python-best-practices

Analyzes Python codebases and applies idiomatic patterns per PEP 8 and PEP 20.

34|5|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/baekenough/oh-my-customcode --skill python-best-practices-baekenough
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-best-practices
Source: https://github.com/baekenough/oh-my-customcode/tree/main/templates/.claude/skills/python-best-practices
Command: npx skills add https://github.com/baekenough/oh-my-customcode --skill python-best-practices-baekenough

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams and developers adopt Pythonic patterns and official documentation guidance to write clearer, more maintainable code.

Core Features & Use Cases

  • Code Layout & Indentation: Enforces consistent structure and whitespace to improve readability.
  • Imports & Module Structure: Encourages proper import ordering and locality to reduce coupling.
  • Naming & Documentation: Promotes conventional naming and comprehensive docstrings for public APIs.

Quick Start

Analyze your Python project to apply PEP 8 and PEP 20 inspired conventions across all files.

Frequently Asked Questions about python-best-practices

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

FAQPage Schema
How do I apply PEP 8 formatting and import ordering to an existing Python codebase?

Pythonic best practices, inspired by PEP 20, emphasize writing clear and maintainable code by enforcing conventional naming, comprehensive docstrings for public APIs, and proper module structure to reduce coupling.

What is the best way to enforce Python documentation standards for public APIs?

Enforce Python documentation standards by applying PEP 8 and PEP 20-inspired rules that require comprehensive docstrings for public APIs, ensuring conventional naming and improved code maintainability.

Can I use configurable linting thresholds for Python code quality on projects of all sizes?

Yes, you can apply configurable linting thresholds to Python projects of all sizes, enforcing PEP 8 and PEP 20-inspired rules with explicit guidance to improve code quality and maintainability.

How do I reduce module coupling when structuring Python imports?

Reduce module coupling by enforcing proper import ordering and locality across your Python project, which encourages better module structure and improves overall codebase maintainability.

Does this approach work for both small scripts and large Python projects?

Yes, applying idiomatic Python patterns and PEP 8 conventions works effectively for Python projects of all sizes, providing explicit guidance to improve formatting, imports, naming, and documentation.