astral-uv

Automate Python project setup, dependency resolution, and virtual environments with uv.

Updated Jan 3, 2026

Search Tags:#python #virtualenv #venv #package-management #dependency-management #project-automation

Ready to run

npx skills add https://github.com/ianphil/my-skills --skill astral-uv

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: astral-uv
Source: https://github.com/ianphil/my-skills/tree/main/astral-uv
Command: npx skills add https://github.com/ianphil/my-skills --skill astral-uv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamline Python project setup, dependency management, and virtual environment handling with a fast, unified toolset.

Core Features & Use Cases

Rapid virtual environment creation and isolation using uv venv
Simplified dependency management with uv add and uv pip equivalents
Project initialization and version management with uv init and uv python
Run and test scripts directly via uv run without manual activation
Sync and reproduce environments with uv sync for CI stability
Manage pyproject.toml and project metadata automatically

Quick Start

Initialize a new Python project with uv init my-project, then add dependencies with uv add requests, and finally run your script with uv run script.py.

Frequently Asked Questions about astral-uv

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

FAQPage Schema

How do I set up a new Python project and manage dependencies automatically?▼

Initialize a new Python project and manage dependencies automatically using uv init and uv add. This creates a pyproject.toml file, handles version management, and installs required packages without manual configuration.

What is the best way to run Python scripts without manually activating a virtual environment?▼

Run Python scripts directly in an isolated environment using uv run script.py. This command resolves dependencies and executes the script automatically without requiring manual virtual environment activation.

How do I create reproducible Python environments for CI stability?▼

Create reproducible Python environments for CI stability by using uv sync. This synchronizes your project dependencies exactly as defined in your pyproject.toml, ensuring consistent environments across different machines.

Can I handle pyproject.toml metadata and multi-environment work streams in one tool?▼

Yes, you can handle pyproject.toml metadata and multi-environment work streams in one tool. It unifies project initialization, dependency resolution, and venv isolation to maintain multiple isolated work streams efficiently.

Why use a unified toolset for Python package and project management instead of separate utilities?▼

A unified toolset streamlines Python project setup and virtual environment handling with high speed. It replaces fragmented utilities by integrating initialization, dependency installation, and script execution into a single workflow.