SOLID Principles Code Review

Identify SOLID principle violations in Python code and provide refactoring recommendations.

7|1|Updated Oct 19, 2025

Search Tags:#architecture #code review #refactoring #python #design-patterns #solids

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npx skills add https://github.com/jack-michaud/faire --skill solid-principles-code-review

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Please help me install this Agent Skill.
Skill: SOLID Principles Code Review
Source: https://github.com/jack-michaud/faire/tree/main/jack-software/skills/code-review/solid-principles-review
Command: npx skills add https://github.com/jack-michaud/faire --skill solid-principles-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill evaluates Python code against the five SOLID principles (SRP, OCP, LSP, ISP, DIP) to help developers produce maintainable, testable, and extensible designs.

Core Features & Use Cases

Detect violations of SRP, separating responsibilities into dedicated components
Identify OCP violations such as type-based conditionals that require modification for new shapes
Flag LSP risks where substitutability might be broken
Highlight ISP and DIP concerns and suggest modular, testable designs
Provide concrete refactoring guidance and example patterns

Quick Start

Run the skill on a Python module to locate SOLID violations and receive actionable refactoring guidance.

Frequently Asked Questions about SOLID Principles Code Review

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

FAQPage Schema

How do I identify SOLID principle violations in Python code?▼

SOLID principle violations in Python code are detected by analyzing Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion concerns. This skill evaluates your modules against these five principles to flag design issues like mixed responsibilities, rigid type-based conditionals, broken substitutability, fat interfaces, and tight coupling, then outputs concrete refactoring recommendations.

Can I use SOLID analysis during code review to improve maintainability?▼

Yes. Apply SOLID analysis during Python code reviews to assess design quality before merge. The skill produces a dense summary enumerating violations, affected modules, and impact on maintainability and testability, enabling reviewers to catch architectural problems early and guide developers toward extensible, testable designs.

What does the skill output after analyzing Python code for SOLID issues?▼

The skill generates a vectorizable summary that enumerates SOLID violations, identifies affected modules, quantifies impact on maintainability and testability, and provides concrete refactoring recommendations and example patterns to resolve each violation.

How do I refactor code that violates the Open/Closed Principle?▼

Open/Closed violations occur when code requires modification to handle new cases, often through type-based conditionals. The skill flags these patterns and recommends refactoring strategies such as polymorphism, strategy patterns, or abstraction layers that allow extension without modifying existing code.

Does this work for feature reviews and pre-merge checks in Python projects?▼

Yes. The skill is designed for feature reviews, refactors, and pre-merge checks in Python codebases. It integrates into code review workflows to systematically assess SOLID compliance across scenarios where design decisions have long-term maintainability implications.

What's the difference between ISP and DIP violations in practice?▼

Interface Segregation violations occur when clients depend on interfaces larger than needed; Dependency Inversion violations occur when high-level modules depend directly on low-level implementations. The skill highlights both, recommending smaller, focused interfaces and abstraction layers to decouple components and improve testability.