md my-project/.clinerules
+
+# Or for Continue.dev (HTTP server)
+python examples/continue-dev-universal/context_server.py
+# Configure in ~/.continue/config.json
+```
+
+**Integration Hub:** [All AI System Integrations](docs/integrations/INTEGRATIONS.md)
+
+---
+
+### 🌊 Three-Stream GitHub Architecture
+- ✅ **Triple-Stream Analysis** - Split GitHub repos into Code, Docs, and Insights streams
+- ✅ **Unified Codebase Analyzer** - Works with GitHub URLs AND local paths
+- ✅ **C3.x as Analysis Depth** - Choose 'basic' (1-2 min) or 'c3x' (20-60 min) analysis
+- ✅ **Enhanced Router Generation** - GitHub metadata, README quick start, common issues
+- ✅ **Issue Integration** - Top problems and solutions from GitHub issues
+- ✅ **Smart Routing Keywords** - GitHub labels weighted 2x for better topic detection
+
+**Three Streams Explained:**
+- **Stream 1: Code** - Deep C3.x analysis (patterns, examples, guides, configs, architecture)
+- **Stream 2: Docs** - Repository documentation (README, CONTRIBUTING, docs/*.md)
+- **Stream 3: Insights** - Community knowledge (issues, labels, stars, forks)
+
+```python
+from skill_seekers.cli.unified_codebase_analyzer import UnifiedCodebaseAnalyzer
+
+# Analyze GitHub repo with all three streams
+analyzer = UnifiedCodebaseAnalyzer()
+result = analyzer.analyze(
+ source="https://github.com/facebook/react",
+ depth="c3x", # or "basic" for fast analysis
+ fetch_github_metadata=True
+)
+
+# Access code stream (C3.x analysis)
+print(f"Design patterns: {len(result.code_analysis['c3_1_patterns'])}")
+print(f"Test examples: {result.code_analysis['c3_2_examples_count']}")
+
+# Access docs stream (repository docs)
+print(f"README: {result.github_docs['readme'][:100]}")
+
+# Access insights stream (GitHub metadata)
+print(f"Stars: {result.github_insights['metadata']['stars']}")
+print(f"Common issues: {len(result.github_insights['common_problems'])}")
+```
+
+**See complete documentation**: [Three-Stream Implementation Summary](docs/archive/historical/IMPLEMENTATION_SUMMARY_THREE_STREAM.md)
+
+### 🔐 Smart Rate Limit Management & Configuration
+- ✅ **Multi-Token Configuration System** - Manage multiple GitHub accounts (personal, work, OSS)
+ - Secure config storage at `~/.config/skill-seekers/config.json` (600 permissions)
+ - Per-profile rate limit strategies: `prompt`, `wait`, `switch`, `fail`
+ - Configurable timeout per profile (default: 30 min, prevents indefinite waits)
+ - Smart fallback chain: CLI arg → Env var → Config file → Prompt
+ - API key management for Claude, Gemini, OpenAI
+- ✅ **Interactive Configuration Wizard** - Beautiful terminal UI for easy setup
+ - Browser integration for token creation (auto-opens GitHub, etc.)
+ - Token validation and connection testing
+ - Visual status display with color coding
+- ✅ **Intelligent Rate Limit Handler** - No more indefinite waits!
+ - Upfront warning about rate limits (60/hour vs 5000/hour)
+ - Real-time detection from GitHub API responses
+ - Live countdown timers with progress
+ - Automatic profile switching when rate limited
+ - Four strategies: prompt (ask), wait (countdown), switch (try another), fail (abort)
+- ✅ **Resume Capability** - Continue interrupted jobs
+ - Auto-save progress at configurable intervals (default: 60 sec)
+ - List all resumable jobs with progress details
+ - Auto-cleanup of old jobs (default: 7 days)
+- ✅ **CI/CD Support** - Non-interactive mode for automation
+ - `--non-interactive` flag fails fast without prompts
+ - `--profile` flag to select specific GitHub account
+ - Clear error messages for pipeline logs
+
+**Quick Setup:**
+```bash
+# One-time configuration (5 minutes)
+skill-seekers config --github
+
+# Use specific profile for private repos
+skill-seekers create mycompany/private-repo --profile work
+
+# CI/CD mode (fail fast, no prompts)
+skill-seekers create owner/repo --non-interactive
+
+# Resume interrupted job
+skill-seekers resume --list
+skill-seekers resume github_react_20260117_143022
+```
+
+**Rate Limit Strategies Explained:**
+- **prompt** (default) - Ask what to do when rate limited (wait, switch, setup token, cancel)
+- **wait** - Automatically wait with countdown timer (respects timeout)
+- **switch** - Automatically try next available profile (for multi-account setups)
+- **fail** - Fail immediately with clear error (perfect for CI/CD)
+
+### 🎯 Bootstrap Skill - Self-Hosting
+
+Generate skill-seekers as a skill to use within your AI agent (Claude Code, Kimi, Codex, etc.):
+
+```bash
+# Generate the skill
+./scripts/bootstrap_skill.sh
+
+# Install to Claude Code
+cp -r output/skill-seekers ~/.claude/skills/
+```
+
+**What you get:**
+- ✅ **Complete skill documentation** - All CLI commands and usage patterns
+- ✅ **CLI command reference** - Every tool and its options documented
+- ✅ **Quick start examples** - Common workflows and best practices
+- ✅ **Auto-generated API docs** - Code analysis, patterns, and examples
+
+### 🔐 Private Config Repositories
+- ✅ **Git-Based Config Sources** - Fetch configs from private/team git repositories
+- ✅ **Multi-Source Management** - Register unlimited GitHub, GitLab, Bitbucket repos
+- ✅ **Team Collaboration** - Share custom configs across 3-5 person teams
+- ✅ **Enterprise Support** - Scale to 500+ developers with priority-based resolution
+- ✅ **Secure Authentication** - Environment variable tokens (GITHUB_TOKEN, GITLAB_TOKEN)
+- ✅ **Intelligent Caching** - Clone once, pull updates automatically
+- ✅ **Offline Mode** - Work with cached configs when offline
+
+### 🤖 Codebase Analysis (C3.x)
+
+**C3.4: Configuration Pattern Extraction with AI Enhancement**
+- ✅ **9 Config Formats** - JSON, YAML, TOML, ENV, INI, Python, JavaScript, Dockerfile, Docker Compose
+- ✅ **7 Pattern Types** - Database, API, logging, cache, email, auth, server configurations
+- ✅ **AI Enhancement** - Optional dual-mode AI analysis (API + LOCAL)
+ - Explains what each config does
+ - Suggests best practices and improvements
+ - **Security analysis** - Finds hardcoded secrets, exposed credentials
+- ✅ **Auto-Documentation** - Generates JSON + Markdown documentation of all configs
+- ✅ **MCP Integration** - `extract_config_patterns` tool with enhancement support
+
+**C3.3: AI-Enhanced How-To Guides**
+- ✅ **Comprehensive AI Enhancement** - Transforms basic guides into professional tutorials
+- ✅ **5 Automatic Improvements** - Step descriptions, troubleshooting, prerequisites, next steps, use cases
+- ✅ **Dual-Mode Support** - API mode (Claude API) or LOCAL mode (Claude Code CLI)
+- ✅ **No API Costs with LOCAL Mode** - FREE enhancement using your Claude Code Max plan
+- ✅ **Quality Transformation** - 75-line templates → 500+ line comprehensive guides
+
+**Usage:**
+```bash
+# Quick analysis (1-2 min, basic features only)
+skill-seekers scan tests/ --quick
+
+# Comprehensive analysis with AI (20-60 min, all features)
+skill-seekers scan tests/ --comprehensive
+
+# With AI enhancement
+skill-seekers scan tests/ --enhance
+```
+
+**Full Documentation:** [docs/features/HOW_TO_GUIDES.md](docs/features/HOW_TO_GUIDES.md#ai-enhancement-new)
+
+### 🔄 Enhancement Workflow Presets
+
+Reusable YAML-defined enhancement pipelines that control how AI transforms your raw documentation into a polished skill.
+
+- ✅ **5 Bundled Presets** — `default`, `minimal`, `security-focus`, `architecture-comprehensive`, `api-documentation`
+- ✅ **User-Defined Presets** — add custom workflows to `~/.config/skill-seekers/workflows/`
+- ✅ **Multiple Workflows** — chain two or more workflows in one command
+- ✅ **Fully Managed CLI** — list, inspect, copy, add, remove, and validate workflows
+
+```bash
+# Apply a single workflow
+skill-seekers create ./my-project --enhance-workflow security-focus
+
+# Chain multiple workflows (applied in order)
+skill-seekers create ./my-project \
+ --enhance-workflow security-focus \
+ --enhance-workflow minimal
+
+# Manage presets
+skill-seekers workflows list # List all (bundled + user)
+skill-seekers workflows show security-focus # Print YAML content
+skill-seekers workflows copy security-focus # Copy to user dir for editing
+skill-seekers workflows add ./my-workflow.yaml # Install a custom preset
+skill-seekers workflows remove my-workflow # Remove a user preset
+skill-seekers workflows validate security-focus # Validate preset structure
+
+# Copy multiple at once
+skill-seekers workflows copy security-focus minimal api-documentation
+
+# Add multiple files at once
+skill-seekers workflows add ./wf-a.yaml ./wf-b.yaml
+
+# Remove multiple at once
+skill-seekers workflows remove my-wf-a my-wf-b
+```
+
+**YAML preset format:**
+```yaml
+name: security-focus
+description: "Security-focused review: vulnerabilities, auth, data handling"
+version: "1.0"
+stages:
+ - name: vulnerabilities
+ type: custom
+ prompt: "Review for OWASP top 10 and common security vulnerabilities..."
+ - name: auth-review
+ type: custom
+ prompt: "Examine authentication and authorisation patterns..."
+ uses_history: true
+```
+
+### ⚡ Performance & Scale
+- ✅ **Async Mode** - 2-3x faster scraping with async/await (use `--async` flag)
+- ✅ **Large Documentation Support** - Handle 10K-40K+ page docs with intelligent splitting
+- ✅ **Router/Hub Skills** - Intelligent routing to specialized sub-skills
+- ✅ **Parallel Scraping** - Process multiple skills simultaneously
+- ✅ **Checkpoint/Resume** - Never lose progress on long scrapes
+- ✅ **Caching System** - Scrape once, rebuild instantly
+
+### 🤖 Agent-Agnostic Skill Generation
+- ✅ **Multi-Agent Support** - Generate skills for Claude, Kimi, Codex, Copilot, OpenCode, or any custom agent via `--agent` flag
+- ✅ **Custom Agent Commands** - Use `--agent-cmd` to specify a custom agent CLI command for enhancement
+- ✅ **Universal Flags** - `--agent` and `--agent-cmd` available on all commands (create, scrape, github, pdf, etc.)
+
+### 📦 Marketplace Pipeline
+- ✅ **Publish to Marketplace** - Publish skills to Claude Code plugin marketplace repos
+- ✅ **End-to-End Pipeline** - From documentation source to published marketplace entry
+
+### ✅ Quality Assurance
+- ✅ **Fully Tested** - 3,700+ tests with comprehensive coverage
+
+---
+
+## 📦 Installation
+
+```bash
+# Basic install (documentation scraping, GitHub analysis, PDF, packaging)
+pip install skill-seekers
+
+# With all LLM platform support
+pip install skill-seekers[all-llms]
+
+# With MCP server
+pip install skill-seekers[mcp]
+
+# Everything
+pip install skill-seekers[all]
+```
+
+**Need help choosing?** Run the setup wizard:
+```bash
+skill-seekers-setup
+```
+
+### Installation Options
+
+| Install | Features |
+|---------|----------|
+| `pip install skill-seekers` | Scraping, GitHub analysis, PDF, all platforms |
+| `pip install skill-seekers[gemini]` | + Google Gemini support |
+| `pip install skill-seekers[openai]` | + OpenAI ChatGPT support |
+| `pip install skill-seekers[all-llms]` | + All LLM platforms |
+| `pip install skill-seekers[mcp]` | + MCP server for Claude Code, Cursor, etc. |
+| `pip install skill-seekers[video]` | + YouTube/Vimeo transcript & metadata extraction |
+| `pip install skill-seekers[video-full]` | + Whisper transcription & visual frame extraction |
+| `pip install skill-seekers[jupyter]` | + Jupyter Notebook support |
+| `pip install skill-seekers[pptx]` | + PowerPoint support |
+| `pip install skill-seekers[confluence]` | + Confluence wiki support |
+| `pip install skill-seekers[notion]` | + Notion pages support |
+| `pip install skill-seekers[rss]` | + RSS/Atom feed support |
+| `pip install skill-seekers[chat]` | + Slack/Discord chat export support |
+| `pip install skill-seekers[asciidoc]` | + AsciiDoc document support |
+| `pip install skill-seekers[all]` | Everything enabled |
+
+> **Video visual deps (GPU-aware):** After installing `skill-seekers[video-full]`, run
+> `skill-seekers create --setup` to auto-detect your GPU and install the correct PyTorch
+> variant + easyocr. This is the recommended way to install visual extraction dependencies.
+
+---
+
+## 🚀 One-Command Install Workflow
+
+**The fastest way to go from config to uploaded skill - complete automation:**
+
+```bash
+# Install React skill from official configs (auto-uploads to Claude)
+skill-seekers install --config react
+
+# Install from local config file
+skill-seekers install --config configs/custom.json
+
+# Install without uploading (package only)
+skill-seekers install --config django --no-upload
+
+# Preview workflow without executing
+skill-seekers install --config react --dry-run
+```
+
+**Time:** 20-45 minutes total | **Quality:** Production-ready (9/10) | **Cost:** Free
+
+**Phases executed:**
+```
+📥 PHASE 1: Fetch Config (if config name provided)
+📖 PHASE 2: Scrape Documentation
+✨ PHASE 3: AI Enhancement (MANDATORY - no skip option)
+📦 PHASE 4: Package Skill
+☁️ PHASE 5: Upload to Claude (optional, requires API key)
+```
+
+**Requirements:**
+- ANTHROPIC_API_KEY environment variable (for auto-upload)
+- Claude Code Max plan (for local AI enhancement), or use `--agent` to select a different AI agent
+
+---
+
+## 📊 Feature Matrix
+
+Skill Seekers supports **12 LLM platforms**, **8 RAG/vector targets**, **18 source types**, and full feature parity across all targets.
+
+**Platforms:** Claude AI, Google Gemini, OpenAI ChatGPT, MiniMax AI, Generic Markdown, OpenCode, Kimi (Moonshot AI), DeepSeek AI, Qwen (Alibaba), OpenRouter, Together AI, Fireworks AI
+**Source Types:** Documentation websites, GitHub repos, PDFs, Word (.docx), EPUB, Video, Local codebases, Jupyter Notebooks, Local HTML, OpenAPI/Swagger, AsciiDoc, PowerPoint (.pptx), RSS/Atom feeds, Man pages, Confluence wikis, Notion pages, Slack/Discord chat exports
+
+See [Complete Feature Matrix](docs/reference/FEATURE_MATRIX.md) for detailed platform and feature support.
+
+### Quick Platform Comparison
+
+| Feature | Claude | Gemini | OpenAI | MiniMax | Markdown |
+|---------|--------|--------|--------|--------|----------|
+| Format | ZIP + YAML | tar.gz | ZIP + Vector | ZIP + Knowledge | ZIP |
+| Upload | ✅ API | ✅ API | ✅ API | ✅ API | ❌ Manual |
+| Enhancement | ✅ Sonnet 4 | ✅ 2.0 Flash | ✅ GPT-4o | ✅ M3 | ❌ None |
+| All Skill Modes | ✅ | ✅ | ✅ | ✅ | ✅ |
+
+---
+
+## Usage Examples
+
+### Documentation Scraping
+
+```bash
+# Scrape documentation website
+skill-seekers create --config configs/react.json
+
+# Quick scrape without config
+skill-seekers create https://react.dev --name react
+
+# With async mode (3x faster)
+skill-seekers create --config configs/godot.json --async --workers 8
+
+# Use a specific AI agent for enhancement
+skill-seekers create --config configs/react.json --agent kimi
+```
+
+### PDF Extraction
+
+```bash
+# Basic PDF extraction
+skill-seekers create --pdf docs/manual.pdf --name myskill
+
+# Advanced features
+skill-seekers create --pdf docs/manual.pdf --name myskill \
+ --extract-tables \ # Extract tables
+ --parallel \ # Fast parallel processing
+ --workers 8 # Use 8 CPU cores
+
+# Scanned PDFs (requires: pip install pytesseract Pillow)
+skill-seekers create --pdf docs/scanned.pdf --name myskill --ocr
+```
+
+### Video Extraction
+
+```bash
+# Install video support
+pip install skill-seekers[video] # Transcripts + metadata
+pip install skill-seekers[video-full] # + Whisper + visual frame extraction
+
+# Auto-detect GPU and install visual deps (PyTorch + easyocr)
+skill-seekers create --setup
+
+# Extract from YouTube video
+skill-seekers create --video-url https://www.youtube.com/watch?v=dQw4w9WgXcQ --name mytutorial
+
+# Extract from a YouTube playlist
+skill-seekers create --video-playlist https://www.youtube.com/playlist?list=... --name myplaylist
+
+# Extract from a local video file
+skill-seekers create --video-file recording.mp4 --name myrecording
+
+# Extract with visual frame analysis (requires video-full deps)
+skill-seekers create --video-url https://www.youtube.com/watch?v=... --name mytutorial --visual
+
+# With AI enhancement (cleans OCR + generates polished SKILL.md)
+skill-seekers create --video-url https://www.youtube.com/watch?v=... --visual --enhance-level 2
+
+# Clip a specific section of a video (supports seconds, MM:SS, HH:MM:SS)
+skill-seekers create --video-url https://www.youtube.com/watch?v=... --start-time 1:30 --end-time 5:00
+
+# Use Vision API for low-confidence OCR frames (requires ANTHROPIC_API_KEY)
+skill-seekers create --video-url https://www.youtube.com/watch?v=... --visual --vision-ocr
+
+# Re-build skill from previously extracted data (skip download)
+skill-seekers create --from-json output/mytutorial/video_data/extracted_data.json --name mytutorial
+```
+
+> **Full guide:** See [docs/VIDEO_GUIDE.md](docs/VIDEO_GUIDE.md) for complete CLI reference,
+> visual pipeline details, AI enhancement options, and troubleshooting.
+
+### GitHub Repository Analysis
+
+```bash
+# Basic repository scraping
+skill-seekers create facebook/react
+
+# With authentication (higher rate limits)
+export GITHUB_TOKEN=ghp_your_token_here
+skill-seekers create facebook/react
+
+# Customize what to include
+skill-seekers create django/django \
+ --include-issues \ # Extract GitHub Issues
+ --max-issues 100 \ # Limit issue count
+ --include-changelog # Extract CHANGELOG.md
+```
+
+### Unified Multi-Source Scraping
+
+**Combine documentation + GitHub + PDF into one unified skill with conflict detection:**
+
+```bash
+# Use existing unified configs
+skill-seekers create --config configs/react_unified.json
+skill-seekers create --config configs/django_unified.json
+
+# Or create unified config
+cat > configs/myframework_unified.json << 'EOF'
+{
+ "name": "myframework",
+ "merge_mode": "rule-based",
+ "sources": [
+ {
+ "type": "documentation",
+ "base_url": "https://docs.myframework.com/",
+ "max_pages": 200
+ },
+ {
+ "type": "github",
+ "repo": "owner/myframework",
+ "code_analysis_depth": "surface"
+ }
+ ]
+}
+EOF
+
+skill-seekers create --config configs/myframework_unified.json
+```
+
+**Conflict Detection automatically finds:**
+- 🔴 **Missing in code** (high): Documented but not implemented
+- 🟡 **Missing in docs** (medium): Implemented but not documented
+- ⚠️ **Signature mismatch**: Different parameters/types
+- ℹ️ **Description mismatch**: Different explanations
+
+**Full Guide:** See [docs/features/UNIFIED_SCRAPING.md](docs/features/UNIFIED_SCRAPING.md) for complete documentation.
+
+### Private Config Repositories
+
+**Share custom configs across teams using private git repositories:**
+
+```bash
+# Option 1: Using MCP tools (recommended)
+# Register your team's private repo
+add_config_source(
+ name="team",
+ git_url="https://github.com/mycompany/skill-configs.git",
+ token_env="GITHUB_TOKEN"
+)
+
+# Fetch config from team repo
+fetch_config(source="team", config_name="internal-api")
+```
+
+**Supported Platforms:**
+- GitHub (`GITHUB_TOKEN`), GitLab (`GITLAB_TOKEN`), Gitea (`GITEA_TOKEN`), Bitbucket (`BITBUCKET_TOKEN`)
+
+**Full Guide:** See [docs/reference/GIT_CONFIG_SOURCES.md](docs/reference/GIT_CONFIG_SOURCES.md) for complete documentation.
+
+## How It Works
+
+```mermaid
+graph LR
+ A[Documentation Website] --> B[Skill Seekers]
+ B --> C[Scraper]
+ B --> D[AI Enhancement]
+ B --> E[Packager]
+ C --> F[Organized References]
+ D --> F
+ F --> E
+ E --> G[AI Skill .zip]
+ G --> H[Upload to AI Platform]
+```
+
+0. **Detect llms.txt** - Checks for llms-full.txt, llms.txt, llms-small.txt first (part of Smart SPA Discovery)
+1. **Scrape**: Extracts all pages from documentation
+2. **Categorize**: Organizes content into topics (API, guides, tutorials, etc.)
+3. **Enhance**: AI analyzes docs and creates comprehensive SKILL.md with examples (supports multiple agents via `--agent`)
+4. **Package**: Bundles everything into a platform-ready `.zip` file
+
+## Architecture
+
+The system is organized into **8 core modules** and **5 utility modules** (~200 classes total):
+
+
+
+| Module | Purpose | Key Classes |
+|--------|---------|-------------|
+| **CLICore** | Git-style command dispatcher | `CLIDispatcher`, `SourceDetector`, `CreateCommand` |
+| **Scrapers** | 18 source-type extractors | `DocToSkillConverter`, `DocumentSkillBuilder` (shared build layer), `UnifiedScraper` |
+| **Adaptors** | 20+ output platform formats | `SkillAdaptor` (ABC), `ClaudeAdaptor`, `LangChainAdaptor` |
+| **Analysis** | C3.x codebase analysis pipeline | `UnifiedCodebaseAnalyzer`, `PatternRecognizer`, 10 GoF detectors |
+| **Enhancement** | AI-powered skill improvement via `AgentClient` | `AgentClient`, `AIEnhancer`, `UnifiedEnhancer`, `WorkflowEngine` |
+| **Packaging** | Package, upload, install skills | `PackageSkill`, `InstallAgent` |
+| **MCP** | FastMCP server (40 tools) | `SkillSeekerMCPServer`, 10 tool modules |
+| **Sync** | Doc change detection | `ChangeDetector`, `SyncMonitor`, `Notifier` |
+
+Utility modules: **Parsers** (28 CLI parsers), **Storage** (S3/GCS/Azure), **Embedding** (multi-provider vectors), **Benchmark** (performance), **Utilities** (16 shared helpers).
+
+Full UML diagrams: **[docs/UML_ARCHITECTURE.md](docs/UML_ARCHITECTURE.md)** | StarUML project: `docs/UML/skill_seekers.mdj` | HTML API reference: `docs/UML/html/`
+
+## 📋 Prerequisites
+
+**Before you start, make sure you have:**
+
+1. **Python 3.10 or higher** - [Download](https://www.python.org/downloads/) | Check: `python3 --version`
+2. **Git** - [Download](https://git-scm.com/) | Check: `git --version`
+3. **15-30 minutes** for first-time setup
+
+**First time user?** → **[Start Here: Bulletproof Quick Start Guide](BULLETPROOF_QUICKSTART.md)** 🎯
+
+---
+
+## 📤 Uploading Skills to Claude
+
+Once your skill is packaged, you need to upload it to Claude:
+
+### Option 1: Automatic Upload (API-based)
+
+```bash
+# Set your API key (one-time)
+export ANTHROPIC_API_KEY=sk-ant-...
+
+# Package and upload automatically
+skill-seekers package output/react/ --upload
+
+# OR upload existing .zip
+skill-seekers upload output/react.zip
+```
+
+### Option 2: Manual Upload (No API Key)
+
+```bash
+# Package skill
+skill-seekers package output/react/
+# → Creates output/react.zip
+
+# Then manually upload:
+# - Go to https://claude.ai/skills
+# - Click "Upload Skill"
+# - Select output/react.zip
+```
+
+### Option 3: MCP (Claude Code)
+
+```
+In Claude Code, just ask:
+"Package and upload the React skill"
+```
+
+---
+
+## 🤖 Installing to AI Agents
+
+Skill Seekers can automatically install skills to 19 AI coding agents.
+
+```bash
+# Install to specific agent
+skill-seekers install-agent output/react/ --agent cursor
+
+# Install to IBM Bob (project-local .bob/skills/)
+skill-seekers install-agent output/react/ --agent bob
+
+# Install to all agents at once
+skill-seekers install-agent output/react/ --agent all
+
+# Preview without installing
+skill-seekers install-agent output/react/ --agent cursor --dry-run
+```
+
+### Supported Agents
+
+| Agent | Path | Type |
+|-------|------|------|
+| **Claude Code** | `~/.claude/skills/` | Global |
+| **Cursor** | `.cursor/skills/` | Project |
+| **VS Code / Copilot** | `.github/skills/` | Project |
+| **Amp** | `~/.amp/skills/` | Global |
+| **Goose** | `~/.config/goose/skills/` | Global |
+| **OpenCode** | `~/.opencode/skills/` | Global |
+| **Windsurf** | `~/.windsurf/skills/` | Global |
+| **Roo Code** | `.roo/skills/` | Project |
+| **Cline** | `.cline/skills/` | Project |
+| **Aider** | `~/.aider/skills/` | Global |
+| **Bolt** | `.bolt/skills/` | Project |
+| **Kilo Code** | `.kilo/skills/` | Project |
+| **Continue** | `~/.continue/skills/` | Global |
+| **Kimi Code** | `~/.kimi/skills/` | Global |
+| **IBM Bob** | `.bob/skills/` | Project |
+
+---
+
+## 🔌 MCP Integration (40 Tools)
+
+Skill Seekers ships an MCP server for use from Claude Code, Cursor, Windsurf, VS Code + Cline, or IntelliJ IDEA.
+
+```bash
+# stdio mode (Claude Code, VS Code + Cline)
+python -m skill_seekers.mcp.server_fastmcp
+
+# HTTP mode (Cursor, Windsurf, IntelliJ)
+python -m skill_seekers.mcp.server_fastmcp --transport http --port 8765
+
+# Auto-configure all agents at once
+./setup_mcp.sh
+```
+
+**All 40 tools available:**
+- **Core (9):** `list_configs`, `generate_config`, `validate_config`, `estimate_pages`, `scrape_docs`, `package_skill`, `upload_skill`, `enhance_skill`, `install_skill`
+- **Extended (10):** `scrape_github`, `scrape_pdf`, `unified_scrape`, `merge_sources`, `detect_conflicts`, `add_config_source`, `fetch_config`, `list_config_sources`, `remove_config_source`, `split_config`
+- **Vector DB (4):** `export_to_chroma`, `export_to_weaviate`, `export_to_faiss`, `export_to_qdrant`
+- **Cloud (3):** `cloud_upload`, `cloud_download`, `cloud_list`
+
+**Full Guide:** [docs/guides/MCP_SETUP.md](docs/guides/MCP_SETUP.md)
+
+---
+
+## ⚙️ Configuration
+
+### Available Presets (24+)
+
+```bash
+# List all presets
+# skill-seekers list-configs # Not available in v3.7.0
+```
+
+| Category | Presets |
+|----------|---------|
+| **Web Frameworks** | `react`, `vue`, `angular`, `svelte`, `nextjs` |
+| **Python** | `django`, `flask`, `fastapi`, `sqlalchemy`, `pytest` |
+| **Game Development** | `godot`, `pygame`, `unity` |
+| **Tools & DevOps** | `docker`, `kubernetes`, `terraform`, `ansible` |
+| **Unified (Docs + GitHub)** | `react-unified`, `vue-unified`, `nextjs-unified`, and more |
+
+### Creating Your Own Config
+
+```bash
+# Option 1: Interactive
+skill-seekers create --interactive
+
+# Option 2: Copy and edit a preset
+cp configs/react.json configs/myframework.json
+nano configs/myframework.json
+skill-seekers create --config configs/myframework.json
+```
+
+### Config File Structure
+
+```json
+{
+ "name": "myframework",
+ "description": "When to use this skill",
+ "base_url": "https://docs.myframework.com/",
+ "selectors": {
+ "main_content": "article",
+ "title": "h1",
+ "code_blocks": "pre code"
+ },
+ "url_patterns": {
+ "include": ["/docs", "/guide"],
+ "exclude": ["/blog", "/about"]
+ },
+ "categories": {
+ "getting_started": ["intro", "quickstart"],
+ "api": ["api", "reference"]
+ },
+ "rate_limit": 0.5,
+ "max_pages": 500
+}
+```
+
+### Where to Store Configs
+
+The tool searches in this order:
+1. Exact path as provided
+2. `./configs/` (current directory)
+3. `~/.config/skill-seekers/configs/` (user config directory)
+4. SkillSeekersWeb.com API (preset configs)
+
+---
+
+## 📊 What Gets Created
+
+```
+output/
+├── godot_data/ # Scraped raw data
+│ ├── pages/ # JSON files (one per page)
+│ └── summary.json # Overview
+│
+└── godot/ # The skill
+ ├── SKILL.md # Enhanced with real examples
+ ├── references/ # Categorized docs
+ │ ├── index.md
+ │ ├── getting_started.md
+ │ ├── scripting.md
+ │ └── ...
+ ├── scripts/ # Empty (add your own)
+ └── assets/ # Empty (add your own)
+```
+
+---
+
+## 🐛 Troubleshooting
+
+### No Content Extracted?
+- Check your `main_content` selector
+- Try: `article`, `main`, `div[role="main"]`
+
+### Data Exists But Won't Use It?
+```bash
+# Force re-scrape
+rm -rf output/myframework_data/
+skill-seekers create --config configs/myframework.json
+```
+
+### Categories Not Good?
+Edit the config `categories` section with better keywords.
+
+### Want to Update Docs?
+```bash
+# Delete old data and re-scrape
+rm -rf output/godot_data/
+skill-seekers create --config configs/godot.json
+```
+
+### Enhancement Not Working?
+```bash
+# Check if API key is set
+echo $ANTHROPIC_API_KEY
+
+# Try LOCAL mode instead (uses Claude Code Max, no API key needed)
+skill-seekers enhance output/react/ --mode LOCAL
+
+# Monitor background enhancement status
+skill-seekers enhance-status output/react/ --watch
+```
+
+### GitHub Rate Limit Issues?
+```bash
+# Set a GitHub token (5000 req/hour vs 60/hour anonymous)
+export GITHUB_TOKEN=ghp_your_token_here
+
+# Or configure multiple profiles
+skill-seekers config --github
+```
+
+---
+
+## 📈 Performance
+
+| Task | Time | Notes |
+|------|------|-------|
+| Scraping (sync) | 15-45 min | First time only, thread-based |
+| Scraping (async) | 5-15 min | 2-3x faster with `--async` flag |
+| Building | 1-3 min | Fast rebuild from cache |
+| Re-building | <1 min | With `--skip-scrape` |
+| Enhancement (LOCAL) | 30-60 sec | Uses Claude Code Max |
+| Enhancement (API) | 20-40 sec | Requires API key |
+| Video (transcript) | 1-3 min | YouTube/local, transcript only |
+| Video (visual) | 5-15 min | + OCR frame extraction |
+| Packaging | 5-10 sec | Final .zip creation |
+
+---
+
+## 🆕 New in v3.6.0
+
+### Workflow Presets
+Control analysis depth with `--preset`:
+
+```bash
+skill-seekers create https://docs.react.dev/ --preset quick # Fast, surface-level
+skill-seekers create https://docs.react.dev/ --preset standard # Balanced (default)
+skill-seekers create https://docs.react.dev/ --preset comprehensive # Deep, exhaustive
+```
+
+### Lifecycle Flags
+```bash
+skill-seekers create https://docs.react.dev/ --dry-run # Preview without scraping
+skill-seekers create https://docs.react.dev/ --fresh # Ignore cache, full re-scrape
+skill-seekers create https://docs.react.dev/ --resume # Resume interrupted job
+skill-seekers create https://docs.react.dev/ --skip-scrape # Re-package existing output
+```
+
+### Health Check & Utilities
+```bash
+skill-seekers doctor # Diagnose installation & environment
+skill-seekers sync-config # Detect config drift
+skill-seekers stream # Streaming ingestion for large docs
+skill-seekers update output/react/ # Incremental update
+skill-seekers multilang # Multi-language skill generation
+skill-seekers quality output/react/ # Quality report (add --threshold 7 to gate: non-zero exit below 7/10)
+```
+
+### RAG Chunking Options (package)
+```bash
+skill-seekers package output/react/ --chunk-for-rag --chunk-tokens 512 --chunk-overlap-tokens 50
+```
+
+### Marketplace Publishing
+```bash
+skill-seekers package output/react/ --marketplace --marketplace-category frontend
+```
+
+### Additional Optional Dependencies
+| Extra | Install | Purpose |
+|-------|---------|---------|
+| `browser` | `pip install "skill-seekers[browser]"` | Headless Playwright for SPA sites |
+| `embedding` | `pip install "skill-seekers[embedding]"` | Embedding server support |
+| `s3` / `gcs` / `azure` | `pip install "skill-seekers[s3]"` etc. | Cloud storage upload |
+| `rag-upload` | `pip install "skill-seekers[rag-upload]"` | Combined vector DB upload deps |
+
+---
+
+## 📚 Documentation
+
+### Getting Started
+- **[BULLETPROOF_QUICKSTART.md](BULLETPROOF_QUICKSTART.md)** - 🎯 **START HERE** if you're new!
+- **[QUICKSTART.md](docs/archive/legacy/QUICKSTART.md)** - Quick start for experienced users
+- **[TROUBLESHOOTING.md](TROUBLESHOOTING.md)** - Common issues and solutions
+- **[docs/archive/legacy/QUICK_REFERENCE.md](docs/archive/legacy/QUICK_REFERENCE.md)** - One-page cheat sheet
+
+### Architecture
+- **[docs/UML_ARCHITECTURE.md](docs/UML_ARCHITECTURE.md)** - UML architecture overview with 14 diagrams
+- **[docs/UML/exports/](docs/UML/exports/)** - PNG diagram exports (package overview + 13 class diagrams)
+- **[docs/UML/html/](docs/UML/html/index.html/index.html)** - Full HTML API reference (all classes, operations, attributes)
+- **[docs/UML/skill_seekers.mdj](docs/UML/skill_seekers.mdj)** - StarUML project file (open with [StarUML](https://staruml.io/))
+
+### Guides
+- **[docs/reference/LARGE_DOCUMENTATION.md](docs/reference/LARGE_DOCUMENTATION.md)** - Handle 10K-40K+ page docs
+- **[docs/features/ENHANCEMENT_MODES.md](docs/features/ENHANCEMENT_MODES.md)** - AI enhancement modes guide
+- **[docs/guides/MCP_SETUP.md](docs/guides/MCP_SETUP.md)** - MCP integration setup
+- **[docs/features/UNIFIED_SCRAPING.md](docs/features/UNIFIED_SCRAPING.md)** - Multi-source scraping
+- **[docs/VIDEO_GUIDE.md](docs/VIDEO_GUIDE.md)** - Video extraction guide
+
+### Integration Guides
+- **[docs/integrations/LANGCHAIN.md](docs/integrations/LANGCHAIN.md)** - LangChain RAG
+- **[docs/integrations/CURSOR.md](docs/integrations/CURSOR.md)** - Cursor IDE
+- **[docs/integrations/WINDSURF.md](docs/integrations/WINDSURF.md)** - Windsurf IDE
+- **[docs/integrations/CLINE.md](docs/integrations/CLINE.md)** - Cline (VS Code)
+- **[docs/integrations/RAG_PIPELINES.md](docs/integrations/RAG_PIPELINES.md)** - All RAG pipelines
+
+---
+
+## 📝 License
+
+MIT License - see [LICENSE](LICENSE) file for details
+
+---
+
+Happy skill building! 🚀
+
+---
+
+## 🔒 Security
+
+[](https://mseep.ai/app/yusufkaraaslan-skill-seekers)
+
+---
+
+## 💛 Sponsors
+
+
+
+
+
+
+
+[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=skill_seekers) — a full-modal, OpenAI-compatible AI inference platform. Skill Seekers supports it as a packaging/enhancement target via `--target atlas` with `ATLAS_API_KEY`.