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.