Does it support all programming languages?

Yes, it leverages Claude's broad language understanding to analyze patterns, complexity, and maintainability across most major programming languages.

Can I use this on specific files or just whole branches?

You can pass specific file paths as arguments to audit individual files, or run it without arguments to analyze the git diff between your branch and the main branch.

How is this different from a standard linter?

While linters catch syntax and formatting errors, this skill focuses on higher-level architectural health, logical redundancy, and structural complexity.

What are DRY violations?

DRY stands for 'Don't Repeat Yourself.' The skill flags instances where similar logic is implemented in multiple places, suggesting opportunities for consolidation.

How does this skill help with technical debt?

It automatically identifies common code smells like logic duplication, unused variables, and overly complex logic that lead to long-term maintenance issues.

Code Maintainability Audit

Name: Code Maintainability Audit
Author: doodledood

bydoodledood

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协作工具

Audits codebases for DRY violations, dead code, and complexity to ensure long-term software health and consistency.

关于

The Review Maintainability skill automates the detection of technical debt by performing deep architectural audits of your codebase. It identifies 'Don't Repeat Yourself' (DRY) violations, flags unreachable or dead code, and pinpoints areas of high cyclomatic complexity that could hinder future development. By integrating into git workflows to analyze diffs between branches, it serves as an intelligent peer reviewer that helps developers maintain a clean, efficient, and standardized repository.

主要功能

Analyzes cyclomatic complexity to pinpoint hard-to-maintain sections
8 GitHub stars
Evaluates code consistency against project-wide patterns
Automated git diff analysis for focused pull request reviews
Detects DRY (Don't Repeat Yourself) violations and logic duplication
Identifies dead code and unused variables or functions

使用场景

Refactoring legacy codebases to identify and simplify high-complexity hotspots
Onboarding onto new repositories to quickly assess architectural health
Pre-merge checks to prevent technical debt from entering the main branch

关于

主要功能

Analyzes cyclomatic complexity to pinpoint hard-to-maintain sections
8 GitHub stars
Evaluates code consistency against project-wide patterns
Automated git diff analysis for focused pull request reviews
Detects DRY (Don't Repeat Yourself) violations and logic duplication
Identifies dead code and unused variables or functions

使用场景

Refactoring legacy codebases to identify and simplify high-complexity hotspots
Onboarding onto new repositories to quickly assess architectural health
Pre-merge checks to prevent technical debt from entering the main branch