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skill-builder

Turn documentation, GitHub repositories, PDFs, videos, and local code into AI skills with Skill Seekers. It identifies source types, guides collection and packaging, and supports updates and export to databases for similarity search.

OriginalShow the original 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.

Works withYouTube
See how to install

Good for

  • Create a skill from a documentation site
  • Turn repository content or PDFs into reusable skills
  • Update skills from their source documentation
  • Export skills to databases for similarity search

Files included (1)

  • SKILL.md3.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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 PatternSource TypeTool to Use
https://... (not GitHub/YouTube)Documentationscrape_docs
owner/repo or github.com/...GitHubscrape_github
*.pdfPDFscrape_pdf
YouTube/Vimeo URL or video fileVideoscrape_video
Local directory pathCodebasescrape_codebase
*.ipynb, *.html, *.yaml (OpenAPI), *.adoc, *.pptx, *.rss, *.1-.8Variousscrape_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

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