What are the advantages of using uv over pip?

uv is written in Rust and performs dependency resolution and package installation 10-100x faster than pip. It also manages Python versions and virtual environments natively.

Can ruff replace my current Python linting stack?

Yes, ruff is designed to replace Black, isort, Flake8, pyupgrade, and several other tools, consolidating over 800 rules into a single, extremely fast executable.

How does this skill help with legacy project migration?

It provides specific workflows and command patterns to help you transition from Poetry, Conda, or requirements.txt files to the modern uv-based ecosystem.

Does this skill support pyproject.toml configuration?

Absolutely. The skill provides guidance and patterns for configuring both uv and ruff directly within the standard pyproject.toml file for centralized project management.

UV & Ruff Python Tools

Name: UV & Ruff Python Tools
Author: tenequm

bytenequm

•

Herramientas para Desarrolladores

Accelerates Python development by integrating the lightning-fast uv package manager and ruff linter/formatter into your workflow.

Acerca de

This skill empowers developers to manage Python projects with unprecedented speed using Astral's Rust-based tooling suite. It streamlines dependency management, virtual environment creation, and Python versioning via uv, while enforcing high code quality standards through ruff's high-performance linting and formatting. Ideal for modernizing legacy projects or bootstrapping new ones, this skill ensures consistent environments and clean, PEP 8-compliant codebases with significantly lower overhead than traditional Python tools.

Características Principales

Seamless management of multiple Python versions and virtual environments
Automatic migration support from legacy tools like Poetry, Conda, and pipx
Production-ready CI/CD and pre-commit hook configuration
4 GitHub stars
10-100x faster dependency resolution and package installation than pip
Unified linting, formatting, and import sorting with ruff

Casos de Uso

Bootstrapping new Python projects with modern standards and pyproject.toml
Standardizing code quality across teams by replacing multiple linters with ruff
Optimizing local development workflows and CI/CD pipeline execution speeds

Acerca de

Características Principales

Seamless management of multiple Python versions and virtual environments
Automatic migration support from legacy tools like Poetry, Conda, and pipx
Production-ready CI/CD and pre-commit hook configuration
4 GitHub stars
10-100x faster dependency resolution and package installation than pip
Unified linting, formatting, and import sorting with ruff

Casos de Uso

Bootstrapping new Python projects with modern standards and pyproject.toml
Standardizing code quality across teams by replacing multiple linters with ruff
Optimizing local development workflows and CI/CD pipeline execution speeds