skill-creator

Guide creation, structuring, and packaging of AI skills with SKILL.md.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/drshk5/erp_sales --skill skill-creator-drshk5
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/drshk5/erp_sales/tree/main/.ai/skills/skill-creator
Command: npx skills add https://github.com/drshk5/erp_sales --skill skill-creator-drshk5

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide and best practices for creating, structuring, and packaging effective AI Skills, ensuring they are efficient, modular, and easy for AI agents to use.

Core Features & Use Cases

  • Skill Anatomy: Understand the structure of a Skill (SKILL.md, scripts/, references/, assets/).
  • Design Principles: Learn about conciseness, progressive disclosure, and setting appropriate degrees of freedom.
  • Development Process: Follow a step-by-step guide from understanding the skill to iteration.
  • Use Case: A developer needs to create a new AI Skill to help an AI agent interact with a specific API. They use this Skill to understand how to structure the SKILL.md file, what kind of documentation to put in references/, and how to write efficient scripts.

Quick Start

Use the skill-creator to understand the anatomy and best practices for building 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 skill for an agent to use effectively?

To structure an AI skill effectively, you need a main SKILL.md file along with directories for scripts, references, and assets. This modular organization ensures the AI agent can efficiently parse instructions and locate supporting documentation.

What are the best practices for writing AI agent documentation?

Best practices for AI agent documentation include maintaining conciseness, applying progressive disclosure, and setting appropriate degrees of freedom. These core design principles prevent overwhelming the agent while ensuring precise task execution.

How do I package a new AI skill from start to finish?

Packaging a new AI skill follows a step-by-step development process from understanding initial requirements to iteration. You must organize your scripts, references, and assets correctly to ensure the final skill is modular and efficient.

What is progressive disclosure when developing AI skills?

Progressive disclosure in AI skill development is a design principle that structures information so the agent receives only necessary details initially. This approach keeps the core SKILL.md concise while moving complex documentation into references.

Can I use this approach to build an AI skill for a specific API?

Yes, you can use this development process to build an AI skill for a specific API. The guide helps you understand how to structure the SKILL.md file and write efficient scripts so the agent can interact with external services correctly.

Why does my AI agent struggle to execute complex skill instructions?

AI agents struggle with complex instructions when skill development ignores conciseness and appropriate degrees of freedom. Moving detailed logic into scripts and references while keeping the main SKILL.md concise resolves this execution friction.