skill-creator

Create, edit, and audit AgentSkills according to the AgentSkills specification.

386k|81.1k|Updated Nov 24, 2025
One-click install
npx skills add https://github.com/openclaw/openclaw --skill skill-creator-openclaw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/openclaw/openclaw/tree/main/skills/skill-creator
Command: npx skills add https://github.com/openclaw/openclaw --skill skill-creator-openclaw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation, editing, and auditing of AI Skills, ensuring they are well-structured, efficient, and adhere to best practices, making AI development more accessible and effective.

Core Features & Use Cases

  • Skill Creation: Guides users through initializing and structuring new skills from scratch.
  • Skill Improvement: Provides methods for editing, tidying up, and optimizing existing skills and their SKILL.md files.
  • Auditing & Validation: Ensures skills meet the AgentSkills specification and are token-efficient.
  • Use Case: When you need to create a new skill to manage GitHub issues, or when you want to improve an existing skill's description and structure for better AI understanding.

Quick Start

Use the skill-creator to start building a new skill named 'github-issue-manager'.

Frequently Asked Questions about skill-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an AI agent skill from scratch?

AI skill creation involves structuring new components according to the AgentSkills specification. This tool guides you through initializing, naming conventions, progressive disclosure design principles, and packaging processes for efficient agent development.

What is progressive disclosure design in AI skills?

Progressive disclosure design is a principle for structuring AI skills to be token-efficient. It ensures agents receive only necessary information at each stage, optimizing performance and adherence to the AgentSkills specification.

How do I audit an existing AI skill for AgentSkills specification compliance?

Auditing an AI skill for compliance involves validating its structure, description, and token efficiency against the AgentSkills specification. This tool provides methods to ensure your existing skills meet required standards for better AI understanding.

Can I use this to improve an existing skill's SKILL.md file?

Yes, you can use this to improve an existing skill's SKILL.md file. It provides methods for editing, tidying up, and optimizing descriptions and structures to ensure better AI understanding and adherence to best practices.

Do I need any specific dependencies to build agent development skills?

No specific dependencies are required to build agent development skills. This tool operates independently with included scripts and references, allowing you to create and refine AI skills without external packages.

What is the best way to optimize a skill for token efficiency?

The best way to optimize a skill for token efficiency is by auditing its structure against the AgentSkills specification. This involves refining the SKILL.md descriptions and applying progressive disclosure design principles to minimize unnecessary token usage.