skill-creator

Guide creating and structuring AI skills with SKILL.md and supporting files.

Updated Nov 13, 2025
One-click install
npx skills add https://github.com/466852675/TISHICIKU-2025 --skill skill-creator-466852675
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/466852675/TISHICIKU-2025/tree/main/07-Skill%E5%BA%93/skill-creator
Command: npx skills add https://github.com/466852675/TISHICIKU-2025 --skill skill-creator-466852675

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides guidance for creating effective skills, which are modular, self-contained packages that extend AI capabilities with specialized knowledge, workflows, and tools.

Core Features & Use Cases

  • Skill Anatomy: Understand the structure of a skill (SKILL.md, scripts/, references/, assets/).
  • Core Principles: Learn about conciseness, degrees of freedom, and progressive disclosure.
  • Skill Creation Process: Follow step-by-step guidance for understanding, planning, initializing, editing, packaging, and iterating on skills.
  • Use Case: When you need to build a new skill to add custom functionality or domain expertise to an AI agent.

Quick Start

Use the skill-creator skill to learn how to build a new AI 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 skill to extend agent capabilities with custom workflows?

To create an AI skill, structure your domain expertise into a modular package containing a SKILL.md file, scripts, and references. This process extends AI capabilities by embedding specialized knowledge and tool integrations.

What is the standard anatomy of an AI skill package?

The anatomy of an AI skill includes a core SKILL.md file, a scripts directory for logic, a references folder for documentation, and an assets folder. These components structure specialized knowledge for AI development.

What are the core design principles for effective prompt engineering and skill creation?

Core design principles for skill creation include maintaining conciseness, limiting degrees of freedom, and applying progressive disclosure. These prompt engineering practices ensure workflows remain structured and predictable.

What is the step-by-step process for developing and packaging AI skills?

Developing AI skills involves understanding requirements, planning the workflow, initializing the structure, editing content, packaging components, and iterating. This step-by-step process ensures robust tool integration and functionality.

When do I need to build a custom skill versus using existing tool integrations?

Build a custom skill when you need to add specific domain expertise or custom workflows that existing tool integrations lack. This approach packages specialized knowledge into a self-contained module for AI agents.

Can I use scripts and references to add domain expertise to an AI agent?

Yes, you can use scripts and references within a skill package to inject domain expertise into an AI agent. This structure supports custom workflow design and specialized tool integration.