python-modern

Guides modern Python development with uv, Pydantic, mypy, and ruff.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/bswrundquist/devtools --skill python-modern-bswrundquist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-modern
Source: https://github.com/bswrundquist/devtools/tree/main/src/devtools/templates/claude/user/.claude/skills/python-modern
Command: npx skills add https://github.com/bswrundquist/devtools --skill python-modern-bswrundquist

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance and tooling for developing modern Python applications, focusing on efficient package management, robust data validation, and strong typing.

Core Features & Use Cases

  • Package Management: Utilize uv for lightning-fast dependency installation and environment management.
  • Data Validation: Leverage Pydantic BaseModel for declarative data validation and settings management.
  • Type Hinting: Implement static type checking with mypy for more reliable and maintainable code.
  • Linting & Formatting: Employ ruff for fast code analysis and formatting.
  • Testing: Set up and run tests using pytest.
  • Use Case: Setting up a new Python project with best-in-class tooling, ensuring type safety, efficient dependency handling, and clean code from the start.

Quick Start

Install the 'python-modern' skill and then run 'uv init my-project' to create a new Python project.

Frequently Asked Questions about python-modern

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

FAQPage Schema
How do I set up a modern Python project with uv, Pydantic, and type hints?

Set up a modern Python project by running `uv init my-project` to configure package management, then integrate Pydantic for data validation, mypy for static type checking, and ruff for linting to ensure maintainable code.

What is the best way to manage Python dependencies and environments fast?

The best way to manage Python dependencies fast is using `uv`, which provides lightning-fast dependency installation and environment management to efficiently handle your project's packages and virtual environments.

How does Pydantic BaseModel work for data validation in Python?

Pydantic BaseModel works by enabling declarative data validation and settings management, allowing you to define data models with type hints that automatically validate incoming data and ensure robust application settings.

Can I use mypy and ruff together for Python type checking and linting?

Yes, you can use mypy and ruff together for Python type checking and linting; mypy provides static type checking for reliability, while ruff handles fast code analysis and formatting to maintain clean code.

Does this modern Python development approach support automated testing?

Yes, this modern Python development approach supports automated testing by guiding you to set up and run tests using pytest, ensuring your type-safe, validated applications remain robust and maintainable.