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python-patterns

Apply idiomatic Python patterns like type hints, dataclasses, and context managers.

1|Updated Mar 4, 2026
Search Tags:#python#concurrency#patterns#dataclasses#typing#decorators#context-managers
One-click install
npx skills add https://github.com/yandy-r/claude-plugins --skill python-patterns-yandy-r
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/yandy-r/claude-plugins/tree/main/.cursor-plugin/skills/python-patterns
Command: npx skills add https://github.com/yandy-r/claude-plugins --skill python-patterns-yandy-r

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This guide helps developers adopt idiomatic Python patterns to improve readability, maintainability, and alignment with modern typing and design conventions.

Core Features & Use Cases

  • Readability-focused practices: explicit, clear code with modern type hints and dataclasses.
  • Best practices coverage: context managers, decorators, concurrency patterns, packaging conventions.
  • Practical guidance: examples for structuring Python packages, using Protocols, and choosing EAFP vs LBYL.

Quick Start

Refactor a small Python snippet to adopt a dataclass and a context manager.

Frequently Asked Questions about python-patterns

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

FAQPage Schema
How do I refactor Python code to use dataclasses and context managers?▼

To refactor Python code, replace standard classes with dataclasses for state management and encapsulate setup and teardown logic using context managers. This approach improves code readability and maintainability.

What is the difference between EAFP and LBYL in Python?▼

EAFP (Easier to Ask Forgiveness than Permission) uses try-except blocks, while LBYL (Look Before You Leap) uses pre-checks. Choosing EAFP improves explicitness and readability in idiomatic Python patterns.

When should I use Python Protocols instead of standard type hints?▼

Use Python Protocols when you need structural subtyping or duck typing with static analysis. Protocols define interfaces without inheritance, ensuring clear type hints and better maintainability.

What is the best way to structure a new Python package?▼

The best way to structure a Python package is by following modern packaging conventions, ensuring explicit code, clear type hints, and utilizing dataclasses to maintain a readable and maintainable codebase.

How do I choose the right concurrency pattern for my Python application?▼

Choosing a Python concurrency pattern depends on your task type: use threading for I/O-bound tasks and multiprocessing for CPU-bound tasks. This ensures explicit and maintainable code.

Can I use decorators to improve Python code readability?▼

Yes, decorators wrap functions to modify behavior without altering source code, directly improving Python code readability. They are an idiomatic pattern for separating concerns and maintaining explicit logic.

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