15 KiB
Skill Seekers Feature Matrix
Complete feature support across all platforms and skill modes.
Platform Support
| Platform | Package Format | Upload | Enhancement | API Key Required |
|---|---|---|---|---|
| Claude AI | ZIP | ✅ Anthropic API | ✅ Sonnet 4 | ANTHROPIC_API_KEY |
| Google Gemini | tar.gz | ✅ Files API | ✅ Gemini 2.0 | GOOGLE_API_KEY |
| OpenAI ChatGPT | ZIP | ✅ Assistants API | ✅ GPT-4o | OPENAI_API_KEY |
| MiniMax | ZIP | ❌ Manual | ❌ None | None |
| OpenCode | ZIP | ❌ Manual | ❌ None | None |
| Kimi | ZIP | ❌ Manual | ❌ None | None |
| DeepSeek | ZIP | ❌ Manual | ❌ None | None |
| Qwen | ZIP | ❌ Manual | ❌ None | None |
| OpenRouter | ZIP | ❌ Manual | ❌ None | None |
| Together AI | ZIP | ❌ Manual | ❌ None | None |
| Fireworks AI | ZIP | ❌ Manual | ❌ None | None |
| IBM Bob | Directory | ❌ Manual | ❌ None | None |
| LangChain | JSON | ❌ Manual | ❌ None | None |
| LlamaIndex | JSON | ❌ Manual | ❌ None | None |
| Haystack | JSON | ❌ Manual | ❌ None | None |
| Pinecone | Vectors | ❌ Manual | ❌ None | PINECONE_API_KEY |
| Weaviate | Vectors | ❌ Manual | ❌ None | None |
| Chroma | Vectors | ❌ Manual | ❌ None | None |
| FAISS | Index | ❌ Manual | ❌ None | None |
| Qdrant | Vectors | ❌ Manual | ❌ None | None |
| Generic Markdown | ZIP | ❌ Manual | ❌ None | None |
Skill Mode Support
| Mode | Description | Platforms | CLI Command | create Detection |
|---|---|---|---|---|
| Documentation | Scrape HTML docs | All 21 | scrape |
https://... URLs |
| GitHub | Analyze repositories | All 21 | github |
owner/repo or github.com URLs |
| Extract from PDFs | All 21 | pdf |
.pdf extension |
|
| Word | Extract from DOCX | All 21 | word |
.docx extension |
| EPUB | Extract from EPUB | All 21 | epub |
.epub extension |
| Video | Video transcription | All 21 | video |
YouTube/Vimeo URLs, video extensions |
| Local Repo | Local codebase analysis | All 21 | analyze |
Directory paths |
| Jupyter | Extract from notebooks | All 21 | jupyter |
.ipynb extension |
| HTML | Extract local HTML files | All 21 | html |
.html/.htm extension |
| OpenAPI | Extract API specs | All 21 | openapi |
.yaml/.yml with OpenAPI content |
| AsciiDoc | Extract AsciiDoc files | All 21 | asciidoc |
.adoc/.asciidoc extension |
| PowerPoint | Extract from PPTX | All 21 | pptx |
.pptx extension |
| RSS/Atom | Extract from feeds | All 21 | rss |
.rss/.atom extension |
| Man Pages | Extract man pages | All 21 | manpage |
.1-.8/.man extension |
| Confluence | Extract from Confluence | All 21 | confluence |
API or export directory |
| Notion | Extract from Notion | All 21 | notion |
API or export directory |
| Chat | Extract Slack/Discord | All 21 | chat |
Export directory or API |
| Unified | Multi-source combination | All 21 | unified |
N/A (config-driven) |
CLI Command Support
| Command | Platforms | Skill Modes | Multi-Platform Flag | Optional Deps |
|---|---|---|---|---|
scrape |
All | Docs only | No (output is universal) | None |
github |
All | GitHub only | No (output is universal) | None |
pdf |
All | PDF only | No (output is universal) | [pdf] |
word |
All | Word only | No (output is universal) | [word] |
epub |
All | EPUB only | No (output is universal) | [epub] |
video |
All | Video only | No (output is universal) | [video] |
analyze |
All | Local only | No (output is universal) | None |
jupyter |
All | Jupyter only | No (output is universal) | [jupyter] |
html |
All | HTML only | No (output is universal) | None |
openapi |
All | OpenAPI only | No (output is universal) | [openapi] |
asciidoc |
All | AsciiDoc only | No (output is universal) | [asciidoc] |
pptx |
All | PPTX only | No (output is universal) | [pptx] |
rss |
All | RSS only | No (output is universal) | [rss] |
manpage |
All | Man pages only | No (output is universal) | None |
confluence |
All | Confluence only | No (output is universal) | [confluence] |
notion |
All | Notion only | No (output is universal) | [notion] |
chat |
All | Chat only | No (output is universal) | [chat] |
unified |
All | Unified only | No (output is universal) | Varies by source |
scan |
All | Project bootstrap | No (output is universal) | None (uses existing AgentClient) |
enhance |
Claude, Gemini, OpenAI | All | ✅ --target |
None |
package |
All | All | ✅ --target |
None |
upload |
Claude, Gemini, OpenAI | All | ✅ --target |
None |
estimate |
All | Docs only | No (estimation is universal) | None |
install |
All | All | ✅ --target |
None |
install-agent |
All | All | No (agent-specific paths) | None |
MCP Tool Support
| Tool | Platforms | Skill Modes | Multi-Platform Param |
|---|---|---|---|
| Config Tools | |||
generate_config |
All | All | No (creates generic JSON) |
list_configs |
All | All | No |
validate_config |
All | All | No |
fetch_config |
All | All | No |
| Scraping Tools | |||
estimate_pages |
All | Docs only | No |
scrape_docs |
All | Docs + Unified | No (output is universal) |
scrape_github |
All | GitHub only | No (output is universal) |
scrape_pdf |
All | PDF only | No (output is universal) |
scrape_generic |
All | 10 new types | No (output is universal) |
| Packaging Tools | |||
package_skill |
All | All | ✅ target parameter |
upload_skill |
Claude, Gemini, OpenAI | All | ✅ target parameter |
enhance_skill |
Claude, Gemini, OpenAI | All | ✅ target parameter |
install_skill |
All | All | ✅ target parameter |
| Splitting Tools | |||
split_config |
All | Docs + Unified | No |
generate_router |
All | Docs only | No |
Feature Comparison by Platform
Claude AI (Default)
- Format: YAML frontmatter + markdown
- Package: ZIP with SKILL.md, references/, scripts/, assets/
- Upload: POST to https://api.anthropic.com/v1/skills
- Enhancement: Claude Sonnet 4 (local or API)
- Unique Features: MCP integration, Skills API
- Limitations: No vector store, no file search
Google Gemini
- Format: Plain markdown (no frontmatter)
- Package: tar.gz with system_instructions.md, references/, metadata
- Upload: Google Files API
- Enhancement: Gemini 2.0 Flash
- Unique Features: Grounding support, long context (1M tokens)
- Limitations: tar.gz format only
OpenAI ChatGPT
- Format: Assistant instructions (plain text)
- Package: ZIP with assistant_instructions.txt, vector_store_files/, metadata
- Upload: Assistants API + Vector Store creation
- Enhancement: GPT-4o
- Unique Features: Vector store, file_search tool, semantic search
- Limitations: Requires Assistants API structure
Generic Markdown
- Format: Pure markdown (universal)
- Package: ZIP with README.md, DOCUMENTATION.md, references/
- Upload: None (manual distribution)
- Enhancement: None
- Unique Features: Works with any LLM, no API dependencies
- Limitations: No upload, no enhancement
Workflow Coverage
Single-Source Workflow
Config → Scrape → Build → [Enhance] → Package --target X → [Upload --target X]
Platforms: All 21 Modes: Docs, GitHub, PDF
Unified Multi-Source Workflow
Config → Scrape All → Detect Conflicts → Merge → Build → [Enhance] → Package --target X → [Upload --target X]
Platforms: All 21 Modes: Unified only
Complete Installation Workflow
install --target X → Fetch → Scrape → Enhance → Package → Upload
Platforms: All 21 Modes: All (via config type detection)
API Key Requirements
| Platform | Environment Variable | Key Format | Required For |
|---|---|---|---|
| Claude | ANTHROPIC_API_KEY |
sk-ant-* |
Upload, API Enhancement |
| Gemini | GOOGLE_API_KEY |
AIza* |
Upload, API Enhancement |
| OpenAI | OPENAI_API_KEY |
sk-* |
Upload, API Enhancement |
| Markdown | None | N/A | Nothing |
Note: Local enhancement (Claude Code Max) requires no API key for any platform.
Installation Options
# Core package (Claude only)
pip install skill-seekers
# With Gemini support
pip install skill-seekers[gemini]
# With OpenAI support
pip install skill-seekers[openai]
# With all platforms
pip install skill-seekers[all-llms]
Examples
Package for Multiple Platforms (Same Skill)
# Scrape once (platform-agnostic)
skill-seekers create --config configs/react.json
# Package for all platforms
skill-seekers package output/react/ --target claude
skill-seekers package output/react/ --target gemini
skill-seekers package output/react/ --target openai
skill-seekers package output/react/ --target markdown
# Result:
# - react.zip (Claude)
# - react-gemini.tar.gz (Gemini)
# - react-openai.zip (OpenAI)
# - react-markdown.zip (Universal)
Upload to Multiple Platforms
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIzaSy...
export OPENAI_API_KEY=sk-proj-...
skill-seekers upload react.zip --target claude
skill-seekers upload react-gemini.tar.gz --target gemini
skill-seekers upload react-openai.zip --target openai
Use MCP Tools for Any Platform
# In Claude Code or any MCP client
# Package for Gemini
package_skill(skill_dir="output/react", target="gemini")
# Upload to OpenAI
upload_skill(skill_zip="output/react-openai.zip", target="openai")
# Enhance with Gemini
enhance_skill(skill_dir="output/react", target="gemini", mode="api")
Complete Workflow with Different Platforms
# Install React skill for Claude (default)
skill-seekers install --config react
# Install Django skill for Gemini
skill-seekers install --config django --target gemini
# Install FastAPI skill for OpenAI
skill-seekers install --config fastapi --target openai
# Install Vue skill as generic markdown
skill-seekers install --config vue --target markdown
Split Unified Config by Source
# Split multi-source config into separate configs
python -m skill_seekers.cli.split_config configs/react_unified.json --strategy source
# Creates:
# - react-documentation.json (docs only)
# - react-github.json (GitHub only)
# Then scrape each separately
skill-seekers create --config react-documentation.json
skill-seekers create --config react-github.json
# Or scrape in parallel for speed
skill-seekers create --config react-documentation.json &
skill-seekers create --config react-github.json &
wait
Verification Checklist
Before release, verify all combinations:
CLI Commands × Platforms
- scrape → package claude → upload claude
- scrape → package gemini → upload gemini
- scrape → package openai → upload openai
- scrape → package markdown
- github → package (all platforms)
- pdf → package (all platforms)
- unified → package (all platforms)
- enhance claude
- enhance gemini
- enhance openai
MCP Tools × Platforms
- package_skill target=claude
- package_skill target=gemini
- package_skill target=openai
- package_skill target=markdown
- upload_skill target=claude
- upload_skill target=gemini
- upload_skill target=openai
- enhance_skill target=claude
- enhance_skill target=gemini
- enhance_skill target=openai
- install_skill target=claude
- install_skill target=gemini
- install_skill target=openai
Skill Modes × Platforms
- Docs → Claude
- Docs → Gemini
- Docs → OpenAI
- Docs → Markdown
- GitHub → All platforms
- PDF → All platforms
- Word → All platforms
- EPUB → All platforms
- Video → All platforms
- Local Repo → All platforms
- Jupyter → All platforms
- HTML → All platforms
- OpenAPI → All platforms
- AsciiDoc → All platforms
- PPTX → All platforms
- RSS → All platforms
- Man Pages → All platforms
- Confluence → All platforms
- Notion → All platforms
- Chat → All platforms
- Unified → All platforms
Platform-Specific Notes
Claude AI
- Best for: General-purpose skills, MCP integration
- When to use: Default choice, best MCP support
- File size limit: 25 MB per skill package
Google Gemini
- Best for: Large context skills, grounding support
- When to use: Need long context (1M tokens), grounding features
- File size limit: 100 MB per upload
OpenAI ChatGPT
- Best for: Vector search, semantic retrieval
- When to use: Need semantic search across documentation
- File size limit: 512 MB per vector store
Generic Markdown
- Best for: Universal compatibility, no API dependencies
- When to use: Using non-Claude/Gemini/OpenAI LLMs, offline use
- Distribution: Manual - share ZIP file directly
Frequently Asked Questions
Q: Can I package once and upload to multiple platforms? A: No. Each platform requires a platform-specific package format. You must:
- Scrape once (universal)
- Package separately for each platform (
--targetflag) - Upload each platform-specific package
Q: Do I need to scrape separately for each platform? A: No! Scraping is platform-agnostic. Scrape once, then package for multiple platforms.
Q: Which platform should I choose? A:
- Claude: Best default choice, excellent MCP integration
- Gemini: Choose if you need long context (1M tokens) or grounding
- OpenAI: Choose if you need vector search and semantic retrieval
- MiniMax/Kimi/DeepSeek/Qwen: Choose for Chinese LLM ecosystem compatibility
- OpenRouter/Together/Fireworks: Choose for multi-model routing or open-source model access
- Markdown: Choose for universal compatibility or offline use
Q: Can I enhance a skill for different platforms? A: Yes! Enhancement adds platform-specific formatting:
- Claude: YAML frontmatter + markdown
- Gemini: Plain markdown with system instructions
- OpenAI: Plain text assistant instructions
Q: Do all skill modes work with all platforms? A: Yes! All 18 source types work with all 21 platforms (Claude, Gemini, OpenAI, MiniMax, OpenCode, Kimi, DeepSeek, Qwen, OpenRouter, Together AI, Fireworks AI, IBM Bob, LangChain, LlamaIndex, Haystack, Pinecone, Weaviate, Chroma, FAISS, Qdrant, and Markdown).
See Also
- README.md - Complete user documentation
- UNIFIED_SCRAPING.md - Multi-source scraping guide
- ENHANCEMENT.md - AI enhancement guide
- UPLOAD_GUIDE.md - Upload instructions
- MCP_SETUP.md - MCP server setup