What version of Python does this skill support?

The skill is optimized for modern Python 3.10+ development, utilizing the latest syntax for type hints and generics.

Does this skill help with data validation?

Yes, it provides specific patterns for choosing between Dataclasses, attrs, and Pydantic based on whether you need simple containers or complex validation.

How does it handle file system operations?

It enforces the use of Pathlib for object-oriented, cross-platform path handling instead of older string concatenation methods.

Is Google Style documentation supported?

Yes, the skill includes templates and rules for Google-style docstrings to ensure clear documentation of arguments, returns, and raises.

Python Best Practices

Name: Python Best Practices
Author: cuioss

bycuioss

開発者ツール

Enforces modern Python development standards and PEP 8 patterns for clean, maintainable code.

概要

This skill provides Claude Code with a comprehensive guide to modern Python development (3.10+), covering everything from type hints and async patterns to error handling and path manipulation. By integrating PEP 8 and the Google Python Style Guide, it ensures that AI-generated code is not only functional but also adheres to industry-standard readability, performance benchmarks, and type safety requirements.

主な機能

Modern type hint integration using Python 3.10+ syntax
Optimized data structure selection for Dataclasses and Pydantic
Cross-platform Pathlib implementation for file operations
Advanced async/await concurrency and semaphore patterns
Standardized error handling and resource management patterns
0 GitHub stars

ユースケース

Establishing consistent naming conventions and Google-style docstrings
Modernizing legacy Python codebases to comply with 3.10+ standards
Implementing type-safe API boundaries and data serialization

概要

主な機能

Modern type hint integration using Python 3.10+ syntax
Optimized data structure selection for Dataclasses and Pydantic
Cross-platform Pathlib implementation for file operations
Advanced async/await concurrency and semaphore patterns
Standardized error handling and resource management patterns
0 GitHub stars

ユースケース

Establishing consistent naming conventions and Google-style docstrings
Modernizing legacy Python codebases to comply with 3.10+ standards
Implementing type-safe API boundaries and data serialization