使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/google-deepmind/science-skills --skill uv开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
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, uv is 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.
