What is the Consistency Review skill?

It is a specialized capability for Claude Code that audits code for naming, style, and pattern consistency within a repository to ensure high maintainability.

How does the consistency scoring work?

It uses a weighted average across four categories: Naming (30%), Style (25%), Patterns (25%), and Documentation (20%) to produce a score from 0 to 10.

When should I use this skill?

It is best used during the verification phase of a task, before marking a project as complete, or before merging code to ensure it meets project-specific standards.

Can it handle different programming languages?

While it provides specific examples for JavaScript and TypeScript, the principles of naming, style, and pattern consistency can be applied to any language.

Does it support custom project standards?

Yes, it is designed to check for adherence to specific project conventions defined in files like CLAUDE.md and existing codebase patterns.

Consistency Review

Name: Consistency Review
Author: mnthe

bymnthe

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Collaboration Tools

Validates codebase uniformity by enforcing naming conventions, style standards, and architectural patterns during the project verification phase.

About

The Consistency Review skill is a specialized tool designed for the 'ultrawork' workflow in Claude Code, ensuring that all code contributions adhere to established project standards. It systematically audits naming conventions, formatting, import structures, and error-handling patterns to maintain a high-quality, maintainable codebase. By scoring code against project-specific criteria defined in documentation like CLAUDE.md, it helps developers and automated agents identify deviations before final approval, making it indispensable for teams where multiple AI workers or human contributors are collaborating on the same repository.

Key Features

Automated naming convention auditing for variables, functions, and files
Quantitative consistency scoring to track codebase health and quality
Pattern adherence checks for error handling, async logic, and testing
Code style and formatting validation integrated with Prettier and ESLint
2 GitHub stars
Project-specific standard validation against CLAUDE.md guidelines

Use Cases

Standardizing legacy code by identifying naming and pattern inconsistencies across directories
Verifying task completion for multiple AI workers to ensure a unified coding style
Performing a final audit of a feature branch before merging into the main codebase

About

Key Features

Automated naming convention auditing for variables, functions, and files
Quantitative consistency scoring to track codebase health and quality
Pattern adherence checks for error handling, async logic, and testing
Code style and formatting validation integrated with Prettier and ESLint
2 GitHub stars
Project-specific standard validation against CLAUDE.md guidelines

Use Cases

Standardizing legacy code by identifying naming and pattern inconsistencies across directories
Verifying task completion for multiple AI workers to ensure a unified coding style
Performing a final audit of a feature branch before merging into the main codebase