Does this skill prefer Pydantic or Dataclasses?

It provides specific guidelines: use Dataclasses for internal domain models and value objects, and Pydantic for external data validation, API boundaries, and configuration.

What linting and formatting tools are recommended?

The skill prioritizes Ruff for its extreme speed and ability to replace multiple tools like black, isort, and flake8 within a single configuration.

How does it handle dependency management?

It advocates for strict use of virtual environments and suggests 'uv' for high-performance dependency installation and lockfile management.

What version of Python does this skill support?

This skill focuses on modern Python, specifically optimizing for features introduced in versions 3.9 through 3.12+.

Can it help with asynchronous programming?

Yes, it includes patterns for non-blocking I/O using httpx, concurrent task execution with asyncio.gather, and rate limiting using semaphores.

Python Best Practices

Name: Python Best Practices
Author: rohitg00

byrohitg00

•

604

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개발자 도구

Enforces modern Pythonic standards including Type Hints 3.12+, async patterns, and optimized project structures.

This skill equips Claude with the knowledge to write high-quality, modern Python code using the latest industry standards. It covers everything from Python 3.12 type parameter syntax and structured data handling with Pydantic and Dataclasses to advanced asynchronous patterns using httpx. By integrating this skill, users ensure their Python projects follow a consistent 'src' layout, utilize efficient tooling like Ruff and uv, and maintain robust testing suites with pytest, resulting in highly maintainable, performant, and type-safe codebases.

주요 기능

01Establishes comprehensive testing patterns with pytest fixtures and mocks

02604 GitHub stars

03Implements modern Type Hints using Python 3.12+ syntax and PEP 695

04Provides production-ready Asynchronous patterns with httpx and asyncio semaphores

05Configures streamlined project environments using pyproject.toml and Ruff

06Standardizes data modeling using Dataclasses for internal logic and Pydantic for validation

사용 사례

01Implementing high-performance asynchronous API clients and concurrent processing

02Refactoring legacy Python code to use modern 3.12+ type hints and syntax

03Setting up new production-ready Python projects with standardized structure and linting

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rohitg00/awesome-claude-code-toolkit python-best-practices

For use in Claude.ai and ChatGPT

Download Skill