skill-creator

Guide users through creating and refining AI skills with structured development steps.

28|6|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/jzila/canopy --skill skill-creator-jzila
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/jzila/canopy/tree/main/.codex/skills/.system/skill-creator
Command: npx skills add https://github.com/jzila/canopy --skill skill-creator-jzila

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide for creating and improving AI skills, ensuring they are efficient, well-structured, 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 best practices for conciseness, progressive disclosure, and setting degrees of freedom.
  • Development Process: Follow a step-by-step guide from understanding requirements to packaging and iteration.
  • Use Case: A developer needs to create a new skill to interact with a specific company API. They use this Skill to understand the required structure, naming conventions, and how to best document the API endpoints for the AI.

Quick Start

Follow the steps outlined in this skill to create a new skill for your project.

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 from scratch?

To create an AI skill, follow a step-by-step development process covering skill anatomy, design principles, and resource bundling to ensure the skill is well-structured and easy for AI agents to use.

What are the core components of an AI skill?

The core components of an AI skill include the SKILL.md file, scripts, references, and assets, which together define the skill's structure and provide necessary context for AI agents.

What are the best practices for AI skill design and documentation?

Best practices for AI skill design emphasize conciseness, progressive disclosure, and setting degrees of freedom, ensuring efficient context management and clear documentation for AI agents.

How do I structure documentation for a new AI agent capability?

Structure AI agent capability documentation by following naming conventions and clearly defining API endpoints, ensuring the skill anatomy and resources are bundled efficiently for agent consumption.

Can I use this to build a skill that interacts with a specific company API?

Yes, you can use this skill to build a custom skill for a specific company API by following the provided guides on required structure, naming conventions, and documenting endpoints for the AI.

What is progressive disclosure in AI skill development?

Progressive disclosure in AI skill development is a design principle that manages context efficiently by providing information to the agent only as it becomes necessary for the task.