Does this skill include patterns for unit testing?

Yes, it provides detailed patterns for Pytest, including the use of fixtures, asynchronous testing, and sophisticated mocking techniques.

How does this differ from the base language-patterns skill?

This skill extends the base patterns. While the base skill handles universal principles like naming, this skill provides the specific Python implementation of those concepts.

Can I use this for Data Science or Jupyter Notebooks?

While some patterns apply, this skill is specifically optimized for software engineering and application development. Data science often follows different conventions for notebooks.

Which Python versions are supported by this skill?

This skill targets modern Python 3.10 and above, utilizing syntax features like the union type operator (X | Y) and structural pattern matching.

Python Best Practices & Patterns

Name: Python Best Practices & Patterns
Author: Zate

byZate

0•

API Development

Implements idiomatic Python 3.10+ patterns for modern, type-safe, and highly maintainable application development.

The python-patterns skill provides Claude with a comprehensive framework for writing high-quality Python code using modern 3.10+ standards. It covers everything from structural typing with Protocols and advanced type hinting to robust data modeling via Pydantic and Dataclasses. By applying this skill, developers can ensure their codebases utilize efficient asynchronous patterns, standardized error handling, and sophisticated testing strategies with Pytest. It is specifically designed for software engineers building scalable backends, APIs, and CLI tools who want to move beyond basic scripts and into production-grade Python architecture.

Key Features

01Modern Python 3.10+ syntax and type hinting (including | union operators)

02Advanced data validation patterns using Pydantic V2 and Dataclasses

03Standardized Pytest implementation including fixtures, mocking, and parametrization

04Structural pattern matching and idiomatic common expressions (Walrus operator, etc.)

050 GitHub stars

06Asynchronous I/O patterns including concurrent execution and async context managers

Use Cases

01Refactoring legacy Python code to modern, type-safe standards

02Implementing complex asynchronous workflows for high-performance I/O tasks

03Designing robust backend architectures with strict data validation requirements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zate/cc-plugins python-patterns

For use in Claude.ai and ChatGPT