A comprehensive developer framework designed to teach AI agents how to create, structure, and utilize custom Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 09-ai
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 09-ai 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 AI Coding Skill?
The AI Coding skill serves as the foundational blueprint for extending AI agent capabilities within the ecosystem. It provides a standardized methodology for developers to define new behaviors, ensuring that agents like Claude can learn how to interact with external scripts and specialized documentation. By following the protocols established in this skill, developers can transform static scripts into dynamic, agent-led automations.
This skill focuses on the architectural integrity of Openclaw Skills, emphasizing the importance of the SKILL.md file as the primary interface for agent learning. It bridges the gap between manual coding and autonomous execution by providing clear instructions on directory structures, metadata taxonomy, and the instructional dialogue needed to finalize agent training.
AI Coding Skill Use Cases
- Creating custom automation workflows for specific developer tasks.
- Standardizing the way new capabilities are documented and shared across teams.
- Debugging and troubleshooting skill recognition issues in AI coding environments.
- Training AI agents to use local Python tools for data processing or system management.
How AI Coding Skill Works
- The AI agent automatically scans the ~/.openclaw/skills directory to identify new SKILL.md files.
- It parses the YAML frontmatter to understand the skill version, author, and primary description.
- The agent indexes any supplementary Markdown files located in the references folder to gain deeper technical context.
- Developers use a teaching dialogue to specify the exact conditions under which the scripts in the tools directory should be executed.
- The agent integrates these instructions into its reasoning loop, enabling it to call the custom Openclaw Skills whenever triggered by relevant user prompts.
AI Coding Skill Setup
To start building your own Openclaw Skills, follow these initialization steps:
# 1. Create the required directory structure
mkdir -p ~/.openclaw/skills/my-new-skill/references
mkdir -p ~/.openclaw/skills/my-new-skill/tools
# 2. Initialize the main configuration file
touch ~/.openclaw/skills/my-new-skill/SKILL.md
Ensure your SKILL.md starts with the correct YAML header to enable auto-discovery.
AI Coding Skill Data Schema & Taxonomy
The skill follows a strict hierarchical file system to ensure the AI agent can navigate and utilize all assets correctly:
| File/Folder | Requirement | Purpose |
|---|---|---|
| SKILL.md | Required | Main entry point containing metadata and core logic. |
| references/ | Optional | A collection of Markdown files used for RAG-based context. |
| tools/ | Optional | Python scripts that perform the actual automation tasks. |
| tools/*.py | Optional | Individual executable scripts with clear functional naming. |
AI Coding Skill Advanced Features
- Multi-document indexing through the references directory for complex knowledge bases.
- Support for isolated Python tool execution with custom CLI arguments.
- YAML-based metadata versioning to manage the lifecycle of your Openclaw Skills.
- Dialogue-driven training hooks that allow for fine-tuned control over tool-calling triggers.
SKILL.md
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