python-code-style

Enforce PEP 8 and modern Python 3.12+ style using Ruff checks.

1|1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Jylhis/skills --skill python-code-style-jylhis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-code-style
Source: https://github.com/Jylhis/skills/tree/main/skills/python-code-style
Command: npx skills add https://github.com/Jylhis/skills --skill python-code-style-jylhis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Idiomatic Python 3.12+ style: PEP 8 baseline, modern syntax, comprehensions, f-strings, pathlib, structural pattern matching, walrus operator. Apply when writing or reviewing Python code.

Core Features & Use Cases

  • Enforces PEP 8 baseline (4-space indentation, line length 88, proper blank lines).
  • Encourages modern Python features and clean coding practices (structural pattern matching, f-strings, pathlib).
  • Guides naming, imports, and code organization to improve readability and consistency across projects.
  • Provides practical quick-start guidance for adopting consistent style in existing and new codebases.

Quick Start

Run Ruff to enforce PEP 8 baseline, modern Python idioms, and consistent style in your Python 3.12+ codebase.

Frequently Asked Questions about python-code-style

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

FAQPage Schema
How do I enforce PEP 8 baseline and modern Python 3.12+ style in my codebase?

To enforce PEP 8 baseline and modern Python style, run Ruff to validate 4-space indentation, line length 88, and proper blank lines. This ensures consistent formatting and structural compliance across modules, utilities, and packages in your Python 3.12+ projects.

What's the best way to check for modern Python syntax usage during code reviews?

The best way to check for modern Python syntax usage during reviews is to run Ruff to validate f-strings, pathlib, structural pattern matching, and walrus operators. It enforces idiomatic Python 3.12+ features and clean coding practices to improve readability.

Does this Python static analysis approach work with existing codebases or only new projects?

This Python static analysis approach works with both existing codebases and new projects. It provides practical quick-start guidance for adopting consistent style, validating naming, imports, and code organization to improve readability across your Python 3.12+ modules.

When do I need to run a Python linter for code style and best practices?

You need to run a Python linter for code style and best practices when writing or reviewing Python code to ensure idiomatic Python 3.12+ style. It validates PEP 8 compliance, naming conventions, imports, and modern syntax usage for consistency.

Why use Ruff for Python linting over other static analysis tools?

Use Ruff for Python linting because it enforces PEP 8 baseline and modern Python 3.12+ idioms like structural pattern matching and comprehensions. It validates naming, imports, and modern syntax to guide code organization and improve readability across projects.