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ai-code-quality

Assess semantic code quality across multi-file projects and generate health scores.

Updated Jan 16, 2026
Search Tags:#code quality#architecture#maintainability#complexity#duplication#analyze
One-click install
npx skills add https://github.com/adiomas/claude-code-adiomas-plugins --skill ai-code-quality
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-code-quality
Source: https://github.com/adiomas/claude-code-adiomas-plugins/tree/main/autonomous-dev/skills/ai-code-quality
Command: npx skills add https://github.com/adiomas/claude-code-adiomas-plugins --skill ai-code-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI Code Quality Score helps teams evaluate the semantic quality of code beyond syntax and linting, focusing on maintainability, complexity, architecture compliance, and overall health using AI-based analysis.

Core Features & Use Cases

  • Semantic quality assessment: Evaluates maintainability, complexity, architecture patterns, and duplication to provide a holistic health score.
  • Phase-integrated reviews: Automatically runs during review phases or on demand when users request "review code quality", "analyze maintainability", or "check complexity".
  • Actionable insights: Produces a structured health score and practical recommendations to improve code quality across repositories.

Quick Start

Use ai-code-quality on your current codebase to generate a semantic quality report for the latest changes.

Frequently Asked Questions about ai-code-quality

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

FAQPage Schema
What is semantic code quality analysis and how does it differ from linting?▼

Semantic code quality analysis evaluates maintainability, complexity, architecture compliance, and duplication beyond syntax linting. It uses AI to assess multi-file projects holistically, producing a structured health score rather than just surface-level style violations.

How do I analyze code maintainability and complexity across multiple files?▼

To analyze code maintainability and complexity, trigger a code quality review on your multi-file project. The automated assessment evaluates architecture compliance and duplication, generating targeted recommendations and a structured health score.

Can I check architecture compliance and duplication for different programming languages?▼

Yes, you can check architecture compliance and duplication across multi-file projects spanning different languages. The semantic quality assessment applies broadly to evaluate maintainability and complexity regardless of the specific programming language.

What's the best way to integrate automated code health scoring into development workflows?▼

The best way to integrate automated code health scoring is to run semantic quality assessments during review phases or on demand. This produces actionable insights and a structured health score that naturally fits into existing development workflows.

When should I request a semantic code health review during the development cycle?▼

You should request a semantic code health review after implementation phases or when checking maintainability and complexity. Running the assessment during code reviews ensures architecture compliance and duplication issues are caught before merging changes.

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