skill-creator

Create and refine AI skills with SKILL.md files and test cases.

1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/hiro1989/copy-path-for-claude-code --skill skill-creator-hiro1989
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/hiro1989/copy-path-for-claude-code/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/hiro1989/copy-path-for-claude-code --skill skill-creator-hiro1989

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the entire process of creating and improving AI skills, from initial concept to performance optimization, making AI development accessible and efficient.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, interviewing for edge cases, and writing SKILL.md files.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of skills based on performance metrics and user feedback.
  • Description Optimization: Enhances skill discoverability and triggering accuracy through automated prompt engineering.
  • Use Case: A developer wants to create a new skill to summarize meeting transcripts. They use this Skill to draft the SKILL.md, write test cases, run evaluations, analyze results, and optimize the skill's description for better triggering.

Quick Start

Use the skill-creator to help me build a new skill that can summarize meeting transcripts.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I build an AI skill from scratch using prompt engineering?

To build an AI skill, define the skill intent, handle edge cases through interviews, and write the `SKILL.md` file to structure the prompt engineering and core processing logic.

What is the best way to write and optimize AI skill descriptions for better triggering?

Optimizing AI skill descriptions requires automated prompt engineering to enhance discoverability and triggering accuracy, ensuring the skill activates reliably for intended tasks and user queries.

How do I test and evaluate LLM development performance benchmarks?

You evaluate LLM development performance by generating specific test cases, running evaluation frameworks, and analyzing performance benchmarks to refine reliability based on metrics and feedback.

Can I run iterative improvement workflows for existing AI tools?

Yes, you can run iterative improvement workflows for existing AI tools by testing them against generated cases, analyzing evaluation results, and refining their logic for better quality.

What is a SKILL.md file and when do I need it for LLM development?

A `SKILL.md` file defines the intent and instructions for an AI skill. You need it during LLM development to provide the structured workflow required for reliable task execution.