Does it support modern Python features?

Yes, the skill emphasizes modern Python practices including Type Hinting, Protocols, and async/await patterns.

Why choose composition over inheritance?

Composition offers greater flexibility and less rigid coupling, making systems easier to modify and extend without the baggage of deep class hierarchies.

What is the 'Rule of Three' mentioned in this skill?

It is a guideline suggesting you should wait until you have three similar instances of code before attempting to create an abstraction to avoid premature complexity.

How does this skill help with Python refactoring?

It provides structural patterns and guidelines like the Rule of Three to identify when and how to extract logic into reusable, focused components.

Can this skill help with unit testing?

Yes, by teaching dependency injection and composition over inheritance, it makes your code significantly easier to mock and test.

Python Design Patterns & Architecture

Name: Python Design Patterns & Architecture
Author: gwickman

bygwickman

0•

API Development

Implements maintainable Python code architectures using fundamental design principles like KISS, SRP, and composition.

Python Design Patterns is a specialized Claude Code skill designed to guide developers through the creation of scalable and testable Python applications. It provides expert guidance on applying core software engineering principles such as Keep It Simple (KISS), the Single Responsibility Principle (SRP), and the Rule of Three for abstraction. By offering concrete implementation patterns for separation of concerns and dependency injection, this skill helps developers avoid common anti-patterns and reduce technical debt during both initial system design and complex refactoring phases.

Key Features

01Architectural pattern implementation (KISS, SRP, SoC)

02Anti-pattern detection and resolution

03Refactoring guidance for complex inheritance hierarchies

040 GitHub stars

05Modular service and repository layer design

06Dependency injection for enhanced testability

Use Cases

01Evaluating whether a new abstraction is necessary using the Rule of Three

02Implementing testable code using dependency injection and Python protocols

03Refactoring a monolithic script into a modular service-oriented architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gwickman/auto-dev-test-target-1 python-design-patterns

For use in Claude.ai and ChatGPT

Download Skill