Can uv manage Python versions?

Absolutely. uv includes a built-in Python manager that can list, download, and pin specific Python versions for your projects, eliminating the need for separate tools like pyenv.

Why should I use uv instead of pip or poetry?

uv is significantly faster—often 10-100x—than traditional tools. It provides a more reliable dependency resolver and unifies Python installation, environment management, and package installation into a single, high-performance tool.

Does this skill help with existing projects?

Yes, it provides specific patterns for migrating from requirements.txt, poetry, and pip-tools, as well as methods for syncing existing pyproject.toml files with uv.

Is uv compatible with Docker and CI/CD?

Yes, this skill includes optimized multi-stage build patterns for Docker and specialized GitHub Actions configurations to significantly reduce CI/CD execution times.

UV Python Package Manager

Name: UV Python Package Manager
Author: HermeticOrmus

byHermeticOrmus

Despliegue y DevOps

Accelerates Python development by managing dependencies, virtual environments, and Python versions using the ultra-fast Rust-based uv tool.

Acerca de

This skill equips Claude with the expertise to master uv, the high-performance Python package installer and resolver. It enables lightning-fast project initialization, efficient dependency resolution, and seamless virtual environment management, effectively replacing legacy tools like pip, poetry, and pyenv. Whether you are optimizing CI/CD pipelines, managing complex monorepos, or simply setting up a local development environment, this skill provides the patterns and commands needed to leverage uv's speed and reliability for reproducible Python builds.

Características Principales

Lightning-fast dependency installation and resolution (10-100x faster than pip)
Seamless Python version management and automated installation
Reproducible builds through robust lockfile and workspace support
0 GitHub stars
Standardized project initialization and virtual environment creation
Optimized workflows for Docker, CI/CD pipelines, and monorepos

Casos de Uso

Migrating existing Python projects from Poetry or pip to uv for improved performance
Managing multiple Python versions and virtual environments across a complex workspace
Setting up high-performance CI/CD pipelines with setup-uv for faster builds

Acerca de

Características Principales

Lightning-fast dependency installation and resolution (10-100x faster than pip)
Seamless Python version management and automated installation
Reproducible builds through robust lockfile and workspace support
0 GitHub stars
Standardized project initialization and virtual environment creation
Optimized workflows for Docker, CI/CD pipelines, and monorepos

Casos de Uso

Migrating existing Python projects from Poetry or pip to uv for improved performance
Managing multiple Python versions and virtual environments across a complex workspace
Setting up high-performance CI/CD pipelines with setup-uv for faster builds