skill-creator

Creates, organizes, and packages AI agent skills into distributable .skill files.

Updated Aug 23, 2026

Search Tags:#skill development #developer tools #agent framework #packaging #AI skills #resource management

Ready to run

npx skills add https://github.com/GML-FMGroup/cloud_agent --skill skill-creator-gml-fmgroup

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/GML-FMGroup/cloud_agent/tree/main/cloud_agent/skills/skill-creator
Command: npx skills add https://github.com/GML-FMGroup/cloud_agent --skill skill-creator-gml-fmgroup

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of creating, structuring, and packaging AI skills, ensuring they are efficient, well-organized, and ready for deployment.

Core Features & Use Cases

Skill Initialization: Generates a new skill directory with a template SKILL.md and optional resource folders.
Resource Management: Guides the inclusion and organization of scripts, references, and assets.
Packaging & Validation: Packages skills into a distributable format and validates them against best practices.
Use Case: A developer needs to create a new skill for interacting with a specific API. They use this skill to quickly set up the directory structure, write the SKILL.md, and add necessary Python scripts and API documentation references.

Quick Start

Initialize a new skill named 'api-handler' in the 'skills/public' directory with script and reference resources.

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 package AI skills for agent frameworks?▼

To create and package AI skills, you need a structured process for skill initialization, resource organization, and validation. This approach generates a skill directory with a template SKILL.md and optional resource folders, ensuring modularity and reusability before deployment.

What is the best way to organize scripts and references for AI agent skills?▼

Organizing scripts and references for AI agent skills requires dedicated resource management. You can structure capabilities by guiding the inclusion and separation of scripts, references, and assets into distinct folders, ensuring efficient and well-organized deployment.

How do I validate AI skills before packaging them into a distributable format?▼

Validating AI skills before packaging them into a distributable format involves checking them against best practices. This process ensures your skill initialization and resource organization meet modularity and reusability standards, resulting in a ready-to-deploy .skill file.

Do I need a specific directory structure to develop AI skills for API interactions?▼

Developing AI skills for API interactions requires a specific directory structure to maintain modularity. You can quickly set up the directory structure, write the SKILL.md file, and add necessary Python scripts and API documentation references to support the capability.

Can I initialize a new skill directory with custom resource folders?▼

Yes, you can initialize a new skill directory with custom resource folders. Skill initialization generates a new directory containing a template SKILL.md and allows you to include optional resource folders for scripts, references, and assets during setup.