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Zoimback
ZoimbackCOMMUNITY
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skill-creator

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

Updated Mar 6, 2026
Search Tags:#skill development#testing#prompt engineering#optimization#evaluation#ai agent
One-click install
npx skills add https://github.com/Zoimback/copilot-dev-core --skill skill-creator-zoimback
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Zoimback/copilot-dev-core/tree/main/.github/skills/skill-creator
Command: npx skills add https://github.com/Zoimback/copilot-dev-core --skill skill-creator-zoimback

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, improving, and evaluating AI skills, making it accessible even for those new to AI development.

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: Automatically tunes skill descriptions for optimal triggering accuracy.
  • Use Case: You have an idea for a new AI capability, like summarizing meeting notes. This Skill will help you draft the skill, test it with sample prompts, analyze its performance, and refine its description so Claude uses it effectively.

Quick Start

Use the skill-creator to help me build a new skill that can summarize technical documentation.

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 an AI skill from scratch?▼

To build an AI skill, define the intent, write the SKILL.md file, and structure resources. Test the skill iteratively using automated evaluation and grading agents to analyze performance metrics and refine its outputs.

What is the process for optimizing AI agent skill descriptions for better triggering?▼

Optimizing AI agent skill descriptions involves automatically tuning the metadata to enhance discoverability and triggering accuracy. This ensures the AI agent selects and executes the correct skill based on user prompts.

Can I evaluate AI agent performance using automated testing?▼

Yes, you can evaluate AI agent performance through integrated execution and grading agents. This automated testing mechanism analyzes performance metrics and user feedback to facilitate comprehensive iterative refinement.

Do I need prior prompt engineering experience to create AI capabilities?▼

No prior prompt engineering experience is required. The skill creation process guides you through defining intent and writing SKILL.md, making AI development accessible from the initial concept to deployment and optimization.

What's the best way to refine an existing AI skill's performance?▼

The best way to refine AI skill performance is through iterative improvement based on performance metrics and user feedback. This involves automated testing, evaluation, and description tuning for enhanced execution accuracy.

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