uv

Install and configure the uv Python package manager on the system PATH.

269|20|Updated Jun 13, 2026
One-click install
npx skills add https://github.com/NeuroAIHub/BrainPilot --skill uv-neuroaihub
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uv
Source: https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/20_Infrastructure/uv
Command: npx skills add https://github.com/NeuroAIHub/BrainPilot --skill uv-neuroaihub

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves environment configuration issues by ensuring the uv Python package manager is correctly installed and accessible, preventing failures in downstream scientific tasks.

Core Features & Use Cases

  • Automated Installation: Detects missing uv binaries and installs them automatically via official scripts.
  • Path Verification: Validates that the uv executable is correctly registered in the system PATH.
  • Use Case: When a research agent needs to run a Python-based analysis script, this skill acts as a prerequisite check to guarantee the necessary package management infrastructure is ready.

Quick Start

Ask the agent to verify that the uv package manager is installed and configured correctly on your system.

Frequently Asked Questions about uv

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

FAQPage Schema
How do I ensure the uv Python package manager is installed correctly for agentic workflows?

To ensure the uv Python package manager is installed correctly, the skill automates the detection of missing binaries and installs them via official scripts. It then validates that the executable is registered in the system PATH for reliable environment setup.

What is the best way to set up a high-performance Python environment for scientific CLI tools?

The best way to set up a high-performance Python environment is by installing the uv package manager. This skill provides a prerequisite check to guarantee the standardized package management infrastructure is ready for consistent dependency management.

Why does my Python-based analysis script fail when running in an agentic workflow?

Your Python-based analysis script may fail because the uv package manager is missing or not configured on the system PATH. This skill resolves environment configuration issues by automatically installing the necessary infrastructure to prevent downstream scientific task failures.

Do I need to manually configure PATH variables to use a fast Python package manager?

You do not need to manually configure PATH variables to use a fast Python package manager. This skill validates that the uv executable is correctly registered in the system PATH automatically after verifying installation.

Can I automate Python dependency management setup without manual intervention?

You can automate Python dependency management setup without manual intervention. This skill detects missing uv binaries and applies official installation scripts to support reliable execution of scientific CLI tools automatically.