A foundational demonstration skill designed to showcase the standardized structure and publication workflow for the Openclaw registry.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawhub-intro-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 clawhub-intro-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 ClawHub Intro Skill serves as the official blueprint for developers participating in the Openclaw Skills ecosystem. It provides a concrete example of how to organize metadata, documentation, and usage examples so that AI agents can effectively discover and utilize new capabilities. By following this template, developers can ensure their tools meet the technical requirements for seamless registry integration.
This skill is essentially a meta-tool, focusing on the developer experience and the technical specifications required to expand the agent's utility. It bridges the gap between raw code and a publishable, discoverable asset within the Openclaw Skills marketplace.
To install this demonstration skill as a reference, use the following command:
clawhub install clawhub-intro-skill
For authors ready to publish their own version based on this structure, use the following CLI syntax within your project directory:
clawhub publish ./ --slug your-skill-slug --name "Your Skill Name" --version 0.1.0 --tags latest
The skill organizes its technical and descriptive data using a strict file-based taxonomy to ensure it remains compatible with Openclaw Skills standards:
| File | Purpose |
|---|---|
SKILL.md |
The primary instruction set and technical documentation. |
skill.json |
Machine-readable metadata including slug, version, and tags. |
README.md |
High-level summary and quick-start links for users. |
example.md |
Practical implementation examples for the AI agent to follow. |
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