Skill_Seekers 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.

install
source · Clone the upstream repo
git clone https://github.com/yusufkaraaslan/Skill_Seekers
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/yusufkaraaslan/Skill_Seekers "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/skill-seekers" ~/.claude/skills/yusufkaraaslan-skill-seekers-skill-builder-b30c8d && rm -rf "$T"
manifest: skills/skill-seekers/SKILL.md
source content

Skill Builder

You have access to the Skill Seekers MCP server which provides 35 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 PatternSource TypeTool 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 fileVideo
scrape_video
Local directory pathCodebase
scrape_codebase
*.ipynb
,
*.html
,
*.yaml
(OpenAPI),
*.adoc
,
*.pptx
,
*.rss
,
*.1
-
.8
Various
scrape_generic
JSON config fileUnifiedUse 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