Which Ruby experts are included in the review perspective?

The skill analyzes code using principles from Sandi Metz (POODR), Jeremy Evans (Sequel/DB), Kent Beck (TDD), Avdi Grimm (Confident Ruby), and Gary Bernhardt (Functional Core).

Does it provide code examples for fixes?

Yes, every identified issue includes a specific file:line reference and a concrete code example demonstrating how to implement the suggested improvement.

How does it track progress over time?

The skill includes a metrics comparison table in the output, allowing you to track the resolution of technical debt and changes in file sizes between review dates.

Can I use this for non-Ruby projects?

While some general software principles apply, this skill is specifically optimized for Ruby patterns, idioms, and libraries like Sequel.

Where does the skill store its findings?

All findings, including metrics and prioritized recommendations, are documented and updated in a dedicated docs/quality_review.md file within your repository.

Ruby Expert Quality Review

Name: Ruby Expert Quality Review
Author: codenamev

bycodenamev

•

Security & Testing

Performs comprehensive Ruby codebase audits using principles from industry legends like Sandi Metz and Kent Beck to ensure maintainability and performance.

This skill transforms Claude into an elite Ruby consultant, performing deep structural reviews of your codebase through the lenses of POODR, TDD, and functional architecture. It systematically scans your project to identify God objects, complex dependencies, and idiomatic violations, providing specific file-and-line references and actionable refactoring plans. By documenting findings in a standardized format, it helps teams track technical debt, improve testability, and align their Ruby projects with industry-standard best practices over time.

Key Features

01Multi-perspective audits based on Sandi Metz, Jeremy Evans, Kent Beck, Avdi Grimm, and Gary Bernhardt

02Longitudinal tracking of code metrics and progress between review cycles

03Detailed issue prioritization with effort estimates and concrete code improvement examples

048 GitHub stars

05Automated tracking and reporting via a standardized quality_review.md document

06Comprehensive identification of Ruby-specific anti-patterns and performance bottlenecks

Use Cases

01Preparing for a major release by identifying scaling, performance, and maintenance risks

02Standardizing code quality across a team through automated, expert-level architectural reviews

03Onboarding to a legacy Ruby codebase to identify critical technical debt and refactoring priorities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codenamev/claude_memory review-for-quality

For use in Claude.ai and ChatGPT

Download Skill