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yasuwrldhyper
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skill-creator

Create and refine AI skills with SKILL.md metadata and benchmark testing.

Updated Mar 7, 2026
Search Tags:#skill development#prompt engineering#benchmarking#evaluation#ai skills#iterative improvement
One-click install
npx skills add https://github.com/yasuwrldhyper/ai-skills-collection --skill skill-creator-yasuwrldhyper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/yasuwrldhyper/ai-skills-collection/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/yasuwrldhyper/ai-skills-collection --skill skill-creator-yasuwrldhyper

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 lifecycle of creating and improving AI skills, from initial concept to performance benchmarking and description optimization.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, interviewing, and writing SKILL.md.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of skills based on user feedback and quantitative metrics.
  • Description Optimization: Enhances skill triggering accuracy through automated prompt engineering and evaluation.
  • Use Case: You have an idea for a new AI skill to automate code documentation. Use this Skill to draft the SKILL.md, write test cases, run evaluations against different description phrasings, and iterate until the skill reliably triggers for relevant user requests.

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 build and test AI skills end-to-end?▼

To build AI skills, you define user intent, write the SKILL.md instructions, and execute test cases with baseline comparisons. The skill-creator facilitates this entire lifecycle, including iterative refinement and performance benchmarking to ensure reliable operation.

What is the best way to optimize AI skill descriptions for accurate triggering?▼

The best way to optimize AI skill descriptions is through automated prompt engineering loops that evaluate and refine phrasing. This description optimization process enhances triggering accuracy by iteratively testing different metadata variations against relevant user requests.

How does benchmarking work for iterative prompt engineering?▼

Benchmarking for iterative prompt engineering works by executing test cases, analyzing quantitative metrics from baseline comparisons, and refining instructions based on the results. This structured workflow identifies performance gaps to improve AI skills systematically.

Can I use automated prompt engineering loops to refine existing AI skills?▼

Yes, you can use automated prompt engineering loops to refine existing AI skills. The skill-creator supports iterative improvement by facilitating testing and evaluation, allowing you to update metadata and instructions based on user feedback and quantitative benchmarking.

Do I need any specific frameworks to start AI skill development?▼

No specific frameworks are required to start AI skill development. The skill-creator operates without dependencies, guiding you through capturing user intent and writing skill metadata to build functional AI skills from scratch.

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