The Skill Creator provides a standardized framework and CLI tools for building, validating, and packaging modular extensions that enhance AI agent capabilities.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-creator-2
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 skill-creator-2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill acts as a comprehensive blueprint for developers looking to extend agent functionality through Openclaw Skills. It transforms general-purpose models into domain experts by providing specialized procedural knowledge, tool integrations, and bundled resources. By following a structured three-level loading system—metadata, instruction body, and external resources—it ensures maximum efficiency within the AI context window.
The core philosophy of this framework is to challenge every piece of information added to the agent context. By using concise examples and maintaining appropriate degrees of freedom, developers can create robust Openclaw Skills that perform reliably across different LLM providers while minimizing token costs and maximizing deterministic behavior.
To initialize a new project within the Openclaw Skills ecosystem:
# Initialize a new skill directory
python scripts/init_skill.py my-new-skill --path ./skills
To package your skill for distribution:
# Validate and package the skill into a .skill file
python scripts/package_skill.py ./skills/my-new-skill
Openclaw Skills follow a strict directory taxonomy to ensure agent compatibility and resource discovery:
| Component | Location | Description |
|---|---|---|
| SKILL.md | Root | Required. Contains YAML frontmatter (name, description) and instructions. |
| scripts/ | /scripts/ | Optional. Executable code (Python/Bash) for deterministic or repetitive tasks. |
| references/ | /references/ | Optional. Deep-dive docs, schemas, or policies loaded only when needed. |
| assets/ | /assets/ | Optional. Static files, boilerplate code, or templates for output generation. |
Loading
A unified API bridge connecting AI agents to Twitter, Gmail, Slack, and Discord for seamless cross-platform communication.

A comprehensive operational runbook designed for AI agents to deploy, monitor, and troubleshoot RAGFlow instances seamlessly.

A high-performance local network controller for Xiaomi Home devices that bypasses cloud latency using miiocli.

A specialized skill enabling direct local network control of Xiaomi Home devices using natural language and miiocli.

A comprehensive technical reference and management tool for the openclaw.json configuration file that powers the AI agent gateway.

A security-first vetting protocol designed to identify red flags and malicious code in AI agent skills before they are installed.








































