- Skill ID
- google-deepmind/science-skills/uv
- Publisher
- google-deepmind
- Repository
- science-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
google-deepmind/science-skills/uvInstalls these files- SKILL.md
What this skill tells the agent
uv (Python Package Manager)
uv is a fast Python package manager used by Science Skills to run their Python CLI scripts. Many skills depend on uv being installed and on PATH.
Ensure uv is available before running any skill that depends on it.
Setup
- Check if
uvis already available:uv --version(or& uv --versionin PowerShell). If this succeeds,uvis ready — skip the remaining steps. - Check whether
uvis installed at its default location but not on PATH:
- Unix/macOS:
"$HOME/.local/bin/uv" --version - Windows (PowerShell):
& "$HOME\.local\bin\uv.exe" --version
If either succeeds, skip to step 4.
- If uv is not installed do these steps in order:
(a) Tell the user that uv is a tool for creating a consistent and reliable Python environment used for running the Science Skills, and that you need to install it now.
(b) Install uv:
- Unix/macOS:
curl -LsSf https://astral.sh/uv/install.sh | sh - Windows (PowerShell):
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
- Add
uvto PATH and verify (run as a single command):
- Unix/macOS:
export PATH="$HOME/.local/bin:$PATH" && uv --version - Windows (PowerShell):
$env:PATH = "$HOME\.local\bin;" + $env:PATH; uv --version
After setup, bare uv commands should work without repeating the export.
More from google-deepmind
Use this skill in a project
Open any RiverX project, search the Skills panel for google-deepmind/science-skills/uv, and install it in one click.
