skill-development

Create, refactor, and validate AI agent skills with structured processes.

Updated Dec 25, 2025

Search Tags:#skill development #refactoring #prompt engineering #code generation #AI development #agent skills

Ready to run

npx skills add https://github.com/mourato/prisma --skill skill-development-mourato

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-development
Source: https://github.com/mourato/prisma/tree/main/.agents/skills/skill-development
Command: npx skills add https://github.com/mourato/prisma --skill skill-development-mourato

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the creation, refactoring, and validation of AI agent skills, ensuring they are well-defined, modular, and easy to use.

Core Features & Use Cases

Skill Creation: Generates new skill directories with essential files (SKILL.md, scripts/, references/, assets/).
Refactoring: Helps improve existing skills by clarifying scope, standardizing triggers, and splitting large files.
Use Case: When you need to create a new skill for managing user feedback, this skill will set up the basic structure and guide you through defining its triggers and resources.

Quick Start

Use the skill-development skill to create a new skill named 'user-feedback-analyzer'.

Frequently Asked Questions about skill-development

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

FAQPage Schema

How do I create a new AI agent skill from scratch?▼

To create a new AI agent skill, use this skill to bootstrap a structured directory containing essential files like `SKILL.md`, `scripts/`, and `references/`. It guides you through defining clear triggers and managing resources for modular AI development.

What is the best way to refactor a monolithic SKILL.md file?▼

The best way to refactor a monolithic SKILL.md file is to use this skill to split large files, clarify scope, and standardize triggers. It ensures modularity and improves resource management in AI agent skills.

Why do I need to standardize frontmatter for AI skill development?▼

Standardizing frontmatter is needed for AI skill development to ensure discoverability and clear trigger definitions. This process provides a structured format that makes skills easier to validate and manage.

How does modular skill development improve AI agent performance?▼

Modular skill development improves AI agent performance by addressing the need for clear trigger definitions and efficient resource management. This structured process allows agents to handle specific tasks without monolithic overhead.

Can I use this for code generation and prompt engineering tasks?▼

Yes, you can use this for code generation and prompt engineering tasks by generating new skill directories that include `scripts/` and `references/`. It supports the creation and validation of AI development components.