modern-python

Standardize Python project configuration and dependency management with uv.

3|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/legout/pi-config --skill modern-python-legout
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: modern-python
Source: https://github.com/legout/pi-config/tree/main/installed-skills/modern-python
Command: npx skills add https://github.com/legout/pi-config --skill modern-python-legout

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill resolves the fragmentation and overhead of legacy Python tooling by providing a unified, high-performance workflow based on modern standards like uv, ruff, and ty.

Core Features & Use Cases

  • Unified Tooling: Replaces pip, virtualenv, black, flake8, and mypy with a single, faster ecosystem.
  • Project Standardization: Provides templates and configuration for new projects, dependency management, and automated security auditing.
  • Migration Support: Offers a structured path to modernize legacy codebases by removing outdated artifacts and adopting PEP 723 and PEP 735 standards.

Quick Start

Use the modern-python skill to initialize a new project with uv and configure the recommended development environment.

Frequently Asked Questions about modern-python

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

FAQPage Schema
How do I standardize Python project configuration and dependency management with uv?

Standardize Python project configuration by using the uv ecosystem to bootstrap new projects, manage dependencies, and configure modern linting, formatting, and type-checking workflows.

What is the best way to migrate legacy Python tooling to a modern workflow?

Migrate legacy Python tooling by replacing pip, virtualenv, black, flake8, and mypy with the unified uv ecosystem, removing outdated artifacts and adopting PEP 723 and PEP 735 standards.

How does ruff replace traditional Python linting and formatting tools?

Ruff replaces traditional Python linting and formatting tools like black and flake8 by providing a single, high-performance solution that integrates directly into the modern uv project workflow.

Can I use uv to configure automated security auditing for Python projects?

Yes, you can use uv to configure automated security auditing as part of a standardized Python project setup, ensuring reproducible dependency management and high-performance development workflows.

Do I need to install pip and virtualenv separately to manage Python dependencies?

No, you do not need pip and virtualenv separately because the uv ecosystem handles dependency management and virtual environments natively, providing a unified and reproducible workflow.

What limitations should I expect when modernizing legacy Python codebases with uv?

When modernizing legacy Python codebases, expect to manually remove outdated artifacts and update configurations to match PEP 723 and PEP 735 standards during the structured migration process.