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mgoericke
mgoerickeCOMMUNITY
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skill-creator

Create, test, evaluate, and optimize AI skills with SKILL.md files.

1|Updated Mar 1, 2026
Search Tags:#skill development#AI tools#developer tools#prompt engineering#optimization#evaluation
One-click install
npx skills add https://github.com/mgoericke/claude-skills-devcontainer --skill skill-creator-mgoericke
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/mgoericke/claude-skills-devcontainer/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/mgoericke/claude-skills-devcontainer --skill skill-creator-mgoericke

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, 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 optimizing AI-powered skills, making advanced AI development accessible to everyone.

Core Features & Use Cases

  • Skill Creation: Guide users through defining intent, interviewing for details, and writing the SKILL.md file from scratch.
  • Iterative Improvement: Refine existing skills based on user feedback and performance metrics.
  • Evaluation & Benchmarking: Set up, run, and analyze test cases to measure skill performance and identify areas for improvement.
  • Description Optimization: Automatically tune skill descriptions for better triggering accuracy.
  • Use Case: You have an idea for a new AI skill to help with code documentation. Use this Skill to draft the SKILL.md, create test prompts, evaluate its performance, and optimize its description so Claude uses it effectively.

Quick Start

Use the skill creator to help me build a new skill for summarizing 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 and deploy AI skills from scratch?▼

To build AI skills, define the intent, gather details through interviews, and generate the SKILL.md file. This facilitates end-to-end skill development from initial concept to optimized deployment, ensuring robust AI capabilities.

What is the process for evaluating and benchmarking AI skill performance?▼

Evaluating AI skill performance involves setting up, running, and analyzing test cases. This measures performance, identifies areas for iterative improvement, and integrates with testing frameworks to ensure effectiveness.

How can I optimize AI skill descriptions for better triggering accuracy?▼

Optimize AI skill descriptions through automated description tuning. This refines text to enhance discoverability and ensures Claude triggers the correct skill effectively based on user prompts.

Do I need Anthropic to refine existing AI skills based on user feedback?▼

Yes, Anthropic is required. You can iteratively refine existing AI skills by analyzing user feedback and performance metrics, using integrated testing frameworks to ensure updated capabilities remain robust.

What is automated description tuning for AI prompt engineering?▼

Automated description tuning adjusts skill descriptions to improve triggering accuracy. It enhances discoverability so the AI reliably selects the correct capability during prompt engineering tasks.

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