uv-pip-install

Install and manage Python packages in a uv-managed virtual environment.

1.5k|180|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/Memento-Teams/Memento-Skills --skill uv-pip-install
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uv-pip-install
Source: https://github.com/Memento-Teams/Memento-Skills/tree/main/builtin/skills/uv-pip-install
Command: npx skills add https://github.com/Memento-Teams/Memento-Skills --skill uv-pip-install

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Install and manage Python packages inside the uv-managed virtual environment, ensuring projects have the required dependencies without polluting the host system.

Core Features & Use Cases

  • Install and manage Python packages in the uv environment, including single and multiple package installs
  • Show installed packages, list current dependencies, and upgrade packages in the uv environment
  • Resolve ModuleNotFoundError by installing required libraries as requested by scripts or users

Quick Start

Install a package using uv pip install <package> in your project directory.

Frequently Asked Questions about uv-pip-install

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

FAQPage Schema
How do I install Python packages in a uv virtual environment?

To install Python packages in a uv virtual environment, use the uv pip install command in your project directory. This ensures dependencies are installed locally without polluting the host system.

Why does my Python script fail with a ModuleNotFoundError when using uv?

A ModuleNotFoundError occurs when required libraries are missing from the uv environment. Resolve it by installing the necessary pip packages requested by the script.

Can I list, show, or upgrade existing dependencies in the uv environment?

Yes, you can manage existing dependencies in the uv environment. The tool supports show, list, and upgrade operations to maintain and review installed Python packages.

What is the best way to handle import errors for missing Python libraries in uv?

The best way to handle import errors is to map the missing module name to its corresponding pip package and install it using uv pip install within your project directory.

Do I need a virtualenv to manage Python packages with uv pip?

Yes, uv pip operates within a uv-managed virtual environment. This isolates package installations to ensure your project has the required dependencies without affecting the host system.