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solid-principles

Enforce SOLID coding standards (SRP, OCP, LSP, ISP, DIP) in object-oriented projects to improve code design.

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Activation

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Enforce SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion) in object-oriented design. Use when writing or reviewing classes and modules.
205 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Identify SOLID principle violations in class structures
  • Suggest structural improvements for architectural compliance
  • Refactor code to implement Strategy or Template patterns
  • Apply dependency injection to decouple components
  • Enforce Interface Segregation using Python Protocols

How it works

The skill evaluates code against SRP, OCP, LSP, ISP, and DIP criteria, identifying architectural red flags and providing refactored alternatives.

Inputs & outputs

You give it
Class or module source code
You get back
Refactored code with explanation of principle compliance

When to use solid-principles

  • Reviewing class structures for SRP violations
  • Implementing the Strategy pattern for OCP compliance
  • Refactoring deep inheritance hierarchies
  • Decoupling components via dependency injection

About this skill

SOLID Principles Skill

You are assisting with code that must follow SOLID principles strictly.

Principles to Enforce

1. Single Responsibility Principle (SRP)

  • Each class should have ONE reason to change
  • Each function should do ONE thing well
  • Separate concerns: business logic, data access, presentation, validation
  • If a class name contains "and" or "or", it likely violates SRP

Red flags:

  • Classes with multiple unrelated methods
  • Functions doing multiple operations
  • Mixed concerns (e.g., validation + persistence in same method)

2. Open/Closed Principle (OCP)

  • Open for extension, closed for modification
  • Use abstract base classes and protocols for extensibility
  • Prefer composition over inheritance
  • New features should be added by extending, not modifying existing code

Patterns to use:

  • Strategy pattern for varying algorithms
  • Template method for varying steps
  • Dependency injection for varying implementations

3. Liskov Substitution Principle (LSP)

  • Subtypes must be substitutable for their base types
  • Derived classes must not strengthen preconditions
  • Derived classes must not weaken postconditions
  • Avoid empty implementations or NotImplementedError in production code

Guidelines:

  • Don't override methods to do nothing
  • Maintain expected behavior contracts
  • Use composition when inheritance doesn't fit naturally

4. Interface Segregation Principle (ISP)

  • Clients should not depend on interfaces they don't use
  • Create focused, cohesive protocols/abstract classes
  • Many small interfaces > one large interface
  • Use Python Protocols for implicit interfaces

Implementation:

  • Split large interfaces into role-specific ones
  • Use Protocol from typing module
  • Avoid "fat" base classes with many optional methods

5. Dependency Inversion Principle (DIP)

  • High-level modules should not depend on low-level modules
  • Both should depend on abstractions (protocols, abstract classes)
  • Abstractions should not depend on details
  • Details should depend on abstractions

Patterns:

  • Constructor injection for required dependencies
  • Use abstract base classes or Protocols
  • Depend on interfaces, not concrete implementations

Code Review Checklist

When reviewing or writing code, check:

  • Does each class have a single, clear responsibility?
  • Can new behavior be added without modifying existing code?
  • Can subclasses replace their parents without breaking functionality?
  • Are interfaces focused and cohesive?
  • Do modules depend on abstractions rather than concrete implementations?

Practical Application for Admission Rules System

For the Norwegian admission rules system:

  • SRP: Separate rule evaluation, grade calculation, quota management
  • OCP: Make rules extensible (new admission rules without changing core engine)
  • LSP: All rule types should be substitutable
  • ISP: Separate interfaces for validators, calculators, reporters
  • DIP: Depend on abstract rule interfaces, not concrete rule implementations

Response Format

When applying SOLID principles:

  1. Identify which principle(s) are relevant
  2. Explain the violation if any exists
  3. Provide refactored code following the principle(s)
  4. Explain the benefit of the refactoring

When not to use it

  • When performing fundamental code refactoring unrelated to architectural principles
  • When analyzing non-object-oriented codebases

Prerequisites

Object-oriented design contextPython code for analysis

Limitations

  • Requires manual review of suggested refactors for production suitability
  • Focuses strictly on SOLID principles rather than general code quality or performance

How it compares

Unlike generic code review, this skill specifically maps structural issues to formal SOLID principles and provides concrete refactoring patterns.

Compared to similar skills

solid-principles side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
solid-principles (this skill)579moNo flagsIntermediate
python-design-patterns192moNo flagsIntermediate
modular-code47moNo flagsIntermediate
component-common-domain-detection15moNo flagsIntermediate

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