skill-creator

Create, refine, and evaluate AI skills with test cases.

2|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/caoronglin/copaw-skills --skill skill-creator-caoronglin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/caoronglin/copaw-skills/tree/main/skills/skill-creator
Command: npx skills add https://github.com/caoronglin/copaw-skills --skill skill-creator-caoronglin

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill empowers users to create new AI skills from scratch, improve existing ones based on performance, and rigorously test their functionality and accuracy.

Core Features & Use Cases

  • Skill Creation: Guides users through defining a skill's purpose, triggers, and instructions.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of skills based on feedback and performance metrics.
  • Performance Benchmarking: Runs test cases to compare skill versions and identify areas for optimization.
  • Description Optimization: Fine-tunes skill descriptions to ensure accurate triggering by the AI.
  • Use Case: A user wants to build a new skill to summarize meeting notes. They use this Skill to draft the initial instructions, create test prompts, run evaluations, and optimize the skill's description for better discovery.

Quick Start

Use the skill creator to start building a new skill for summarizing meeting notes.

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 test AI skills from scratch?

To create and test AI skills, you define the skill's purpose, triggers, and instructions, then write test cases and run evaluations to analyze execution results. This end-to-end process supports rapid prototyping and robust skill engineering.

How can I optimize AI skill descriptions for accurate triggering?

Optimizing AI skill descriptions involves fine-tuning the trigger instructions to ensure accurate AI activation. The skill creator evaluates performance metrics from test cases to refine descriptions for better discovery and execution accuracy.

What is the best way to improve existing AI skills based on performance?

Improving existing AI skills requires iterative refinement based on performance benchmarking. You run test cases to compare skill versions, identify areas for optimization, and refine the logic until execution results meet accuracy standards.

Can I benchmark different versions of an AI skill during development?

Yes, you can benchmark AI skill versions during development. The skill creator runs designated test cases to compare versions, analyze execution results, and identify specific areas for optimization and iterative improvement.

Do I need prior prompt engineering experience to build AI skills?

Prior prompt engineering experience is not strictly required to build AI skills. The skill creator guides users through defining skill logic, writing test cases, and refining instructions, facilitating the end-to-end development lifecycle for rapid prototyping.