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skill-builder

Detecta automaticamente tipos de fonte e constrói habilidades de IA usando Skill Seekers. Use quando o usuário quiser criar habilidades a partir de documentação, repositórios, PDFs, vídeos ou outras fontes de conhecimento.

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add yusufkaraaslan/Skill_Seekers

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/skill-builder-yusufkaraaslan/svg)](https://www.skillteca.com.br/skills/skill-builder-yusufkaraaslan)

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Ler descrição completa

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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