python-code-quality

Lint, format, and type check Python code with Ruff and Mypy.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/jwplatta/prompt-library --skill python-code-quality
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-code-quality
Source: https://github.com/jwplatta/prompt-library/tree/main/claude/plugins/pythonic/skills/python-code-quality
Command: npx skills add https://github.com/jwplatta/prompt-library --skill python-code-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures Python code follows best practices with automated linting, formatting, and static type checking.

Core Features & Use Cases

  • Linting with Ruff to catch style and potential bugs
  • Auto-formatting and import organization
  • Type checking with Mypy for early bug detection
  • Code quality metrics to identify complexity and dead code

Quick Start

Run the lint/format/type checks to improve code quality across the project.

Frequently Asked Questions about python-code-quality

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

FAQPage Schema
How do I automate Python linting and formatting across my codebase?

Automate Python linting and formatting by running Ruff for style checks and auto-formatting, combined with Mypy for static type checking. This catches bugs early, enforces PEP 8 compliance, and organizes imports automatically during development, code reviews, and CI pipelines.

What's the difference between Ruff and Mypy for Python code quality?

Ruff handles linting, formatting, and import organization to enforce style and catch potential bugs. Mypy performs static type checking to detect type-related errors before runtime. Together they provide comprehensive code quality coverage: style enforcement plus type safety.

Can I use Python linting and type checking in my CI pipeline?

Yes, Python linting, formatting, and type checking integrate into CI pipelines for on-demand code quality checks. This ensures consistent PEP 8 compliance, typed semantics, and formatting standards across pull requests and builds without manual intervention.

How does static type checking with Mypy improve Python code quality?

Static type checking with Mypy detects type mismatches and inconsistencies before runtime, catching bugs early in development. Combined with strict type semantics configuration, it enforces type discipline and reduces runtime errors in your codebase.

Do I need to configure Ruff and Mypy separately for my project?

Ruff and Mypy are configured independently with their own rule sets and strictness levels. This Skill orchestrates both tools to apply linting, formatting, and type checking together, allowing you to customize rules for your project's specific code quality requirements.