python-linting

Automate Python linting configuration and enforcement using Ruff.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ruff linting for Python provides fine-grained control over lint rules, per-file ignores, and quick CI integration to keep code clean without fighting the tool.

Core Features & Use Cases

  • Rule selection to tailor Ruff to your project style, including common error and warning groups.
  • Per-file ignores to selectively bypass rules in specific modules or tests.
  • CI integration to enforce linting in automated pipelines.

Quick Start

Install Ruff in your project and run linting on your codebase.

Frequently Asked Questions about python-linting

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

FAQPage Schema
How do I configure Ruff for Python linting in a CI pipeline?

Configure Ruff for Python linting by selecting specific rule groups, defining per-file ignores, and integrating the check command into your CI pipeline to enforce code quality automatically. This ensures consistent linting across local development and automated builds.

What is the best way to ignore specific lint rules in test files using Ruff?

The best way to ignore specific lint rules in test files is to configure per-file ignores in your Ruff setup. This selectively bypasses rules in specific modules or test directories without disabling checks globally across the entire Python project.

How do I select specific Ruff rules to match my project style?

Select specific Ruff rules by configuring common error and warning groups within your project setup. This tailors the static analysis tool to your project style, ensuring code quality checks align with your team's established conventions without fighting the tool.

Can I use Ruff to enforce Python code quality without installing additional dependencies?

Yes, you can enforce Python code quality using Ruff as a standalone tool. Installing Ruff in your project provides fine-grained control over lint rules, per-file ignores, and CI integration without requiring additional linter dependencies.

When should I use noqa comments versus per-file ignores in Ruff?

Use per-file ignores to bypass rules across entire modules or test directories, while noqa comments suppress specific violations on individual lines. This combination provides fine-grained control over lint rules without fighting the tool.