skill-creator

Guide creation of AI skills with SKILL.md structure and design principles.

Updated Feb 6, 2026

Search Tags:#skill development #best practices #documentation #AI agent #packaging #guidelines

Ready to run

npx skills add https://github.com/EATSTEAK/dotagents --skill skill-creator-eatsteak

💬 Prompt for ChatGPT / Claude Chat▼

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

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, ensuring they are well-structured, efficient, and easy for AI agents to use.

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 for developing new skills.
Use Case: When a user wants to build a new AI skill to handle specific tasks, like processing financial reports or interacting with a custom API, this skill guides them through the entire process from planning to packaging.

Quick Start

Use this skill to learn how to create 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 structure an AI agent skill for specific workflows?▼

Structure an AI agent skill using a standard anatomy with a SKILL.md file, alongside scripts, references, and assets directories. This layout separates core instructions from executable code and supporting documentation, ensuring agents can parse and execute specialized workflows efficiently.

What are the best practices for AI skill development?▼

Best practices for AI skill development emphasize conciseness, progressive disclosure, and setting degrees of freedom. These principles ensure your skill provides specialized knowledge without overwhelming the agent, allowing it to handle specific tasks effectively.

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

The step-by-step process for creating AI skills involves planning the workflow, structuring the SKILL.md and directories, iteratively refining the instructions, and packaging the components. This ensures your custom knowledge is ready for agent deployment.

Can I use skill-creator to build workflows for custom APIs?▼

Yes, you can use this guidance to build skills for interacting with custom APIs or processing specific data like financial reports. It provides the structural framework needed to map external API interactions into a format the AI agent can execute.

When should I use progressive disclosure in AI documentation?▼

Use progressive disclosure in AI documentation when a skill requires extensive context but must maintain conciseness. It allows the agent to access deeper layers of information only when needed, preventing context overload during initial task execution.