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GS1Ned
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skill-creator

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

Updated Jan 25, 2026
Search Tags:#skill development#prompt engineering#optimization#llm#evaluation#ai agent
One-click install
npx skills add https://github.com/GS1Ned/isa_web_clean --skill skill-creator-gs1ned
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/GS1Ned/isa_web_clean/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/GS1Ned/isa_web_clean --skill skill-creator-gs1ned

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, refining, and evaluating AI-powered skills, making it easier for users to build custom AI capabilities.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, writing SKILL.md, and structuring skill resources.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of skills based on performance metrics and user feedback.
  • Description Optimization: Enhances skill triggering accuracy by optimizing the description field in SKILL.md.
  • Use Case: You have an idea for a new AI skill to summarize meeting notes. Use this Skill to help you write the SKILL.md, create test cases, run evaluations, and improve the skill's description until it reliably triggers when needed.

Quick Start

Use the skill-creator to help me build a new skill that can generate commit messages from code changes.

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 an AI agent?▼

To write a SKILL.md file, define your AI agent skill intent and structure the necessary resources. This process is facilitated by guiding you through defining intent and organizing the skill components for accurate triggering.

What is the best way to evaluate LLM performance for custom skills?▼

Evaluating LLM performance for custom skills involves developing test cases and running evaluations against performance metrics. This Skill integrates with testing frameworks to measure and refine your AI agent capabilities.

How do I optimize AI skill descriptions for reliable triggering?▼

Optimizing AI skill descriptions for reliable triggering requires refining the description field in your SKILL.md file. This iterative improvement enhances triggering accuracy based on performance metrics and user feedback.

Can I use this for end-to-end prompt engineering and skill development?▼

Yes, this supports end-to-end prompt engineering and skill development. It facilitates the complete lifecycle of AI skills, from initial creation and writing SKILL.md files to iterative improvement and performance measurement.

Why does my AI skill fail to trigger correctly in testing frameworks?▼

An AI skill fails to trigger correctly due to an unoptimized description field in SKILL.md. Resolve this by running evaluations, analyzing performance metrics, and iteratively refining the skill description.

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