Environment Setup
Norman-bury/research-writing-skill
A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required
Checks whether the uv Python package manager is installed and installs it if missing.
Install Uv
$ npx skills add google-deepmind/science-skills --skill uv -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install google-deepmind/science-skills uv --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/uv .claude/skills/uv && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "uv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/uv into .claude/skills/uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/google-deepmind/science-skills/tree/main/skills/uvType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add google-deepmind/science-skills --skill uv -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install google-deepmind/science-skills uv --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/uv .agents/skills/uv && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "uv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/uv into .agents/skills/uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google-deepmind/science-skills --skill uv -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install google-deepmind/science-skills uv --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/uv .cursor/skills/uv && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "uv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/uv into .cursor/skills/uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/google-deepmind/science-skills.git --path skills/uv--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add google-deepmind/science-skills --skill uv -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install google-deepmind/science-skills uv --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/uv .gemini/skills/uv && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "uv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/uv into .gemini/skills/uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install google-deepmind/science-skills uvInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add google-deepmind/science-skills --skill uv -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/uv .github/skills/uv && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "uv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/uv into .github/skills/uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google-deepmind/science-skills --skill uv -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install google-deepmind/science-skills uv --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/uv .opencode/skills/uv && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "uv" agent skill from https://github.com/google-deepmind/science-skills/tree/main/skills/uv into .opencode/skills/uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
uv- GitHub stars
- 3.2k
- Used in
- 2 other repos
- Token cost
- ~420 tokens
- SKILL.md length
- 190 words
- Files
- 1
- Skills in repo
- 40
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Checks whether the uv Python package manager is installed and installs it if missing.
- Works in 4 steps: Check if uv is already available: uv… → Check whether uv is installed at its… → If uv is not installed do these steps in… → …
- Another skill requires uv as a prerequisite
- Calls uv, curl and sh; reaches astral.sh
What it does
Uv is an agent skill from google-deepmind/science-skills. Checks whether the uv Python package manager is installed and installs it if missing. Ensures uv is on PATH. Use when another skill requires uv as a prerequisite.
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science. It works with Python, PowerShell and macOS. The repository describes itself as: GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other… The licence is Apache-2.0.
When your agent uses it
- Another skill requires uv as a prerequisite
Example prompts
- “Use the uv skill to check whether the uv Python package manager is installed and installs it if missing”
- “/uv”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Check if uv is already available: uv --version (or & uv --version in
- Check whether uv is installed at its default location but not on PATH
- If uv is not installed do these steps in order
- Add uv to PATH and verify (run as a single command)
What it can do on your machine
Read from SKILL.md and the folder at commit 6883275. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uvcurlsh
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
astral.sh
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Uv loads about 420 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 190 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePipes a well-known installer script into a shellSKILL.md:37
- **Unix/macOS**: `curl -LsSf https://astral.sh/uv/install.sh | sh` - NotePipes a well-known installer script into a shellSKILL.md:39
"irm https://astral.sh/uv/install.ps1 | iex"`
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from google-deepmind/science-skills at commit 6883275, republished under its Apache-2.0 licence (© google-deepmind). 190 words, ~420 tokens.
Download SKILL.mdSave it as
.claude/skills/uv/SKILL.md (or your agent's skills folder).- name
- uv
- description
- Checks whether the uv Python package manager is installed and installs it if missing. Ensures uv is on PATH. Use when another skill requires uv as a prerequisite.
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.
- Unix/macOS:
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
- Unix/macOS:
After setup, bare uv commands should work without repeating the export.
© google-deepmind, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/uv of google-deepmind/science-skills.
Open the folder on GitHubat commit 6883275
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in google-deepmind/science-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Uv next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Uv this skillgoogle-deepmind/science-skills | 3.2k | 2 repos | ~420 | Automated safety check: Notes | Apache-2.0 | |
| Environment SetupNorman-bury/research-writing-skill | 3.3k | — | ~840 | Automated safety check: Pass | MIT | |
| Stata C Pluginsdylantmoore/stata-skill | 291 | 1 repos | ~5.8k | Automated safety check: Pass | Custom licence | |
| Tbtoolsxuzhougeng/wispterm | 440 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Remote Hostslibnativeapi/nativeapi | 157 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Local Asrysyecust/lecture-to-notes | 269 | — | ~1.6k | Automated safety check: Pass | Custom licence |
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Works with
Categories
Questions about Uv
What does Uv do?
Checks whether the uv Python package manager is installed and installs it if missing. Uv is an agent skill from google-deepmind/science-skills. Checks whether the uv Python package manager is installed and installs it if missing.
When should I use Uv?
Uv fits situations like: another skill requires uv as a prerequisite.
How do I install Uv in Claude Code?
Run `npx skills add google-deepmind/science-skills --skill uv -a claude-code`. Or copy the skill folder (skills/uv in google-deepmind/science-skills) into .claude/skills/uv in your project. Claude Code loads it when a task matches its description.
How do I install Uv in Codex?
Run `npx skills add google-deepmind/science-skills --skill uv -a codex`. Or copy the skill folder (skills/uv in google-deepmind/science-skills) into .agents/skills/uv in your project. Codex loads it when a task matches its description.
Can I use Uv in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google-deepmind/science-skills --skill uv -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/uv, .gemini/skills/uv, .github/skills/uv and .opencode/skills/uv in your project.
What does Uv need to run?
Going by SKILL.md and its folder, Uv needs the command-line tools its instructions call (uv, curl and sh). Our summary lists: Python 3.
Does Uv access the network?
SKILL.md names 1 domain. In commands or code: astral.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Uv safe to install?
Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Uv use?
Uv is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Uv use?
About 420 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Uv?
Skills that share tags, products or a category with Uv: Environment Setup (Norman-bury/research-writing-skill, 3.3k stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Tbtools (xuzhougeng/wispterm, 440 stars) and Remote Hosts (libnativeapi/nativeapi, 157 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Uv?
google-deepmind (a GitHub organization) maintains it in google-deepmind/science-skills, which has 3,216 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on September 15, 2026.
Source: google-deepmind/science-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.