How does uv compare to pip or Poetry?

uv is significantly faster (10-100x) because it's written in Rust and uses a global cache. Unlike pip, it handles lockfiles, virtual environments, and Python versions natively in a single tool.

Can I use uv in my existing Python projects?

Yes, uv is highly compatible. It can migrate existing requirements.txt files or work directly with your existing pyproject.toml, often serving as a drop-in replacement for pip-tools or Poetry.

How does this skill help with Docker builds?

It provides optimized multi-stage Dockerfile patterns that use uv to drastically reduce build times and image sizes through efficient layer caching and faster dependency synchronization.

Does uv manage Python versions?

Yes, uv can download and install specific Python versions (e.g., 3.11, 3.12) and pin them per project using a .python-version file, eliminating the need for separate tools like pyenv.

UV Python Package Manager

Name: UV Python Package Manager
Author: as4584

byas4584

Developer Tools

Accelerates Python project management with ultra-fast dependency resolution, virtual environment handling, and reproducible builds using uv.

About

This skill empowers developers to leverage uv, the Rust-based Python package manager that is significantly faster than traditional tools like pip and Poetry. It provides comprehensive patterns for initializing projects, managing complex dependencies, handling multiple Python versions, and optimizing workflows for both local development and containerized environments. By integrating uv into Claude's coding capabilities, it ensures efficient, reproducible, and blazing-fast Python development cycles, particularly for large-scale applications and performance-sensitive CI/CD pipelines.

Key Features

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Ultra-fast package installation and dependency resolution (10-100x faster than pip)
Standardized project initialization with pyproject.toml and uv.lock support
Seamless virtual environment management and automated Python version installation
Advanced monorepo support with workspace member management
Optimized CI/CD and Docker integration patterns for streamlined deployments

Use Cases

Setting up reproducible Python development environments across distributed teams
Optimizing Docker image build times and CI/CD pipeline execution speed
Migrating legacy pip or Poetry projects to high-performance uv workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add as4584/antigravity-skills uv-package-manager

For use in Claude.ai and ChatGPT

Download Skill

GitHub