skill-creator

Create and structure new AI skills with standardized directories and packaging.

1.1k|99|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/MooseGoose0701/skill-compose --skill skill-creator-moosegoose0701
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/MooseGoose0701/skill-compose/tree/main/skills/skill-creator
Command: npx skills add https://github.com/MooseGoose0701/skill-compose --skill skill-creator-moosegoose0701

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of creating, documenting, and packaging new AI skills, ensuring they are well-defined, efficient, and easy for AI agents to use.

Core Features & Use Cases

  • Skill Initialization: Generates a standardized skill directory structure with essential files like SKILL.md.
  • Guidance on Best Practices: Provides detailed instructions on structuring skills, managing context, and utilizing bundled resources (scripts, references, assets).
  • Packaging and Validation: Includes scripts to validate and package skills into distributable formats.
  • Use Case: A developer needs to create a new skill to interact with a specific API. They use this Skill to quickly set up the skill's directory, get guidance on writing the SKILL.md description, and learn how to include necessary API documentation in the references folder.

Quick Start

Use the skill-creator to initialize a new skill named 'api-helper' in the 'skills/private' directory.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create and structure a new AI skill?

To package an AI skill for distribution, you use included validation and packaging scripts. These scripts compile your skill directory, references, and assets into a distributable format, ensuring the final package is well-defined and ready for agent consumption.

What are the best practices for AI skill design and context management?

Best practices for AI skill design involve structuring skills efficiently and utilizing bundled resources like scripts, references, and assets. This approach ensures progressive disclosure of information, making the skill easy for AI agents to use without overwhelming their context limits.

How do I bundle API documentation into an AI agent skill?

To bundle API documentation into an AI agent skill, you include the necessary files in the references folder during skill initialization. This ensures the API documentation is packaged directly within the skill directory for the agent to access.

Does this skill development process work without external dependencies?

Yes, this skill development process works without external dependencies. It provides standalone scripts and references to guide the entire development lifecycle from concept to a distributable skill package without requiring additional frameworks.

What is the process for validating a distributable AI skill package?

Validating a distributable AI skill package involves running specific packaging and validation scripts provided within the skill development environment. These scripts check the skill structure and SKILL.md definitions to ensure they meet distribution standards.