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skill-improve

Manage a test-fix-retest loop for AI skills with static checks.

Updated Jul 4, 2026
Search Tags:#test automation#skill refinement#code optimization#AI enhancement#AI skill improvement
One-click install
npx skills add https://github.com/nguyennd93/game_server_studio --skill skill-improve-nguyennd93
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-improve
Source: https://github.com/nguyennd93/game_server_studio/tree/main/.claude/skills/skill-improve
Command: npx skills add https://github.com/nguyennd93/game_server_studio --skill skill-improve-nguyennd93

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The 'skill-improve' Skill addresses the challenge of maintaining and enhancing the effectiveness of AI skills by providing a systematic approach to testing, fixing, and retesting them.

Core Features & Use Cases

  • Test-Fix-Retest Loop: Automates the process of testing a skill for baseline scores, applying targeted fixes, and retesting to ensure improvements.
  • Static and Category Testing: Performs both static checks and category-specific checks to ensure all aspects of the skill are functioning correctly.
  • Skill File Improvement: Proposes and applies changes to the skill file to enhance its performance and compliance with quality standards.

Quick Start

To improve a skill, run the command: /skill-improve [skill-name]

Frequently Asked Questions about skill-improve

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

FAQPage Schema
How do I automate AI skill refinement with a test-fix-retest cycle?▼

AI skill refinement is automated by running static checks, proposing targeted fixes, rewriting the skill file, and retesting to decide whether to keep or revert changes based on score improvement.

What is the best way to apply code optimization to an existing AI skill?▼

Code optimization for an AI skill is applied through a structured process that performs static and category-specific testing, proposes targeted fixes, and rewrites the skill file to enhance performance and quality compliance.

How do I test AI skill performance to ensure changes actually improve the score?▼

Testing AI skill performance involves establishing a baseline score, applying proposed fixes, and retesting the skill to verify score improvement before deciding whether to keep or revert the modifications.

Do I need any external dependencies to run test automation for skill improvement?▼

No external dependencies are required to run test automation for skill improvement, as the skill operates independently using its internal scripts to manage the structured test-fix-retest process.

Why does my AI skill revert changes after retesting?▼

An AI skill reverts changes after retesting when the applied modifications do not result in a measurable score improvement compared to the baseline established during the initial static and category checks.

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