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skill-builder

skill-builder

github.com/yusufkaraaslanAgent workflows15.3k470 installsUpdated 4w ago
Repository

About skill-builder

A skill for turning documentation, repositories, PDFs, videos, and other sources into AI-ready skills. It guides source detection, scraping, enhancement, packaging, installation, and vector database export through Skill Seekers MCP tools.

Key features

  1. 01Detect source types and choose scrapers
  2. 02Generate and validate scraping configs
  3. 03Scrape docs, code, PDFs, and video
  4. 04Enhance and package skills
  5. 05Export to vector databases

Use cases

  1. 01Convert a documentation site into a skill
  2. 02Update a skill from its source repository
  3. 03Export scraped content to a vector database

MCP support

Uses the Skill Seekers MCP server, which provides tools for scraping and processing knowledge sources into AI-ready skills.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/yusufkaraaslan/skill_seekers --skill skill-builder

After installing, type/skill-builderin Claude Code to confirm it loaded.

Details

From the project README

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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