Does it support modern Python features?

Yes, it includes guidelines for Python 3.9+ features, such as using built-in types for generics and implementing f-strings.

Is this skill based on PEP 8 or Google's Style Guide?

This skill is primarily based on Google's Python Style Guide, which builds upon PEP 8 with more specific rules for large-scale production environments.

What docstring format does this skill use?

It uses the Google Python Docstring format, providing clear sections for Args, Returns, Raises, and Attributes.

Can it help me fix existing linting errors?

Absolutely. You can use this skill to have Claude review your code and suggest specific refactors to resolve style issues or improve type safety.

Why should I use this over a standard linter?

While linters catch syntax and style errors, this skill provides contextual guidance and can actively refactor complex logic into cleaner, more idiomatic Python.

Python Style Guide

Name: Python Style Guide
Author: CodingKaiser

byCodingKaiser

Developer Tools

Enforces Google-standard Python programming practices for clean, maintainable, and type-annotated code.

About

The Python Style Guide skill equips Claude with a comprehensive framework based on Google's Python Style Guide to ensure high-quality code generation and review. It provides specific constraints for naming conventions, import structures, exception handling, and modern type annotations, making it an essential tool for maintaining professional-grade codebases. By prioritizing consistency and readability, this skill helps developers avoid common antipatterns while promoting the use of robust features like context managers, f-strings, and Google-style docstrings.

Key Features

0 GitHub stars
Mandatory type annotation patterns for improved code clarity
Google-standard naming conventions and formatting rules
Strict guidelines for import grouping and exception handling
Standardized Google-style docstring templates for all components
Best practices for Pythonic constructs like comprehensions and context managers

Use Cases

Refactoring existing Python scripts to meet industry-standard style requirements
Generating high-quality documentation and docstrings for public APIs
Enforcing consistent type hinting across large-scale software projects

About

Key Features

0 GitHub stars
Mandatory type annotation patterns for improved code clarity
Google-standard naming conventions and formatting rules
Strict guidelines for import grouping and exception handling
Standardized Google-style docstring templates for all components
Best practices for Pythonic constructs like comprehensions and context managers

Use Cases

Refactoring existing Python scripts to meet industry-standard style requirements
Generating high-quality documentation and docstrings for public APIs
Enforcing consistent type hinting across large-scale software projects