Can it help with performance optimization?

Absolutely. It provides specific patterns for memory efficiency using __slots__ and generators, as well as guidance on choosing between threading and multiprocessing for different workloads.

How does this skill improve my Python code?

It guides Claude to use idiomatic patterns like EAFP, proper type hinting, and efficient resource management, resulting in more readable, maintainable, and standard-compliant code.

Is it suitable for large-scale enterprise projects?

Yes, it includes best practices for standard project layouts, package organization, and exception hierarchies necessary for large-scale software engineering.

Does it support modern Python features?

Yes, it specifically includes patterns for Python 3.9+ built-in type hints, dataclasses, and advanced async/await paradigms.

Python Development Patterns

Name: Python Development Patterns
Author: xu-xiang

byxu-xiang

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Developer Tools

Implements Pythonic idioms, PEP 8 standards, and modern development best practices to build robust and maintainable Python applications.

This skill equips Claude with deep knowledge of Python development patterns, ranging from foundational PEP 8 style guidelines to advanced concurrency models. It ensures that generated code follows the 'Zen of Python,' prioritizing readability, explicit configurations, and efficient resource management. Whether you are refactoring legacy code, designing new modules with modern type hints, or optimizing I/O-bound tasks with async/await, this skill provides the architectural guardrails needed for production-grade Python software development.

Key Features

01Enforces PEP 8 standards and Pythonic idioms like EAFP (Easier to Ask Forgiveness Than Permission).

02Optimizes memory usage with __slots__ and lazy evaluation via generator functions.

03Provides templates for efficient concurrency using threading, multiprocessing, and asyncio.

0461 GitHub stars

05Standardizes resource management through custom context managers and decorators.

06Implements modern type hinting (Python 3.9+) and Protocol-based duck typing for type safety.

Use Cases

01Refactoring legacy Python scripts into clean, type-annotated, and modular applications.

02Designing high-performance data processing pipelines using generators and concurrent execution.

03Automating code reviews to ensure adherence to idiomatic Python standards and project structures.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xu-xiang/everything-claude-code-zh python-patterns

For use in Claude.ai and ChatGPT

Download Skill