Skill Builder from 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