python-style-guide

Name: python-style-guide
Availability: InStock
Author: Ronnasayd

Enforce Google Python Style Guide conventions for code readability and maintainability.

1|Updated Sep 11, 2025

Search Tags:#linting #best practices #python #readability #maintainability #style guide

Ready to run

npx skills add https://github.com/Ronnasayd/AI-pair-programming --skill python-style-guide-ronnasayd

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-style-guide
Source: https://github.com/Ronnasayd/AI-pair-programming/tree/main/skills/python-style-guide
Command: npx skills add https://github.com/Ronnasayd/AI-pair-programming --skill python-style-guide-ronnasayd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enforces adherence to the Google Python Style Guide, ensuring Python code is readable, maintainable, and consistent, thereby reducing bugs and improving collaboration.

Core Features & Use Cases

Code Readability: Enforces consistent formatting, naming conventions, and whitespace.
Maintainability: Promotes clear docstrings, specific exception handling, and avoidance of global mutable state.
Modern Python: Encourages the use of type annotations for static analysis.
Use Case: When generating new Python code or reviewing existing code, this skill provides the rules to ensure it aligns with industry best practices.

Quick Start

Apply the python-style-guide skill to review the provided Python script for adherence to Google's style conventions.

Frequently Asked Questions about python-style-guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I enforce Python coding conventions for readability and maintainability?▼

You can enforce Python coding conventions by applying rules for consistent formatting, naming, and whitespace based on the Google Python Style Guide. This ensures your code remains readable, maintainable, and consistent across projects.

What is the best way to write clear docstrings and handle exceptions in Python?▼

The best way to write clear docstrings and handle exceptions safely is to follow style guidelines that mandate specific exception handling and clear documentation. This approach improves maintainability and reduces bugs in production-quality Python code.

Do I need type annotations for static analysis when generating Python code?▼

Yes, you need type annotations for static analysis. Modern Python style guides encourage type annotations to enforce static typing, which helps catch type-related errors early and improves overall code maintainability.

Can I use this approach to review existing Python scripts for style adherence?▼

Yes, you can use this style guide to review existing Python scripts. It checks your code against specific rules for imports, whitespace, naming, and documentation to ensure it aligns with industry best practices.

What specific Python import and whitespace rules does this style guide enforce?▼

This style guide enforces specific rules for imports and whitespace to ensure consistent formatting. By adhering to these rules, your Python code achieves higher readability and aligns with Google Python Style Guide conventions.