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.
Best use case
skill-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using skill-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/skill-seekers/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How skill-builder Compares
| Feature / Agent | skill-builder | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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 `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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