create-skill

Guide creation of custom prompt skills in SKILL.md Markdown format.

24|2|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/GNHua/oneclaw --skill create-skill-gnhua
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-skill
Source: https://github.com/GNHua/oneclaw/tree/main/app/src/main/assets/skills/create-skill
Command: npx skills add https://github.com/GNHua/oneclaw --skill create-skill-gnhua

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the process of creating new AI capabilities by guiding users through defining and structuring custom prompt skills.

Core Features & Use Cases

  • Guided Skill Creation: Provides a step-by-step workflow for defining skill names, parameters, tools, and prompt content.
  • Format Enforcement: Ensures adherence to the SKILL.md file structure and naming conventions.
  • Use Case: A user wants to create a new skill to summarize meeting transcripts. They can use this skill to define the skill's name (summarize-meeting), specify that it needs the read_file tool, and outline the prompt instructions for the AI.

Quick Start

Use the create-skill skill to make a new skill that analyzes code quality.

Frequently Asked Questions about create-skill

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

FAQPage Schema
How do I create custom AI skills for an AI agent platform?

To create custom AI skills, you need to define skill metadata, parameters, tool requirements, and prompt content according to a specified Markdown format. This process structures your prompt engineering workflows into reusable agent capabilities.

What is the SKILL.md file structure for defining prompt skills?

The SKILL.md file structure is a specified Markdown format used to define skill names, parameters, required tools, and prompt content. It enforces naming conventions to ensure your custom AI development configurations are parsed correctly.

How do I add new workflow automation capabilities to my AI agent?

You can add workflow automation capabilities through a guided skill creation process. This involves specifying the skill's name, declaring tools like read_file, and outlining prompt instructions to extend the agent's functionality.

Do I need coding dependencies to build custom prompt skills?

No coding dependencies are required to build custom prompt skills. The creation process relies on defining metadata and outlining prompt instructions in Markdown, making AI development customization accessible without external libraries.

What is the best way to structure prompt engineering instructions for AI agents?

The best way to structure prompt engineering instructions is by using a guided, step-by-step workflow to define skill names, parameters, tools, and prompt content. This ensures adherence to formatting standards and facilitates capability extension.

When should I use a structured Markdown format for AI skill creation?

You should use a structured Markdown format for AI skill creation when you need to reliably extend AI agent capabilities. It enforces naming conventions and metadata definitions, preventing errors when integrating custom prompt skills into your platform.