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python-design

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Clear Python design patterns for clean code.

Software Engineering#architecture#python#patterns#typing#design-patterns#software-design
Authormattstruble
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Python design patterns and idioms for writing clean, well-structured Python code. Use this skill when writing or reviewing Python code, designing Python APIs, or refactoring Python modules. It also covers choosing between Python-specific abstractions (Protocol vs ABC, TypedDict vs dataclass, Enum vs string), and when to use advanced typing patterns.

Core Features & Use Cases

  • Guidance on data containers and interface contracts (Protocol, ABC, Mixin).
  • Selection of appropriate data representations (frozen dataclass, TypedDict, Enum, NamedTuple).
  • Practical module hygiene, error handling, and composition guidance with actionable patterns.

Quick Start

Analyze a small Python module and outline the recommended design choices for its domain model.

Dependency Matrix

Required Modules

None required

Components

references

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Name: python-design
Download link: https://github.com/mattstruble/skills/archive/main.zip#python-design

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