skill-creator

Name: skill-creator
Availability: InStock
Author: codenburg

Create AI skills with structured guidelines, activation rules, and output contracts.

Updated Mar 28, 2026

Search Tags:#skill management #skill structure #AI skill creation #skill frontmatter #LLM-first skills

Ready to run

npx skills add https://github.com/Codenburg/skills --skill skill-creator-codenburg

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Codenburg/skills/tree/main/skill-creator
Command: npx skills add https://github.com/Codenburg/skills --skill skill-creator-codenburg

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill assists in creating and organizing AI skills, ensuring they are well-structured and easy to maintain.

Core Features & Use Cases

Skill Creation Guidelines: Provides comprehensive guidelines for creating effective AI skills.
Hard Rules & Decision Gates: Helps define clear rules and decision paths for skill activation.
Execution Steps: Outlines a systematic approach to creating a skill, from activation to output.
Output Contract: Ensures the skill provides the expected results in a predictable format.
References: Includes links to style guides and documentation for further reference.

Quick Start

To create a new AI skill, follow the instructions outlined in the 'skill-creator' skill's SKILL.md file.

Frequently Asked Questions about skill-creator

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

FAQPage Schema

How do I structure an LLM-first AI skill with proper frontmatter?▼

You structure an LLM-first AI skill by defining frontmatter with activation rules, execution steps, and output contracts. This ensures the skill is predictable and easy to maintain.

What is an output contract in AI skill management?▼

An output contract in AI skill management ensures the skill provides expected results in a predictable format. It defines the exact output structure the LLM must follow during execution.

How do I define hard rules and decision gates for skill activation?▼

You define hard rules and decision gates for skill activation by establishing clear execution steps within your AI skill. This creates a systematic path from activation to final output.

Can I use this approach to manage AI skills for AI agents?▼

Yes, this approach is designed for AI agents and developers who need to create, manage, and maintain AI skills. It provides comprehensive guidelines for effective skill creation.

What's the best way to organize execution steps when creating an AI skill?▼

The best way to organize execution steps is to outline a systematic approach from activation to output. Following the guidelines in the skill's SKILL.md file ensures proper structure and maintenance.