skill-creator

Create and refine AI skills with SKILL.md and baseline testing.

1|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/kangnam7654/ai-config-sync --skill skill-creator-kangnam7654
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/kangnam7654/ai-config-sync/tree/main/claude-code/skills/skill-creator
Command: npx skills add https://github.com/kangnam7654/ai-config-sync --skill skill-creator-kangnam7654

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and 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 evaluation, making AI development accessible and efficient.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, writing SKILL.md, and structuring skill directories.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of skills based on user feedback and performance metrics.
  • Performance Benchmarking: Runs baseline comparisons and analyzes results to identify areas for optimization.
  • Description Optimization: Automatically refines skill descriptions for better triggering accuracy using an evaluation loop.
  • 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 against Claude's baseline performance, analyze the results, and iterate on the skill's instructions and description until it performs optimally.

Quick Start

Use the skill-creator to help me build a new skill that summarizes 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 write a SKILL.md file for AI agent development?

Writing a SKILL.md file for AI agent development involves defining the skill intent, structuring directories, and following guided authoring steps to ensure robust quality assurance and performance optimization.

What is automated performance benchmarking for prompt engineering?

Automated performance benchmarking for prompt engineering runs baseline comparisons against Claude's performance to analyze results and identify areas for iterative skill optimization and refinement.

How do I improve AI skill discoverability and invocation accuracy?

You improve AI skill discoverability and invocation accuracy by using an evaluation loop to automatically refine and tune skill descriptions for better triggering accuracy.

Can I run quantitative evaluations on custom AI skills?

Yes, you can run quantitative evaluations on custom AI skills by executing automated tests with baseline comparisons to measure performance and guide iterative improvement.

What is the best way to structure an AI agent skill directory?

The best way to structure an AI agent skill directory is to use a guided creation process to define intent, write the SKILL.md file, and organize scripts, references, and assets.