uv

scriptablepackage management
$ brew install uv
Summary

Python envs, fast installs, and script execution from the terminal.

  • uv fits local ai well, especially for python envs, fast installs, and script execution from the terminal.
  • 200,164 homebrew installs (30d).
  • Easy to automate.
  • Good fit for coding-agent workflows and repeatable scripts.
  • Output is mostly text-first, so verify results before scripting around it.
ai-uv-SKILL.md

Uv guide

Python envs, fast installs, and script execution from the terminal. Built by Astral. Start with `uv init demo` and go from there.

Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.

When to apply

  • python envs, fast installs, and script execution from the terminal.
  • You need packages and builds in both local dev and CI.
  • You need python envs.
  • You need fast installs.
  • You need script execution.

Quick reference

Installbrew install uv
Verifyuv --version
First real commanduv init demo && cd demo && uv run main.py

Open CLI × skills.sh

Open CLI integrates uv with the right skills.sh companions so you get the tool and the workflow together.

Environment Setup

Verified pairing

Open CLI integrates uv with this skills.sh skill because it is the clearest fit for how uv is usually used. Get local toolchains installed and repeatable before deeper automation.

View on skills.sh
$ npx skills add https://github.com/supercent-io/skills-template --skill environment-setup
Starter prompt

Use uv together with the Environment Setup skills.sh skill. Start with safe inspection commands, summarize what you find, and ask before any step with side effects.

Why this tool

  • uv fits local ai well, especially for python envs, fast installs, and script execution from the terminal.
  • 200,164 homebrew installs (30d).
  • Easy to automate.

Watch-outs

  • Output is mostly plain text.

Example workflow

1. uv init demo
2. cd demo
3. uv add httpx && uv run main.py

Safe start

Step 1

Install uv.

Step 2

Run `uv --version` first.

Step 3

Start with `uv init demo && cd demo && uv run main.py`.

Step 4

Install the CLI and any required runtime, model, or Python environment.

Alternatives worth considering