An expert framework for designing, developing, and auditing modular AI agent skills with high context efficiency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install my-skill-name
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 my-skill-name 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 provides a robust methodology for developing Openclaw Skills, which serve as modular extensions for AI agents. These skills transform general-purpose models into specialized agents equipped with domain expertise, procedural knowledge, and tool integrations. By utilizing a progressive disclosure design, the Skill Creator ensures that agents remain context-efficient while maintaining access to complex scripts, reference documentation, and static assets.
This framework focuses on the 'concise is key' philosophy, treating the context window as a finite resource. It provides developers with the principles needed to set appropriate degrees of freedom—ranging from high-level text instructions to low-freedom deterministic scripts—ensuring that AI agents execute tasks with the required level of precision and reliability.
Skill Creator Use Cases
- Authoring new Openclaw Skills from scratch using standardized templates.
- Auditing and tidying up existing SKILL.md files to reduce context bloat.
- Restructuring skill directories to separate executable scripts from reference documentation.
- Improving the triggering accuracy of AI agents through optimized YAML frontmatter descriptions.
- Developing specialized workflows for fragile tasks that require deterministic execution.
How Skill Creator Works
- Discovery: Analyze concrete usage examples to determine the required functionality and triggering phrases.
- Planning: Identify reusable resources, including scripts for reliability, references for knowledge, and assets for output templates.
- Initialization: Use the CLI tool to generate a standardized directory structure and SKILL.md template.
- Development: Implement imperative instructions in the SKILL.md file and populate the scripts and references folders.
- Validation & Packaging: Run the packaging script to verify YAML metadata and directory structure before bundling into a .skill file.
- Iteration: Refine the skill based on real-world performance and context window efficiency.
Skill Creator Setup
To initialize a new skill development environment, use the provided initialization script:
# Initialize a new skill with specific resources
scripts/init_skill.py <skill-name> --path <output-directory> --resources scripts,references,assets
# Package and validate the skill for distribution
scripts/package_skill.py <path/to/skill-folder>
Skill Creator Data Schema & Taxonomy
Openclaw Skills follow a strict directory taxonomy to ensure agent compatibility:
| Component | Location | Purpose |
|---|---|---|
| SKILL.md | Root | Required. Contains YAML frontmatter (metadata) and core instructions. |
| scripts/ | /scripts |
Executable code (Python/Bash) for deterministic tasks. |
| references/ | /references |
Technical docs, schemas, and policies loaded only when needed. |
| assets/ | /assets |
Static files, templates, and brand assets for final output. |
Skill Creator Advanced Features
- Progressive Disclosure: A three-level loading system (Metadata -> Body -> Resources) to minimize token usage.
- Deterministic Execution: Support for bundled Python and Bash scripts to handle fragile operations.
- Namespace Management: Standardized hyphen-case naming and tool-based namespacing for improved triggering.
- Conditional Loading: Patterns for linking to advanced content only when specific sub-tasks are triggered.
- Automated Validation: Integrated checks for symlinks, metadata completeness, and directory integrity during the packaging phase.
SKILL.md
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