Skill Seekers is an automated tool designed to convert documentation websites, GitHub repositories, and PDF files into optimized skills for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-seekers
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-seekers using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Skill Seekers?
Skill Seekers provides a powerful bridge between static knowledge sources and interactive AI agents. It specializes in programmatically extracting technical information from varied environments—including web docs (React, Godot, Vue, etc.), deep GitHub AST analysis, and complex PDF structures—to generate structured Openclaw Skills. By automating the synthesis of documentation and code, it ensures that your AI coding assistants remain current with the latest framework updates and internal codebase changes.
The tool is designed for high performance, featuring asynchronous scraping and AI-driven enhancements that refine the generated output. Whether you are building a custom knowledge base for a private framework or optimizing public library support, Skill Seekers streamlines the lifecycle of creating and maintaining Openclaw Skills.
Skill Seekers Use Cases
- Rapidly scraping documentation for frameworks like React, FastAPI, or Django to create specialized agent context.
- Performing deep code analysis on GitHub repositories to help AI agents understand internal logic and structures.
- Extracting text, tables, and OCR data from legacy PDF manuals to build searchable technical skills.
- Identifying discrepancies between documentation and implementation using unified multi-source merging.
- Deploying custom capabilities into developer workflows using Openclaw Skills.
How Skill Seekers Works
- Identify the source of knowledge, such as a documentation URL, a GitHub repository link, or a local PDF file.
- Run the specific extraction command (e.g.,
scrape,github, orpdf) to gather raw data. - Utilize the unified mode to merge documentation and source code while automatically detecting signature or description mismatches.
- Apply local or API-based AI enhancement to generate a high-quality SKILL.md file optimized for agent performance.
- Package the skill into a distribution format and install it into your preferred environment, such as the directory for Openclaw Skills.
Skill Seekers Setup
# Install the package via PyPI
pip install skill-seekers
# Or install from the source repository
git clone https://github.com/yusufkaraaslan/Skill_Seekers.git
cd Skill_Seekers
pip install -e .
# Quick start with a preset configuration
skill-seekers install --config react
Skill Seekers Data Schema & Taxonomy
| Component | Description |
|---|---|
output/ |
The root directory where generated skills are stored. |
SKILL.md |
The primary definition file used by agents to understand the skill capabilities. |
configs/ |
JSON configuration files defining scraping rules, URLs, and worker settings. |
unified.json |
A schema for merging multiple data sources with conflict detection rules. |
*.zip |
A portable package containing the full skill data for distribution. |
Skill Seekers Advanced Features
- Asynchronous crawling with multi-worker support for 3x faster data extraction.
- Advanced AST parsing for GitHub repositories to capture deep structural code context.
- Automated conflict detection flagging signature mismatches between code and documentation.
- Native OCR and encrypted PDF support for processing restrictive or legacy documents.
- Seamless deployment hooks for Openclaw Skills and other leading AI agent platforms.
SKILL.md
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