Claude Skill

skill-builder

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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Download yusufkaraaslan-skill_seekers-skills_skill-seekers-4cca1e6.zip · 1 KB
Part of yusufkaraaslan/skill_seekers — 2 skills

Install

skills CLI npx skills add https://github.com/yusufkaraaslan/Skill_Seekers/tree/development/skills/skill-seekers
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install yusufkaraaslan-skill-seekers@llmmart
Git git clone https://github.com/yusufkaraaslan/Skill_Seekers.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole yusufkaraaslan/skill_seekers collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Skill Builder

You have access to the Skill Seekers MCP server which provides 40 tools for converting knowledge sources into AI-ready skills.

When to Use This Skill

Use this skill when the user:

  • Wants to create an AI skill from a documentation site, GitHub repo, PDF, video, or other source
  • Needs to convert documentation into a format suitable for LLM consumption
  • Wants to update or sync existing skills with their source documentation
  • Needs to export skills to vector databases (Weaviate, Chroma, FAISS, Qdrant)
  • Asks about scraping, converting, or packaging documentation for AI

Source Type Detection

Automatically detect the source type from user input:

Input Pattern Source Type Tool to Use
https://... (not GitHub/YouTube) Documentation scrape_docs
owner/repo or github.com/... GitHub scrape_github
*.pdf PDF scrape_pdf
YouTube/Vimeo URL or video file Video scrape_video
Local directory path Codebase scrape_codebase
*.ipynb, *.html, *.yaml (OpenAPI), *.adoc, *.pptx, *.rss, *.1-.8 Various scrape_generic
JSON config file Unified Use config with scrape_docs

Recommended Workflow

  1. Detect source type from the user's input
  2. Generate or fetch config using generate_config or fetch_config if needed
  3. Estimate scope with estimate_pages for documentation sites
  4. Scrape the source using the appropriate scraping tool
  5. Enhance with enhance_skill if the user wants AI-powered improvements
  6. Package with package_skill for the target platform
  7. Export to vector DB if requested using export_to_* tools

Available MCP Tools

Config Management

  • generate_config — Generate a scraping config from a URL
  • list_configs — List available preset configs
  • validate_config — Validate a config file

Scraping (use based on source type)

  • scrape_docs — Documentation sites
  • scrape_github — GitHub repositories
  • scrape_pdf — PDF files
  • scrape_video — Video transcripts
  • scrape_codebase — Local code analysis
  • scrape_generic — Jupyter, HTML, OpenAPI, AsciiDoc, PPTX, RSS, manpage, Confluence, Notion, chat

Post-processing

  • enhance_skill — AI-powered skill enhancement
  • package_skill — Package for target platform
  • upload_skill — Upload to platform API
  • install_skill — End-to-end install workflow

Advanced

  • detect_patterns — Design pattern detection in code
  • extract_test_examples — Extract usage examples from tests
  • build_how_to_guides — Generate how-to guides from tests
  • split_config — Split large configs into focused skills
  • export_to_weaviate, export_to_chroma, export_to_faiss, export_to_qdrant — Vector DB export
Files (skill_seekers)
  • SKILL.md 3 KB
    ---
    name: skill-builder
    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.
    ---
    
    # Skill Builder
    
    You have access to the Skill Seekers MCP server which provides 40 tools for converting knowledge sources into AI-ready skills.
    
    ## When to Use This Skill
    
    Use this skill when the user:
    - Wants to create an AI skill from a documentation site, GitHub repo, PDF, video, or other source
    - Needs to convert documentation into a format suitable for LLM consumption
    - Wants to update or sync existing skills with their source documentation
    - Needs to export skills to vector databases (Weaviate, Chroma, FAISS, Qdrant)
    - Asks about scraping, converting, or packaging documentation for AI
    
    ## Source Type Detection
    
    Automatically detect the source type from user input:
    
    | Input Pattern | Source Type | Tool to Use |
    |---------------|-------------|-------------|
    | `https://...` (not GitHub/YouTube) | Documentation | `scrape_docs` |
    | `owner/repo` or `github.com/...` | GitHub | `scrape_github` |
    | `*.pdf` | PDF | `scrape_pdf` |
    | YouTube/Vimeo URL or video file | Video | `scrape_video` |
    | Local directory path | Codebase | `scrape_codebase` |
    | `*.ipynb`, `*.html`, `*.yaml` (OpenAPI), `*.adoc`, `*.pptx`, `*.rss`, `*.1`-`.8` | Various | `scrape_generic` |
    | JSON config file | Unified | Use config with `scrape_docs` |
    
    ## Recommended Workflow
    
    1. **Detect source type** from the user's input
    2. **Generate or fetch config** using `generate_config` or `fetch_config` if needed
    3. **Estimate scope** with `estimate_pages` for documentation sites
    4. **Scrape the source** using the appropriate scraping tool
    5. **Enhance** with `enhance_skill` if the user wants AI-powered improvements
    6. **Package** with `package_skill` for the target platform
    7. **Export to vector DB** if requested using `export_to_*` tools
    
    ## Available MCP Tools
    
    ### Config Management
    - `generate_config` — Generate a scraping config from a URL
    - `list_configs` — List available preset configs
    - `validate_config` — Validate a config file
    
    ### Scraping (use based on source type)
    - `scrape_docs` — Documentation sites
    - `scrape_github` — GitHub repositories
    - `scrape_pdf` — PDF files
    - `scrape_video` — Video transcripts
    - `scrape_codebase` — Local code analysis
    - `scrape_generic` — Jupyter, HTML, OpenAPI, AsciiDoc, PPTX, RSS, manpage, Confluence, Notion, chat
    
    ### Post-processing
    - `enhance_skill` — AI-powered skill enhancement
    - `package_skill` — Package for target platform
    - `upload_skill` — Upload to platform API
    - `install_skill` — End-to-end install workflow
    
    ### Advanced
    - `detect_patterns` — Design pattern detection in code
    - `extract_test_examples` — Extract usage examples from tests
    - `build_how_to_guides` — Generate how-to guides from tests
    - `split_config` — Split large configs into focused skills
    - `export_to_weaviate`, `export_to_chroma`, `export_to_faiss`, `export_to_qdrant` — Vector DB export
    

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