A comprehensive framework for creating modular, self-contained packages that extend an AI agent's capabilities with specialized knowledge and workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install slug-wk
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 slug-wk 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 Skill Creator?
The Skill Creator is a specialized tool designed to transform general-purpose AI agents into domain-specific experts. By utilizing Openclaw Skills, developers can equip agents with procedural knowledge, specialized tool integrations, and bundled resources that are otherwise unavailable in the model's base training. This system focuses on token efficiency and modularity, ensuring that agents only load the context they need when they need it.
At its core, this framework leverages a progressive disclosure design principle. It allows for the creation of high-freedom text instructions, medium-freedom pseudocode, or low-freedom deterministic scripts. This architecture ensures that Openclaw Skills remain lightweight while providing the robust guardrails necessary for complex technical tasks.
Skill Creator Use Cases
- Developing custom workflows for proprietary business logic or company-specific schemas.
- Integrating specialized scripts for deterministic file processing, such as PDF manipulation or data transformation.
- Creating domain-specific reference libraries for API documentation and database schemas.
- Standardizing output quality through the use of bundled assets and templates for frontend or document generation.
How Skill Creator Works
- Define the skill's purpose by identifying concrete usage examples and trigger scenarios.
- Plan the reusable components including Python/Bash scripts, reference markdown files, and static assets.
- Initialize the skill structure using the provided CLI tools to generate the required directory and metadata.
- Author the SKILL.md file, focusing on concise instructions and imperative guidance.
- Implement and test any bundled scripts to ensure deterministic reliability.
- Package the directory into a distributable format for deployment to the AI agent.
Skill Creator Setup
To start building Openclaw Skills, use the initialization script to scaffold your project directory:
# Initialize a new skill
scripts/init_skill.py <skill-name> --path <output-directory>
# Package and validate the skill for distribution
scripts/package_skill.py <path/to/skill-folder>
Skill Creator Data Schema & Taxonomy
Every skill follows a strict hierarchical structure to ensure compatibility and efficiency:
| Component | File/Folder | Requirement | Purpose |
|---|---|---|---|
| Metadata | SKILL.md (Frontmatter) | Required | YAML containing name and description for triggering. |
| Instructions | SKILL.md (Body) | Required | Core procedural guidance and workflow instructions. |
| Scripts | scripts/ |
Optional | Executable code for deterministic tasks (Python, Bash). |
| References | references/ |
Optional | Contextual documentation loaded only when needed. |
| Assets | assets/ |
Optional | Static files like templates, images, or icons for output. |
Skill Creator Advanced Features
- Progressive Disclosure: A three-level loading system (Metadata -> Body -> Resources) that minimizes context window bloat.
- Deterministic Scripting: Move complex logic out of the LLM context into standalone scripts to save tokens and improve reliability.
- Domain-Specific Organization: Support for branching logic where the agent only reads relevant reference files based on the user's specific query.
- Validation Engine: Automated packaging scripts that verify YAML formatting and directory integrity before distribution.
SKILL.md
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