5e4932e8b1
- Add Claude Code Plugin: plugin.json, .mcp.json, 3 slash commands, skill-builder agent skill - Add GitHub Action: composite action.yml with 6 inputs/2 outputs, comprehensive README - Add Smithery: publishing guide with namespace yusufkaraaslan/skill-seekers created - Add render-mcp.yaml for MCP server deployment on Render - Fix Dockerfile.mcp: --transport flag (nonexistent) → --http, add dynamic PORT support - Update AGENTS.md to v3.3.0 with corrected test count and expanded CI section - Allow distribution/claude-plugin/.mcp.json in .gitignore
70 lines
3.0 KiB
Markdown
70 lines
3.0 KiB
Markdown
---
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name: skill-builder
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description: Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
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---
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# Skill Builder
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You have access to the Skill Seekers MCP server which provides 35 tools for converting knowledge sources into AI-ready skills.
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## When to Use This Skill
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Use this skill when the user:
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- Wants to create an AI skill from a documentation site, GitHub repo, PDF, video, or other source
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- Needs to convert documentation into a format suitable for LLM consumption
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- Wants to update or sync existing skills with their source documentation
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- Needs to export skills to vector databases (Weaviate, Chroma, FAISS, Qdrant)
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- Asks about scraping, converting, or packaging documentation for AI
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## Source Type Detection
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Automatically detect the source type from user input:
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| Input Pattern | Source Type | Tool to Use |
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|---------------|-------------|-------------|
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| `https://...` (not GitHub/YouTube) | Documentation | `scrape_docs` |
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| `owner/repo` or `github.com/...` | GitHub | `scrape_github` |
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| `*.pdf` | PDF | `scrape_pdf` |
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| YouTube/Vimeo URL or video file | Video | `scrape_video` |
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| Local directory path | Codebase | `scrape_codebase` |
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| `*.ipynb`, `*.html`, `*.yaml` (OpenAPI), `*.adoc`, `*.pptx`, `*.rss`, `*.1`-`.8` | Various | `scrape_generic` |
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| JSON config file | Unified | Use config with `scrape_docs` |
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## Recommended Workflow
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1. **Detect source type** from the user's input
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2. **Generate or fetch config** using `generate_config` or `fetch_config` if needed
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3. **Estimate scope** with `estimate_pages` for documentation sites
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4. **Scrape the source** using the appropriate scraping tool
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5. **Enhance** with `enhance_skill` if the user wants AI-powered improvements
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6. **Package** with `package_skill` for the target platform
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7. **Export to vector DB** if requested using `export_to_*` tools
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## Available MCP Tools
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### Config Management
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- `generate_config` — Generate a scraping config from a URL
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- `list_configs` — List available preset configs
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- `validate_config` — Validate a config file
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### Scraping (use based on source type)
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- `scrape_docs` — Documentation sites
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- `scrape_github` — GitHub repositories
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- `scrape_pdf` — PDF files
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- `scrape_video` — Video transcripts
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- `scrape_codebase` — Local code analysis
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- `scrape_generic` — Jupyter, HTML, OpenAPI, AsciiDoc, PPTX, RSS, manpage, Confluence, Notion, chat
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### Post-processing
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- `enhance_skill` — AI-powered skill enhancement
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- `package_skill` — Package for target platform
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- `upload_skill` — Upload to platform API
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- `install_skill` — End-to-end install workflow
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### Advanced
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- `detect_patterns` — Design pattern detection in code
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- `extract_test_examples` — Extract usage examples from tests
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- `build_how_to_guides` — Generate how-to guides from tests
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- `split_config` — Split large configs into focused skills
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- `export_to_weaviate`, `export_to_chroma`, `export_to_faiss`, `export_to_qdrant` — Vector DB export
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