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skill-creator

Create, test, and optimize AI skills with SKILL.md workflows.

Updated Feb 26, 2026
Search Tags:#prompt engineering#optimization#skill creation#evaluation#ai skill development#llm workflow
One-click install
npx skills add https://github.com/nicanac/gh-sync --skill skill-creator-nicanac
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/nicanac/gh-sync/tree/main/golden-source/.agents/skills/skill-creator
Command: npx skills add https://github.com/nicanac/gh-sync --skill skill-creator-nicanac

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 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: Enhances skill triggering accuracy by automatically testing and optimizing the description field.
  • 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 optimize its description so Claude uses it effectively.

Quick Start

Use the skill-creator to help me build a new skill that can summarize meeting notes.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I build an AI skill from scratch using prompt engineering?▼

To build an AI skill, you define its intent, write the SKILL.md file, and structure its resources. This process guides you from initial concept to optimized deployment, ensuring accessible skill development even for new developers.

What is the best way to optimize a skill description for better triggering accuracy?▼

The best way to optimize a skill description is through automated testing and performance benchmarking. This tool automatically tests and refines the description field to enhance discoverability and triggering accuracy.

How do I test and evaluate LLM workflows during AI skill development?▼

You test LLM workflows by running iterative evaluations with sample prompts and analyzing performance metrics. This skill facilitates automated testing and benchmarking to refine your AI skill based on feedback.

Does AI skill development require the Anthropic dependency?▼

Yes, this AI skill development tool requires the Anthropic dependency. It is designed to support structured workflows for skill writing, testing, and refinement specifically within the Anthropic ecosystem.

Can I use this for iterative improvement of an existing AI skill?▼

Yes, you can use it for iterative improvement of existing AI skills. It facilitates testing, evaluation, and refinement based on performance metrics and user feedback to continuously enhance your skill's performance.

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