Does this skill support automated code fixing?

Absolutely. This skill provides detailed guidance on using the --fix and --diff commands to automatically resolve safe violations and preview changes.

How much faster is Ruff compared to traditional linters?

Ruff is written in Rust and is typically 10-100x faster than traditional tools like Flake8, pylint, or isort, making it ideal for large codebases.

Can Ruff replace my existing Python development tools?

Yes, Ruff is designed to be a drop-in replacement for Flake8, isort, pyupgrade, and dozens of other specialized plugins in a single tool.

Is it compatible with CI/CD pipelines?

Yes, it includes specific integration patterns for GitHub Actions, GitLab CI, and pre-commit hooks to ensure code quality in automated workflows.

How do I configure specific linting rules?

You can manage rules through a pyproject.toml or ruff.toml file, or use command-line flags like --select and --ignore to target specific issue codes.

Ruff Python Linting

Name: Ruff Python Linting
Author: laurigates

bylaurigates

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Developer Tools

Optimizes Python code quality using the ultra-fast Ruff linter for automated error detection and fixing.

The ruff-linting skill equips Claude with expert knowledge for maintaining high-quality Python codebases using the Rust-based Ruff linter. It enables rapid identification of bugs, enforcement of PEP 8 standards, and automated code formatting, effectively replacing multiple legacy tools like Flake8, isort, and pylint with a single, high-performance utility. This skill is ideal for developers looking to streamline their linting workflow, implement comprehensive rule sets, or integrate fast static analysis into their local development and CI/CD pipelines.

Key Features

013 GitHub stars

02High-speed linting performance (10-100x faster than Flake8)

03Comprehensive support for over 800 built-in linting rules

04Automated fixing for common style, import, and logic violations

05Multi-format output support including JSON and GitHub Actions annotations

06Seamless integration with pyproject.toml and ruff.toml configurations

Use Cases

01Refactoring legacy codebases with safe, automated modernization fixes

02Automating code quality checks and bug detection in Python repositories

03Standardizing import organization and coding styles across large teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add laurigates/claude-plugins ruff-linting

For use in Claude.ai and ChatGPT

Download Skill