python-code

Lint, type-check, and refactor Python library code with Ruff and MyPy.

Updated May 5, 2026
One-click install
npx skills add https://github.com/wachawo/claude-skills --skill python-code-wachawo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-code
Source: https://github.com/wachawo/claude-skills/tree/main/skills/python-code
Command: npx skills add https://github.com/wachawo/claude-skills --skill python-code-wachawo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of maintaining high-quality, idiomatic, and type-safe Python codebases by providing standardized linting, formatting, and type-checking workflows.

Core Features & Use Cases

  • Static Analysis & Formatting: Automates code cleanup using Ruff to enforce PEP 8 and modern Python standards.
  • Type Safety: Provides comprehensive MyPy configurations to ensure robust type checking and reduce runtime errors.
  • Best Practices: Offers a curated collection of Pythonic idioms, anti-pattern identification, and structural organization patterns for library development.

Quick Start

Use the python-code skill to lint the current directory and apply all recommended type checking and formatting fixes.

Frequently Asked Questions about python-code

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

FAQPage Schema
How do I configure Ruff for automated Python linting and PEP 8 compliance?

Configure Ruff for Python linting by applying automated static analysis rules to enforce PEP 8 formatting and modern standards. This streamlines code cleanup and identifies anti-patterns to improve overall library maintainability.

What is the best way to set up MyPy for strict type checking in a Python library?

The best way to set up MyPy for strict type checking is to apply comprehensive configurations that enforce robust type safety. This ensures type hints are correctly implemented and significantly reduces potential runtime errors.

How does static type checking improve Python code quality during refactoring?

Static type checking improves Python refactoring by validating type hints and identifying structural anti-patterns before runtime. Applying strict MyPy configurations ensures robust type safety and maintains code quality during structural reorganizations.

Can I use this approach to identify anti-patterns and enforce modern Pythonic idioms?

Yes, you can identify anti-patterns and enforce modern Pythonic idioms by applying automated linting and static analysis. This process evaluates code against curated best practices to ensure structural organization and high maintainability.

Do I need type hints throughout my codebase to run automated Python static analysis?

You do not need existing type hints to run initial linting and formatting via Ruff. However, implementing type hints is required for comprehensive MyPy type checking to ensure strict type safety and reduce runtime errors.