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create-skill

Create, test, and refine AI skills using SKILL.md structure.

Updated Jun 20, 2026
Search Tags:#skill creation#AI development#evaluation#performance measurement#iteration testing
One-click install
npx skills add https://github.com/pathtoresiliencebv/warp-customized --skill create-skill-pathtoresiliencebv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-skill
Source: https://github.com/pathtoresiliencebv/warp-customized/tree/main/resources/bundled/skills/create-skill
Command: npx skills add https://github.com/pathtoresiliencebv/warp-customized --skill create-skill-pathtoresiliencebv

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users create new skills, edit existing ones, and measure performance through iterative testing and evaluation.

Core Features & Use Cases

  • Skill Creation: Develop new skills from scratch or modify existing ones.
  • Evaluation: Run tests and benchmark skills to measure performance.
  • Optimization: Refine skills based on feedback and evaluation results.
  • Use Case: A user wants to create a skill for data analysis. They use this Skill to draft the skill, run tests, and optimize the skill based on feedback until it meets their needs.

Quick Start

Create a new skill to analyze data from CSV files. Define the expected output format and run test cases to evaluate the skill's performance.

Frequently Asked Questions about create-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build and test AI skills with iterative development?▼

You build and test AI skills by using a framework that supports iterative development, allowing you to draft skills, run automated tests, and refine them based on evaluation feedback. This ensures your skill meets performance requirements.

What is the best way to measure AI skill performance during creation?▼

The best way to measure AI skill performance is by running test cases and benchmarks to evaluate outputs against expected formats. This evaluation framework provides measurable feedback for optimization.

Do I need to know SKILL.md structure to create and edit skills?▼

Yes, you need knowledge of the SKILL.md structure to create and edit skills. Proficiency in AI agent interaction is also required to effectively design, test, and improve your skill framework.

Can I optimize an existing AI skill instead of starting from scratch?▼

Yes, you can optimize an existing AI skill instead of starting from scratch. The framework allows you to modify existing skills, run evaluation tests, and refine them based on benchmark feedback.

How does iterative testing work when refining AI development skills?▼

Iterative testing works by running automated tests and human reviews on your AI development skill, then using the evaluation results to make targeted refinements. This cycle repeats until the skill performs optimally.

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