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uv

Run Python scripts and manage dependencies with inline metadata.

Updated Mar 6, 2026
Search Tags:#automation#python#uv#dependency-management#inline-metadata#script-execution
One-click install
npx skills add https://github.com/v36372/pi-stuff --skill uv-v36372
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: uv
Source: https://github.com/v36372/pi-stuff/tree/main/skills/uv
Command: npx skills add https://github.com/v36372/pi-stuff --skill uv-v36372

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

uv provides a streamlined way to run Python scripts and manage their dependencies without relying on pip, virtual environments, or manual setup, reducing boilerplate and speeding up automation.

Core Features & Use Cases

  • Run scripts easily with uv run script.py to execute code with automatic context handling.
  • Add and pin dependencies via uv add, enabling ad-hoc dependency management and reproducible environments.
  • Inline script metadata support allows standalone scripts to declare dependencies and Python version requirements for portability.
  • Built-in verification and reproducibility workflows include --with for ad-hoc dependencies, uv lock, and uv_build for packaging pure-Python projects.

Quick Start

Create a script with inline metadata and run it with uv run script.py.

Frequently Asked Questions about uv

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

FAQPage Schema
How do I run Python scripts with inline dependencies without setting up a virtual environment?▼

Running Python scripts with inline dependencies is achieved via uv run script.py, which automatically resolves ad-hoc dependencies and executes code without requiring manual virtual environment setup or pip installations.

What is inline script metadata for managing ad-hoc Python dependencies?▼

Inline script metadata is a standalone script format that declares dependencies and Python version requirements directly inside the file, ensuring portability and reproducible execution without external configuration files.

How do I pin dependencies for a reproducible Python project workflow?▼

Pinning dependencies for a reproducible Python project workflow is done using uv add to manage packages and uv lock to generate a deterministic lockfile, ensuring consistent environments across different executions.

Can I execute a Python script with a temporary dependency using uv?▼

Executing a Python script with a temporary dependency is supported using the --with flag, allowing you to run code with ad-hoc packages injected into the execution context without permanently modifying the project environment.

Does uv work for building pure-Python packages without conventional tooling?▼

Building pure-Python packages without conventional tooling is supported via uv_build, which provides a streamlined workflow for packaging projects, replacing standard boilerplate setup and manual configuration.

What is the best way to manage multiple Python scripts with varying dependencies?▼

Managing multiple Python scripts with varying dependencies is best handled by combining inline script metadata for standalone portability and uv run for automatic context handling, eliminating virtual environment conflicts.

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