A foundational testing skill designed to demonstrate custom AI agent greeting protocols and basic skill integration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install duanzj-hello-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 duanzj-hello-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 Hello World Skill serves as the primary entry point for developers exploring Openclaw Skills. It provides a simple, robust framework for testing an AI agent's ability to recognize intent and execute a defined response. This skill is essential for verifying that your environment is correctly configured and that your agent can process custom skill definitions effectively.
By implementing this skill, developers can understand the basic handshake between the user intent and the AI agent's response logic. It acts as a boilerplate template for more complex Openclaw Skills, ensuring that the core communication loop is functional before moving into advanced data processing or external API integrations.
To integrate this skill into your local environment, ensure you have the Openclaw CLI installed, then add the skill slug to your configuration.
# Example of adding a skill via CLI
openclaw install duanzj-hello-skill
# Alternatively, manually link the SKILL.md in your skills directory
cp SKILL.md ./my-agent/skills/hello-world.md
The Hello World Skill uses a minimal metadata schema to ensure high performance and low latency during intent matching.
| Attribute | Value | Description |
|---|---|---|
| Slug | duanzj-hello-skill | Unique identifier for the skill registry |
| Name | hello_world 001 | The display name used for internal tracking |
| Description | greeting_test | Categorizes the skill as a testing utility |
Loading
A specialized skill for identifying and fixing critical security vulnerabilities within application source code.

A secure execution environment for running non-destructive repository commands like testing, building, and linting within local workspaces.

A specialized AI agent skill designed to streamline codebase structure and readability without altering functional behavior.

A specialized skill for managing local Git repositories using safe, standardized, and reversible workflow practices.

A comprehensive, production-grade toolkit for AI coding agents to architect, generate, and maintain robust Playwright test suites.

A deterministic utility for matching user tasks to the most relevant installed skills while maintaining library health through daily audits.








































