setup-python

Automate Python environment setup with UV, pytest, Ruff, and MyPy.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the setup and verification of a robust Python development environment, ensuring consistency and speed using the UV package manager.

Core Features & Use Cases

  • UV Integration: Leverages UV for lightning-fast dependency management, virtual environment creation, and package installation.
  • Tooling Setup: Configures essential development tools like pytest for testing, Ruff for linting/formatting, and MyPy for type checking.
  • Use Case: When starting a new Python project or onboarding to an existing one, this Skill will quickly establish a clean, optimized, and verified development environment, allowing you to focus on coding immediately.

Quick Start

Run the setup-python skill to configure your Python development environment.

Frequently Asked Questions about setup-python

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

FAQPage Schema
How do I set up a Python development environment using UV?

To set up a Python development environment using UV, this Skill automates virtual environment creation and installs dependencies from pyproject.toml or requirements files. It configures pytest, Ruff, and MyPy to ensure a verified, reproducible setup.

What's the best way to configure pytest, Ruff, and MyPy for a new Python project?

The best way to configure pytest, Ruff, and MyPy is using this Skill to automate tooling setup during environment creation. It establishes testing, linting, formatting, and type checking simultaneously to enforce best practices.

Can I use this UV environment setup with existing pyproject.toml files?

Yes, you can use this UV environment setup with existing pyproject.toml files. The Skill reads your pyproject.toml or requirements files to install dependencies and configure the development environment for onboarding.

Does UV dependency management work with both pyproject.toml and requirements files?

UV dependency management works with both pyproject.toml and requirements files. The Skill leverages UV for lightning-fast package installation by automatically detecting and processing either format to establish your virtual environment.

Why use UV for Python virtual environment creation instead of standard tools?

You should use UV for Python virtual environment creation to achieve lightning-fast dependency management and package installation. It ensures reproducibility and strict adherence to modern best practices compared to standard tools.