skill-creator

Guide developers through creating and documenting AI skills with structured workflows.

4|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/KuaaMU/omnihive --skill skill-creator-kuaamu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/KuaaMU/omnihive/tree/main/library/real-skills/skill-creator
Command: npx skills add https://github.com/KuaaMU/omnihive --skill skill-creator-kuaamu

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides guidance and a structured process for creating new AI skills or updating existing ones, ensuring they are effective, efficient, and well-documented.

Core Features & Use Cases

  • Skill Anatomy: Explains the structure of a skill (SKILL.md, scripts/, references/, assets/).
  • Design Principles: Covers conciseness, progressive disclosure, and setting degrees of freedom.
  • Creation Process: Outlines a step-by-step guide from understanding the skill to iteration.
  • Resource Management: Details when and how to use scripts, references, and assets.
  • Use Case: A developer needs to create a new skill to interact with a specific company API. They use this Skill to understand the best practices for structuring the skill, writing the SKILL.md, and organizing necessary API documentation in the references/ directory.

Quick Start

Use the skill-creator skill to understand how to create a new skill.

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?

To create an AI agent skill, follow a structured workflow covering requirements understanding, SKILL.md writing, and resource packaging. This process ensures the skill is effective, efficient, and well-documented for reusable AI capabilities.

What is the best way to structure AI skill documentation?

The best way to structure AI skill documentation is using a specific anatomy: a SKILL.md file, along with scripts/, references/, and assets/ directories. This organization ensures proper resource management and clear guidance for the AI agent.

How does progressive disclosure work in AI skill development?

Progressive disclosure in AI skill development involves designing conciseness and setting degrees of freedom within the SKILL.md. This design principle prevents overwhelming the AI agent by revealing information only as needed during task execution.

When do I need to use scripts versus references in an AI skill?

You need to use scripts for executable resource management and references for static documentation like API guides within an AI skill. Proper resource management dictates organizing these components in their respective directories for efficient agent processing.

Can I use this workflow to build a skill for a specific company API?

Yes, you can use this workflow to build a skill for a specific company API. The creation process guides you to structure the skill, write the SKILL.md, and organize the necessary API documentation in the references/ directory for seamless interaction.

What are the limitations when updating existing AI skills?

When updating existing AI skills, limitations arise if you bypass the structured iteration process or ignore core principles like conciseness and progressive disclosure. Proper resource management and adhering to the skill anatomy are required to maintain efficiency.