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LuminairPrime
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skill-creator

Create, test, and optimize AI skills with performance evaluation.

Updated May 16, 2026
Search Tags:#skill development#code review#skill optimization#ai skill#skill evaluation
One-click install
npx skills add https://github.com/LuminairPrime/skill-tree-chopper --skill skill-creator-luminairprime
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/LuminairPrime/skill-tree-chopper/tree/main/vendors/s-hiraokuvscode-sidebar-terminal/.agents/skills/skill-creator
Command: npx skills add https://github.com/LuminairPrime/skill-tree-chopper --skill skill-creator-luminairprime

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill aids in creating, modifying, and evaluating AI skills, optimizing their performance and triggering accuracy.

Core Features & Use Cases

  • Skill Creation: Build and iterate on new AI skills.
  • Skill Evaluation: Run tests, gather feedback, and improve skill performance.
  • Description Optimization: Refine skill descriptions for better triggering accuracy.
  • Use Case: Suppose you want to develop an AI skill that assists with code reviews. Use this Skill to draft the skill, test it with various code snippets, get feedback, and refine the skill's description and implementation.

Quick Start

Use the skill-creator skill to draft a new skill for code review assistance.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create an AI skill for code review assistance?▼

To create an AI skill for code review, draft the skill, test it with various code snippets, gather feedback, and iteratively refine its implementation to handle the target use cases effectively.

What is the best way to optimize AI skill descriptions for accurate triggering?▼

Optimizing AI skill descriptions involves iteratively refining the text to improve triggering accuracy, ensuring the skill activates correctly by measuring performance and adjusting the description based on test feedback.

How does skill evaluation work during AI development?▼

Skill evaluation works by running tests against the AI skill, gathering performance feedback, and using those metrics to iteratively improve the skill's operation and execution accuracy.

Can I use this for modifying and testing existing AI skills?▼

Yes, you can use this to modify and test existing AI skills. It supports iterative improvement and performance measurement, allowing you to refine skill architecture and operation for various use cases.

When do I need to refine AI skill architecture?▼

You need to refine AI skill architecture when performance measurement indicates poor operation, requiring iterative improvement and description optimization to ensure the skill handles its designated tasks effectively.

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