SOLID Principles Code Review

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.

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.

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.

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.

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.

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.