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python-linter

Provide context-aware fixes for Ruff Python linter errors.

Updated Dec 4, 2025
Search Tags:#python#ruff#code-quality#static-analysis#lint
One-click install
npx skills add https://github.com/jr2804/prompts --skill python-linter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-linter
Source: https://github.com/jr2804/prompts/tree/main/skills/python/python-linter
Command: npx skills add https://github.com/jr2804/prompts --skill python-linter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill guides coding agents to fix Ruff Python linter issues by providing precise, context-aware resolution strategies for common alpha-numeric codes (e.g., B008, S108, PLC0415).

Core Features & Use Cases

  • Rule explanations: Clear meaning and rationale for each Ruff rule.
  • Contextual fixes: Step-by-step, code-focused guidance tailored to production, test, or CI contexts.
  • Examples & patterns: Realistic before/after examples illustrating how to apply fixes.
  • Use Case: When a Ruff error blocks PRs, apply the recommended change and re-run lint locally and in CI.

Quick Start

Run Ruff on your Python project to surface issues (e.g., B008, S108, PLC0415) and apply the recommended context-aware fixes.

Frequently Asked Questions about python-linter

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

FAQPage Schema
How do I fix Ruff Python linter errors like B008 or S108?▼

To fix Ruff Python linter errors, apply context-aware resolution strategies that provide rule explanations, practical fixes, and before/after example patterns tailored to your code environment. This targets specific alpha-numeric codes like B008, S108, and PLC0415 across production and test code.

What is the best way to resolve static analysis issues in Python CI pipelines?▼

The best way to resolve static analysis issues in Python CI pipelines is to apply targeted, context-aware fixes for Ruff linter errors, then re-run lint locally and in CI. This ensures code changes pass checks before merging PRs.

Do I need a specific Python version to use Ruff lint fixes?▼

Ruff lint fixes assume Python 3.8+ and Ruff v0.12.0+ as baseline requirements. These versions provide the necessary compatibility for the linter rules and context-aware resolution strategies applied to production and test code.

How do I explain the meaning of a Ruff rule before applying a fix?▼

To explain a Ruff rule, review its clear meaning and rationale provided by context-aware fix guidance. This includes understanding why the rule exists and seeing realistic before/after examples illustrating how to apply the recommended change.

Can I use context-aware lint fixes for both production and test code?▼

Yes, you can use context-aware lint fixes for both production and test code. The guidance offers step-by-step, code-focused resolution strategies tailored specifically to different contexts, ensuring appropriate fixes whether targeting application logic or test suites.

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