python-best-practices

Enforce PEP 8 formatting and idiomatic Python patterns during code review.

1|Updated May 21, 2026
One-click install
npx skills add https://github.com/hiddink-ai/hiddink-harness --skill python-best-practices-hiddink-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-best-practices
Source: https://github.com/hiddink-ai/hiddink-harness/tree/main/templates/skills/python-best-practices
Command: npx skills add https://github.com/hiddink-ai/hiddink-harness --skill python-best-practices-hiddink-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the inconsistency and technical debt that arise when Python code deviates from established community standards, ensuring high readability and maintainability.

Core Features & Use Cases

  • Standardized Formatting: Enforces PEP 8 guidelines for layout, whitespace, and naming conventions to ensure a uniform codebase.
  • Idiomatic Refactoring: Provides patterns for Pythonic constructs like list comprehensions, context managers, and proper exception handling.
  • Use Case: Use this skill during a code review to identify non-idiomatic loops that should be replaced with list comprehensions or to verify that docstrings and type hints meet project requirements.

Quick Start

Apply the python-best-practices skill to review the current module for PEP 8 compliance and suggest idiomatic improvements.

Frequently Asked Questions about python-best-practices

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

FAQPage Schema
How do I enforce PEP 8 formatting and naming conventions in my Python codebase?

To enforce PEP 8 formatting, apply this skill to standardize Python source code layout, whitespace, and naming conventions. It ensures a uniform codebase by applying community-accepted formatting rules directly to your modules.

What is the best way to refactor Python code into idiomatic patterns like list comprehensions?

Refactoring Python code into idiomatic patterns involves replacing non-idiomatic loops with list comprehensions and adopting context managers. This skill provides patterns for Pythonic constructs to improve code readability and maintainability.

How do I check Python code quality during a code review for proper exception handling?

Checking Python code quality during a review involves verifying explicit error handling and proper exception management. Use this skill to identify non-idiomatic constructs and ensure docstrings meet project requirements.

Can I use this skill to verify that Python docstrings and type hints meet project requirements?

Yes, you can use this skill to verify Python docstrings and type hints. It standardizes source code by enforcing consistent documentation and checking that type annotations align with established community best practices.

When do I need to standardize Python source code for efficient resource management?

You need to standardize Python source code for efficient resource management when technical debt arises from deviating from community standards. This skill ensures proper context managers are used for resource handling.