SkillsAdd

yusufkaraaslan/skill-seekers-plugin · Archived

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.

First seen Apr 3, 2026

Installation

$ npx skills add yusufkaraaslan/skill-seekers-plugin --skill skill-builder
View on skills.sh ↗ GitHub repository ↗

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 13
License LICENSE
Default branch main
Open issues 1
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,073 B
  • docs SUMMARY.md 205 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 8 installs

SKILL.md

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 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 generateconfig or fetchconfig 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 exportto* 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
  • extracttestexamples — Extract usage examples from tests
  • buildhowto_guides — Generate how-to guides from tests
  • split_config — Split large configs into focused skills
  • exporttoweaviate, exporttochroma, exporttofaiss, exporttoqdrant — Vector DB export