skill-seekers
Generate AI skills (SKILL.md) from documentation websites, GitHub repositories, PDF files, or local codebases using the Skill Seekers CLI. Use when the user wants to create a new AI skill from external documentation, analyze a GitHub repo into a skill, convert a PDF into structured AI knowledge, or package skills for Claude, Gemini, or OpenAI.
Best use case
skill-seekers is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate AI skills (SKILL.md) from documentation websites, GitHub repositories, PDF files, or local codebases using the Skill Seekers CLI. Use when the user wants to create a new AI skill from external documentation, analyze a GitHub repo into a skill, convert a PDF into structured AI knowledge, or package skills for Claude, Gemini, or OpenAI.
Teams using skill-seekers 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-seekers Compares
| Feature / Agent | skill-seekers | 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?
Generate AI skills (SKILL.md) from documentation websites, GitHub repositories, PDF files, or local codebases using the Skill Seekers CLI. Use when the user wants to create a new AI skill from external documentation, analyze a GitHub repo into a skill, convert a PDF into structured AI knowledge, or package skills for Claude, Gemini, or OpenAI.
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.
SKILL.md Source
# Skill Seekers
A universal preprocessing tool that turns any documentation, GitHub repo, PDF, or video into structured AI knowledge assets.
## Prerequisites
```bash
pip install skill-seekers
# Or with all features:
pip install skill-seekers[all]
```
## Quick Start (3 Commands)
```bash
# 1. Create skill from any source
skill-seekers create https://docs.django.com/
# 2. (Optional) Enhance with AI
skill-seekers enhance output/django/
# 3. Package for your AI platform
skill-seekers package output/django --target claude
```
## Source Types
| Source | Command | Example |
|--------|---------|---------|
| Documentation URL | `create <url>` | `skill-seekers create https://docs.react.dev/` |
| GitHub repo | `create <owner/repo>` | `skill-seekers create facebook/react` |
| Local codebase | `create <path>` | `skill-seekers create ./my-project` |
| PDF file | `create <file.pdf>` | `skill-seekers create manual.pdf` |
| YouTube video | `video --url <url>` | `skill-seekers video --url https://youtube.com/...` |
## Export Targets
```bash
skill-seekers package output/react --target claude # Claude AI Skill (ZIP)
skill-seekers package output/react --target gemini # Google Gemini (tar.gz)
skill-seekers package output/react --target openai # OpenAI (ZIP)
skill-seekers package output/react --target langchain # LangChain Documents (JSON)
skill-seekers package output/react --target cursor # .cursorrules for Cursor IDE
skill-seekers package output/react --target markdown # Universal Markdown (ZIP)
```
## Key Commands
```bash
# All-in-one: scrape + enhance + package + upload
skill-seekers install --config react
# GitHub repo with issues and changelog
skill-seekers github --repo owner/repo --include-issues --include-changelog
# Codebase analysis (local path or GitHub URL)
skill-seekers analyze --directory ./my-project --output output/my-skill/
# PDF with tables and parallel processing
skill-seekers pdf --pdf docs/manual.pdf --name myskill --extract-tables --parallel
# Multi-source unified skill (docs + GitHub + PDF combined)
skill-seekers unified --config configs/myframework_unified.json
# List and manage enhancement workflow presets
skill-seekers workflows list
skill-seekers create ./my-project --enhance-workflow security-focus
```
## Configuration
Skill Seekers uses JSON config files for repeatable scraping:
```json
{
"name": "react",
"base_url": "https://react.dev/",
"max_pages": 200
}
```
Run with: `skill-seekers scrape --config configs/react.json`
Browse 24+ preset configs at [skillseekersweb.com](https://skillseekersweb.com/).
## AI Enhancement (Optional)
```bash
# Use Claude API for enhancement
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers enhance output/react/
# Use local Claude Code (free, no API cost)
skill-seekers create ./my-project --ai-mode local
# Apply security-focused enhancement workflow
skill-seekers enhance output/react/ --workflow security-focus
```
## Output Structure
```
output/react/
├── SKILL.md # Main skill file (300-500+ lines)
└── references/ # Detailed reference files
├── api/ # API documentation
├── guides/ # How-to guides
└── examples/ # Code examples
```
## Tips
- Use `--async --workers 8` for 3x faster scraping on large docs
- Use `skill-seekers resume --list` to continue interrupted jobs
- Set up multiple GitHub tokens via `skill-seekers config --github` to avoid rate limits
- 24+ ready-to-use presets for popular frameworks (React, Django, Godot, FastAPI, etc.)
## References
- [Skill Seekers GitHub](https://github.com/yusufkaraaslan/Skill_Seekers)
- [Full Documentation](https://github.com/yusufkaraaslan/Skill_Seekers/tree/main/docs)
- [CLI Reference](https://github.com/yusufkaraaslan/Skill_Seekers/blob/main/docs/reference/CLI_REFERENCE.md)
- [Preset Configs](https://skillseekersweb.com/)Related Skills
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