Does this skill help with code reviews?

Yes, it automates the identification of design flaws and anti-patterns, making the code review process more efficient and thorough.

Does it support modern programming principles?

Yes, it evaluates code against industry standards such as SOLID, DRY, and KISS to ensure long-term maintainability.

What is the Review Code Design skill?

It is a specialized capability for Claude Code that focuses on analyzing software architecture, design patterns, and structural integrity to improve code quality.

Can it analyze specific data structures like queues?

Absolutely. It is designed to understand complex implementations, including file-based FIFO queues and other persistent data systems.

Code Design Reviewer

Name: Code Design Reviewer
Author: nihiyama

bynihiyama

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Collaboration Tools

Evaluates software architecture and implementation patterns to ensure high-quality, maintainable, and scalable code structures.

About

The Review Code Design skill provides Claude with the specialized knowledge required to perform deep architectural audits and structural analysis of your codebase. It excels at identifying design anti-patterns, assessing the implementation of SOLID principles, and ensuring that complex systems—such as file-based queues or data persistence layers—are built with modularity and efficiency in mind. This skill is particularly useful during the planning and refactoring phases of development, helping teams maintain a consistent technical vision and avoid architectural debt.

Key Features

Comprehensive architectural pattern analysis
Identification of structural bottlenecks and anti-patterns
Modular integrity and dependency evaluation
Best practice guidance for file-based system design
Adherence checks for SOLID and DRY principles
2 GitHub stars

Use Cases

Performing architectural audits before merging major structural changes.
Evaluating the design of custom data structures and persistence mechanisms.
Refactoring legacy code to improve maintainability and scalability.

About

Key Features

Comprehensive architectural pattern analysis
Identification of structural bottlenecks and anti-patterns
Modular integrity and dependency evaluation
Best practice guidance for file-based system design
Adherence checks for SOLID and DRY principles
2 GitHub stars

Use Cases

Performing architectural audits before merging major structural changes.
Evaluating the design of custom data structures and persistence mechanisms.
Refactoring legacy code to improve maintainability and scalability.