python-code-quality

Automate Python code quality checks with Ruff and Basedpyright.

2|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/zengbin93/python_coding_skills --skill python-code-quality-zengbin93
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-code-quality
Source: https://github.com/zengbin93/python_coding_skills/tree/main/skills/python-code-quality
Command: npx skills add https://github.com/zengbin93/python_coding_skills --skill python-code-quality-zengbin93

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill defines and enforces Python code quality standards, guiding formatting, linting, and type checking to reduce bugs and improve maintainability.

Core Features & Use Cases

  • Ruff-based formatting and linting: ensures consistent style, fast feedback, and automated fixes where possible.
  • Basedpyright type checking: performs strict static typing checks to catch type errors early.
  • Configurable workflow: provides practical pyproject.toml snippets and usage guidelines for teams.

Quick Start

Run Ruff to format and fix issues in your project, then verify types with Basedpyright.

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 code quality checks for formatting and type correctness?

Automate Python code quality by integrating Ruff for formatting and linting alongside Basedpyright for strict static type checking. This combination enforces consistent style, catches type errors early, and improves maintainability across single modules or large repositories.

What is the best way to enforce Python style and linting rules in a development workflow?

The best way to enforce Python style and linting rules is using Ruff, which provides fast feedback and automated fixes. It ensures consistent code style across development workflows and can be configured through practical pyproject.toml snippets for team environments.

How do I set up Basedpyright for strict static type checking in a Python project?

Set up Basedpyright for strict static type checking by configuring it within your project workflow, often using pyproject.toml snippets. It performs strict static typing checks to catch type errors early and verify type correctness across your Python codebase.

Can I use Ruff and Basedpyright together for large repository code quality enforcement?

Yes, you can use Ruff and Basedpyright together for large repository code quality enforcement. This combination applies strong linting, formatting, and static type analysis across large repositories, satisfying requirements for code style enforcement and type correctness.

Does this Python code quality approach support configurable workflows for development teams?

Yes, this Python code quality approach supports configurable workflows for development teams. It provides practical pyproject.toml snippets and usage guidelines, allowing teams to tailor code style enforcement, linting, and type checking configurations to their specific requirements.