Autoresearch
Autonomous iteration loop inspired by Karpathy’s autoresearch: modify → verify → keep or discard → repeat. Modes cover code, deployment, content, marketing, sales, research, and design.
No curl, terminal, Node.js, or Git required! Download the official SKILL.md directly into your Downloads folder.
Your browser immediately downloads the authentic file (3.0 KB) directly into your local Downloads folder.
Place the downloaded SKILL.md into the skills path for your chosen AI assistant:
<project>/.agents/skills/skill-seekers/SKILL.md (or global in ~/.gemini/antigravity/skills/skill-seekers/SKILL.md)~/.claude/skills/skill-seekers/SKILL.md<project>/.cursor/skills/skill-seekers/SKILL.md or ~/.cursor/skills/skill-seekers/SKILL.md<project>/.agents/skills/skill-seekers/SKILL.mdYour agent automatically discovers the skill. You don't need any restart—it's immediately active!
---
name: skill-builder
description: 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.
---
# 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
In Google Antigravity, skills reside in your project workspace under .agents/skills/skill-seekers/SKILL.md or globally in ~/.gemini/antigravity/skills/.
npx skills add https://github.com/yusufkaraaslan/Skill_Seekers --skill skill-seekers -y
# Workspace path: .agents/skills/skill-seekers/SKILL.md
# Global path: ~/.gemini/antigravity/skills/skill-seekers/SKILL.mdIn Claude Code, install globally using the official skills CLI or add via the Claude Code plugin marketplace.
npx skills add https://github.com/yusufkaraaslan/Skill_Seekers --skill skill-seekers -g -y
# Or inside Claude Code session:
/plugin install yusufkaraaslan/Skill_SeekersIn Cursor, place the skill folder in .cursor/skills/skill-seekers/SKILL.md or at the workspace level in .agents/skills/.
npx skills add https://github.com/yusufkaraaslan/Skill_Seekers --skill skill-seekers -y
# Or place directly into:
# ~/.cursor/skills/skill-seekers/SKILL.mdIn Windsurf / VS Code, agent skills can be installed targeting the windsurf profile or loaded as project rules.
npx skills add https://github.com/yusufkaraaslan/Skill_Seekers --skill skill-seekers -a windsurf -yThis skill is completely self-contained in SKILL.md. All workflows, constraints, and instructions are directly embedded in this single file, making it immediately usable with 1-click download.
Building skills from your own docs, onboarding agents to a framework, RAG/skill pipelines from existing knowledge.
Copy and paste this starter prompt into your AI assistant (Antigravity, Claude, Cursor, ChatGPT) to activate this skill:
Act as an expert using the "Skill Seekers" agent skill. Follow the specialized guidelines to accomplish the task according to best practices.Autonomous iteration loop inspired by Karpathy’s autoresearch: modify → verify → keep or discard → repeat. Modes cover code, deployment, content, marketing, sales, research, and design.
Full software development methodology as composable skills: brainstorm → plan → TDD → subagent execution → code review. Bundles 14+ workflow skills.
Packs an entire repo into one AI-friendly file—or generates a structured Agent Skill from any codebase with --skill-generate.