A professional framework designed to help developers structure, package, and deploy modular AI agent capabilities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-packager
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 skill-packager 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 Packager?
Skill Packager provides a standardized methodology for building and organizing modular capabilities for AI coding agents. It serves as a blueprint for developers to transform fragmented scripts and documentation into cohesive, reusable assets within the Openclaw Skills ecosystem.
By utilizing specific organizational patterns—such as workflow-based, task-based, or capabilities-based structures—this skill ensures that AI agents can efficiently parse, understand, and execute complex technical operations. It bridges the gap between raw code and agentic intelligence by providing a clear taxonomy for scripts, reference materials, and static assets.
Skill Packager Use Cases
- Creating new modular capabilities for AI agents to follow standardized development protocols.
- Organizing complex multi-step technical workflows into a format digestible by Openclaw Skills.
- Developing specialized tool collections for file manipulation, such as PDF or DOCX processing.
- Packaging brand guidelines or coding standards as reference material for generative AI tasks.
How Skill Packager Works
- Analyze the core functionality to determine if the skill is sequential (Workflow-Based), operational (Task-Based), or informational (Reference-Based).
- Define the skill metadata including versioning and descriptions within the YAML frontmatter.
- Organize executable logic into the scripts directory for direct execution by the agent.
- Populate the references directory with documentation to guide the agent's decision-making process.
- Store boilerplate code or templates in the assets directory for use in agent-generated outputs.
- Finalize the SKILL.md file to serve as the central manifest for the Openclaw Skills registry.
Skill Packager Setup
To start building with the Skill Packager framework, initialize your directory structure as follows:
mkdir -p my-new-skill/{scripts,references,assets}
touch my-new-skill/SKILL.md
Ensure your SKILL.md includes the required YAML header to be recognized by the Openclaw Skills ecosystem.
Skill Packager Data Schema & Taxonomy
The Skill Packager organizes data through a strict directory hierarchy to optimize context loading for AI models:
| Directory | Purpose | AI Context Behavior |
|---|---|---|
scripts/ |
Executable code (Python, Bash) | Executed as needed; code can be read for patching. |
references/ |
Documentation and API guides | Fully loaded into context to inform agent logic. |
assets/ |
Templates and static files | Not loaded into context; used only for final output generation. |
Skill Packager Advanced Features
- Multi-pattern integration allowing skills to combine task-based tools with complex workflow decision trees.
- Context-aware referencing where the agent selectively reads documentation based on the current task.
- Support for custom resource directories tailored to specific Openclaw Skills requirements.
- Script patching capabilities enabling the agent to modify its own executable utilities in real-time.
SKILL.md
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