Clawhub Skill Creator for Openclaw

A professional framework and toolkit designed to streamline the development, validation, and publication of AI-optimized Openclaw Skills.

erview
v1.0.0
Feb 23, 2026
2
1.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install clawhub-skill-creator

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install clawhub-skill-creator 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 Clawhub Skill Creator?

The Clawhub Skill Creator provides a rigorous, 13-phase workflow for developers looking to contribute to the ecosystem of Openclaw Skills. It emphasizes an agent-first design philosophy, ensuring that skills are not just human-readable but perfectly structured for AI agents to trigger and execute reliably.

By following this standardized approach, developers can implement progressive disclosure—keeping core instructions lightweight while providing deep technical context through structured references. This ensures that Openclaw Skills remain token-efficient while offering powerful, cross-platform capabilities for complex automation tasks.

Clawhub Skill Creator Use Cases

  • Developing new AI agent capabilities for publication in the Clawhub registry.
  • Optimizing existing skill metadata to improve trigger accuracy for AI agents.
  • Standardizing cross-platform command execution within Openclaw Skills.
  • Validating skill structures and metadata against registry requirements before deployment.

How Clawhub Skill Creator Works

  1. Initialize a standardized directory structure containing SKILL.md, _meta.json, and LICENSE.txt.
  2. Define the skill purpose and specific usage triggers in the English-language frontmatter.
  3. Draft the core workflow using imperative language and platform-aware command templates.
  4. Organize detailed documentation and assets into the references and assets subdirectories to minimize the primary token footprint.
  5. Run local validation scripts to ensure schema compliance and test agent responsiveness.
  6. Version the skill using SemVer and package it for final publication to the registry.

Clawhub Skill Creator Setup

To begin creating Openclaw Skills, use the provided initialization script to scaffold your project:

# Initialize a new skill structure
./scripts/init-skill.sh my-new-skill

# Alternatively, create the structure manually
mkdir -p my-skill/{references,scripts,assets}
touch my-skill/SKILL.md my-skill/_meta.json my-skill/LICENSE.txt

Clawhub Skill Creator Data Schema & Taxonomy

The skill structure is designed for modularity and ease of consumption by AI agents:

File Purpose Requirement
SKILL.md Contains YAML frontmatter and core instructions. Required
_meta.json Stores registry metadata like version, tags, and dependencies. Required
LICENSE.txt Defines the legal usage terms (e.g., MIT). Required
references/ Directory for detailed technical documentation (Markdown). Optional
assets/ Stores templates, configurations, or static resources. Optional
scripts/ Contains automation scripts for validation or packaging. Optional

Clawhub Skill Creator Advanced Features

  • Agent-First Design: Eliminates interactive prompts and focuses on executable command templates.
  • Progressive Disclosure: Loads only necessary metadata initially, fetching deeper references on demand.
  • Token Budgeting: Enforces strict limits on line counts and word counts to ensure efficiency during agent reasoning.
  • Platform-Aware Templates: Provides specific syntax for Bash, CMD, and PowerShell within a single skill.
  • Automated Validation: Includes pre-publish checklists and scripts to prevent broken registry entries.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*