Does it include security recommendations?

Absolutely. It includes patterns for using the secrets module for tokens, parameterized queries for SQL, and defusedxml for safe XML parsing.

Can it help with Python dependency management?

Yes, it provides patterns for modern packaging using pyproject.toml and tools like uv or poetry for efficient dependency resolution.

Which testing framework does this skill recommend?

It prioritizes pytest over the standard unittest library, emphasizing the use of fixtures, parameterization, and conftest.py for cleaner test suites.

Does this skill support the latest Python versions?

Yes, it specifically promotes modern Python 3.10+ features such as the union type operator (|) and Python 3.11+ TaskGroups for concurrency.

How does the Python Patterns skill activate?

The skill is auto-activated by Claude whenever you are working with files ending in the .py extension.

Modern Python Patterns

Name: Modern Python Patterns
Author: eroslifestyle

byeroslifestyle

0•

Developer Tools

Enforces modern Python idioms and best practices for clean, type-safe, and performant code signatures and structures.

Modern Python Patterns is a specialized capability for Claude that automates the application of industry-standard best practices to your Python projects. It provides domain-specific guidance on PEP 8 formatting, Python 3.10+ type hinting, and asynchronous programming with asyncio. By integrating advanced architectural patterns like Repository and Dependency Injection, this skill ensures your codebase remains scalable, secure, and maintainable while helping you avoid common pitfalls like mutable default arguments or late-binding closures.

Key Features

010 GitHub stars

02Standardized testing workflows using pytest fixtures and parameterization

03Strict PEP 8 compliance and Black/isort formatting standards

04Best-practice implementation of Pydantic models and Python dataclasses

05Modern type hinting enforcement including Protocol and X | None syntax

06Comprehensive async patterns using structured concurrency and TaskGroups

Use Cases

01Modernizing legacy Python codebases to leverage 3.10+ syntax and features

02Implementing robust error handling and custom exception hierarchies in microservices

03Setting up production-ready project structures with pyproject.toml and src layouts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eroslifestyle/claude-orchestrator-plugin python-patterns

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Standardized testing workflows using pytest fixtures and parameterization

03Strict PEP 8 compliance and Black/isort formatting standards

04Best-practice implementation of Pydantic models and Python dataclasses

05Modern type hinting enforcement including Protocol and X | None syntax

06Comprehensive async patterns using structured concurrency and TaskGroups

Use Cases

01Modernizing legacy Python codebases to leverage 3.10+ syntax and features

02Implementing robust error handling and custom exception hierarchies in microservices

03Setting up production-ready project structures with pyproject.toml and src layouts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eroslifestyle/claude-orchestrator-plugin python-patterns

For use in Claude.ai and ChatGPT