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skill-creator

Create and refine AI skills through structured design and evaluation workflows.

Updated Jun 18, 2026
Search Tags:#prompt optimization#skill creation#benchmarking#claude skills#evaluation#ai workflows
One-click install
npx skills add https://github.com/zzr2718281828/claude-physics --skill skill-creator-zzr2718281828
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/zzr2718281828/claude-physics/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/zzr2718281828/claude-physics --skill skill-creator-zzr2718281828

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill helps users create, refine, test, and optimize AI skills by providing a structured workflow for designing instructions, evaluating performance, and improving triggering accuracy.

Core Features & Use Cases

  • Skill Design Workflow: Guides the creation of new skills by capturing intent, drafting SKILL.md files, and organizing reusable resources.
  • Evaluation and Benchmarking: Supports test case creation, comparative evaluation, benchmark analysis, and iterative improvements based on results.
  • Description Optimization: Helps improve skill descriptions so relevant user requests trigger the right skill more reliably.
  • Use Case: A developer building a document-processing skill can use this Skill to define requirements, create evaluation prompts, measure results, and refine the skill over multiple iterations.

Quick Start

Use the skill creator to help me build and evaluate a new AI skill for automating my workflow.

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 evaluate a new AI skill from scratch?▼

To build and evaluate an AI skill, use a structured workflow to capture intent, draft a SKILL.md file, create test cases, and run comparative benchmark analysis for iterative instruction refinement.

What is AI skill description optimization and when do I need it?▼

AI skill description optimization improves trigger descriptions so relevant user requests activate the right skill reliably, needed when your authored skill fails to trigger properly during evaluation.

Can I create benchmarking test cases to measure my AI workflow performance?▼

Yes, you can create evaluation prompts and test cases to measure AI workflow performance, supporting comparative evaluation and benchmark analysis to guide iterative improvements based on results.

What is the best way to refine AI skill instructions iteratively?▼

The best way to refine AI skill instructions iteratively is to apply structured testing workflows, evaluate benchmark results, and adjust trigger descriptions and definitions to improve performance.

Do I need supporting scripts to optimize Claude skills?▼

Yes, optimizing Claude skills requires supporting scripts and evaluation workflows to measure performance, alongside skill definition files to structure the design and iterative refinement processes.

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