python-ruff

Configure Ruff linting and formatting for Python projects.

11|2|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/the-perfect-developer/the-perfect-opencode --skill python-ruff
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-ruff
Source: https://github.com/the-perfect-developer/the-perfect-opencode/tree/main/.opencode/skills/python-ruff
Command: npx skills add https://github.com/the-perfect-developer/the-perfect-opencode --skill python-ruff

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Ruff provides fast, consistent linting and formatting for Python projects, replacing slower, multi-tool workflows and helping teams maintain code quality.

Core Features & Use Cases

  • Linting: detect style and correctness issues with Ruff.
  • Formatting: auto-format code per configured style.
  • Use Case: integrate Ruff into CI to ensure codebase-wide quality and reduce review cycles.

Quick Start

Install Ruff and run ruff check followed by ruff format on your project to apply linting and formatting improvements.

Frequently Asked Questions about python-ruff

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

FAQPage Schema
How do I configure Python linting and formatting for a CI pipeline?

Configuring Python linting and formatting for a CI pipeline involves applying Ruff to detect style issues and auto-format code, ensuring fast, consistent codebase-wide quality checks that reduce review cycles.

What is the best way to replace slow multi-tool Python linting workflows?

Replacing slow multi-tool Python linting workflows is best achieved using Ruff, which provides fast, configurable quality checks and auto-formatting to help teams maintain code quality efficiently.

How do I run Ruff check and format on a Python project?

Running Ruff check and format on a Python project requires installing Ruff and executing 'ruff check' followed by 'ruff format' to apply linting and formatting improvements across your codebase.

Does Ruff support configurable code quality checks for multi-repo workspaces?

Ruff does support configurable code quality checks for multi-repo workspaces, providing fast linting and formatting to maintain consistent style and correctness across multiple Python projects.

Why use Ruff for Python code quality in development environments?

Using Ruff for Python code quality in development environments provides fast, consistent linting and formatting, replacing slower workflows and helping teams maintain high code quality.