A documentation-only reference guide for converting existing GitHub projects into modular Openclaw Skills.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-to-skill
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install github-to-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GitHub to OpenClaw Skill guide serves as a comprehensive roadmap for developers looking to port open-source repositories into the OpenClaw ecosystem. As a documentation-only resource, it eliminates execution risks while providing the technical scaffolding needed to package code as a functional agent skill.
By following this guide, users can understand how to structure their directories, handle dependencies for Python and Node.js, and ensure license compliance. It is an essential resource for those who want to extend the capabilities of their AI agents using proven open-source logic found across Openclaw Skills.
Since this is a documentation-only resource, no code execution is required. To use this as a reference within your environment, place the SKILL.md in your local skills directory:
mkdir -p ~/openclaw/skills/github-to-skill
# Copy the reference SKILL.md content into this directory
Ensure your target project follows the Openclaw Skills directory standard:
The conversion process organizes data according to the following taxonomy:
| File | Type | Description |
|---|---|---|
| SKILL.md | Definition | Metadata, versioning, and author info for Openclaw Skills |
| package.json | Metadata | Node.js specific dependency and script mapping |
| requirements.txt | Metadata | Python specific library requirements |
| .env | Excluded | Should never be included in Openclaw Skills to protect secrets |
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An automation-first orchestration skill that executes GSD project management workflows through a headless CLI interface.








































