Does it help with package distribution?

Yes, it includes guidance on module organization and adding the py.typed marker, which is essential for distributing libraries with type information.

Is it compatible with older Python versions?

The skill focuses on modern Python (3.10+), utilizing features like PEP 604 union types and the latest Ruff and Mypy configurations.

Can it detect runtime bugs?

While primarily focused on static analysis, it identifies common anti-patterns like bare except blocks and mutable default arguments that often cause runtime issues.

How does this skill improve Python code?

It provides Claude with specific configurations for Ruff and Mypy, plus patterns for type hints and idiomatic Python to ensure your code is clean and error-free.

Python Code Quality & Best Practices

Name: Python Code Quality & Best Practices
Author: wdm0006

bywdm0006

Developer Tools

Improves Python library code quality using modern linting, strict type checking, and standardized coding patterns.

About

This skill enhances Claude's ability to maintain high-quality Python codebases by integrating industry-standard tools like Ruff and Mypy. It provides structured guidance on implementing type hints, avoiding common anti-patterns such as mutable default arguments, and adopting Pythonic idioms for cleaner code. Ideal for library maintainers and application developers, it ensures projects follow professional standards for performance, readability, and static analysis compatibility, while also providing blueprints for proper module organization and packaging.

Key Features

Strict Mypy type-checking setup and pattern guidance
Standardized project module organization and packaging
Implementation of modern Pythonic idioms and syntax
Detection and correction of common Python anti-patterns
Automated Ruff configuration and linting workflows
0 GitHub stars

Use Cases

Refactoring legacy Python code to meet modern PEP 8 and typing standards
Setting up static analysis tools for new Python library projects
Conducting deep code reviews to identify subtle bugs and performance issues

About

Key Features

Strict Mypy type-checking setup and pattern guidance
Standardized project module organization and packaging
Implementation of modern Pythonic idioms and syntax
Detection and correction of common Python anti-patterns
Automated Ruff configuration and linting workflows
0 GitHub stars

Use Cases

Refactoring legacy Python code to meet modern PEP 8 and typing standards
Setting up static analysis tools for new Python library projects
Conducting deep code reviews to identify subtle bugs and performance issues