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skill-creator

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

Updated Feb 28, 2026
Search Tags:#skill development#testing#prompt engineering#optimization#evaluation#ai agent
One-click install
npx skills add https://github.com/acd19ml/Knowledge-Markdown --skill skill-creator-acd19ml
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/acd19ml/Knowledge-Markdown/tree/main/Skills/skill-creator
Command: npx skills add https://github.com/acd19ml/Knowledge-Markdown --skill skill-creator-acd19ml

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 and improving AI skills, from initial concept to performance measurement, making AI development accessible and efficient.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, interviewing for details, and writing the SKILL.md file.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of skills based on user feedback and performance metrics.
  • Performance Benchmarking: Runs baseline and skill-enabled tests to quantitatively measure improvements.
  • Description Optimization: Automatically refines the skill's description for better triggering accuracy.
  • Use Case: You have an idea for a new AI capability. Use this Skill to draft the skill, test it with example prompts, analyze the results, and iterate until it performs perfectly.

Quick Start

Use the skill creator to help me build a new skill that can summarize 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 test AI agent skills end-to-end?▼

To build and test AI agent skills, this tool facilitates the end-to-end lifecycle by guiding intent definition, writing the SKILL.md file, running baseline tests, and iteratively refining based on performance metrics.

What is automated benchmarking for AI skill development?▼

Automated benchmarking for AI skill development is the process of running baseline and skill-enabled tests to quantitatively measure performance improvements and guide iterative optimization.

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

You can optimize AI skill descriptions for better triggering by using automated description tuning features that refine the text for accuracy, ensuring the AI agent activates the correct capability.

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

You need a foundational understanding of skill anatomy, progressive disclosure, and evaluation methodologies to effectively refine AI capabilities, as this tool is primarily designed for AI developers and engineers.

What is the best way to evaluate AI agent performance during development?▼

The best way to evaluate AI agent performance during development is to run baseline and skill-enabled tests, using the benchmarking results to quantitatively measure and drive iterative improvements.

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