🎯

uv-python-manager

🎯Skill

from trotsky1997/my-claude-agent-skills

VibeIndex|
What it does

Manages Python packages, virtual environments, and Python versions with lightning-fast performance, replacing multiple traditional Python toolchain utilities.

📦

Part of

trotsky1997/my-claude-agent-skills(4 items)

uv-python-manager

Installation

Install ScriptRun install script
curl -LsSf https://astral.sh/uv/install.sh | sh
uv runRun with uv
uv run --python 3.12 -- python script.py
uv runRun with uv
uv run script.py
uv runRun with uv
uv run --python 3.11 script.py
git cloneClone repository
git clone <repo>

+ 2 more commands

📖 Extracted from docs: trotsky1997/my-claude-agent-skills
2Installs
-
AddedFeb 4, 2026

Skill Details

SKILL.md

Comprehensive guide for using uv, an extremely fast Python package and project manager written in Rust. Use when working with Python projects for (1) Installing and managing Python packages, (2) Creating and managing virtual environments, (3) Installing and switching between Python versions, (4) Running Python scripts with dependency management, (5) Managing Python projects with lockfiles, (6) Replacing pip, pip-tools, pipx, poetry, pyenv, virtualenv workflows, or any Python package management tasks.

Overview

# UV Python Manager

Overview

uv is an extremely fast Python package and project manager that replaces pip, pip-tools, pipx, poetry, pyenv, twine, virtualenv, and more. It provides comprehensive project management with a universal lockfile, runs scripts with inline dependency metadata, and includes a pip-compatible interface.

Installation

Standalone Installer (Recommended)

macOS and Linux:

```bash

curl -LsSf https://astral.sh/uv/install.sh | sh

```

Windows:

```powershell

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

```

Other Methods

  • PyPI: pipx install uv or pip install uv
  • Homebrew: brew install uv
  • WinGet: winget install --id=astral-sh.uv -e
  • Scoop: scoop install main/uv
  • Docker: ghcr.io/astral-sh/uv

Core Capabilities

1. Package Management

Install packages (pip-compatible):

```bash

uv pip install requests

uv pip install -r requirements.txt

uv pip install --editable .

```

List installed packages:

```bash

uv pip list

```

Uninstall packages:

```bash

uv pip uninstall package-name

```

2. Virtual Environment Management

Create a virtual environment:

```bash

uv venv

uv venv .venv

uv venv --python 3.12

```

Activate virtual environment:

  • macOS/Linux: source .venv/bin/activate
  • Windows: .venv\Scripts\activate

Remove virtual environment:

```bash

rm -rf .venv # or rmdir /s .venv on Windows

```

3. Python Version Management

Install Python versions:

```bash

uv python install 3.10 3.11 3.12

uv python install pypy@3.8

```

List installed Python versions:

```bash

uv python list

```

Pin Python version for a project:

```bash

uv python pin 3.11

```

Use specific Python version:

```bash

uv run --python 3.12 -- python script.py

uv venv --python 3.12.0

```

4. Running Scripts

Run Python scripts with automatic dependency resolution:

```bash

uv run script.py

uv run --python 3.11 script.py

```

Run scripts with inline dependencies (in script comments):

```python

# /// script

# requires-python = ">=3.10"

# dependencies = [

# "requests>=2.28.0",

# "click",

# ]

# ///

```

5. Project Management

Initialize a new project:

```bash

uv init my-project

cd my-project

```

Add dependencies to project:

```bash

uv add requests

uv add --dev pytest

uv add "django>=4.0,<5.0"

```

Remove dependencies:

```bash

uv remove requests

```

Sync dependencies (install from lockfile):

```bash

uv sync

```

Update dependencies:

```bash

uv lock --upgrade

```

6. Workspace Support

uv supports Cargo-style workspaces for scalable projects:

```bash

uv init --workspace

```

Common Workflows

Workflow 1: Starting a New Project

```bash

# Initialize project

uv init my-project

cd my-project

# Add dependencies

uv add requests pandas

# Run a script

uv run main.py

```

Workflow 2: Working with Existing Project

```bash

# Clone and setup

git clone

cd

# Install dependencies from lockfile

uv sync

# Run project

uv run main.py

```

Workflow 3: Managing Python Versions

```bash

# Install multiple Python versions

uv python install 3.10 3.11 3.12

# Create venv with specific version

uv venv --python 3.12

# Pin version for project

uv python pin 3.12

```

Workflow 4: Migrating from pip/poetry

From pip:

  • Replace pip install with uv pip install
  • Replace pip freeze > requirements.txt with uv pip compile requirements.in

From poetry:

  • Use uv add instead of poetry add
  • Use uv sync instead of poetry install
  • Lockfile format is compatible

Workflow 5: Running Tools (pipx replacement)

```bash

# Install and run tools

uv tool install black

uv tool run black .

# Or use uvx (if available)

uvx black .

```

Best Practices

  1. Use lockfiles: Always commit uv.lock to version control for reproducible builds
  2. Pin Python versions: Use uv python pin to ensure consistent Python versions across team
  3. Use virtual environments: Always work within a virtual environment for project isolation
  4. Leverage speed: uv is 10-100x faster than pip, use it for all package operations
  5. Workspace for monorepos: Use workspace feature for managing multiple related projects

Docker Integration

Use uv in Docker containers:

```dockerfile

FROM ghcr.io/astral-sh/uv:debian

WORKDIR /app

COPY . .

RUN uv sync

CMD ["uv", "run", "main.py"]

```

Troubleshooting

Issue: Command not found after installation

  • Solution: Add ~/.cargo/bin (or %USERPROFILE%\.cargo\bin on Windows) to PATH

Issue: Python version not found

  • Solution: Use uv python install to install the required version

Issue: Lockfile conflicts

  • Solution: Run uv lock to regenerate lockfile, or uv lock --upgrade to update dependencies

References

For detailed documentation on specific features, see:

General References

  • Advanced package management: See [references/package-management.md](references/package-management.md)
  • Project configuration: See [references/project-config.md](references/project-config.md)
  • Docker usage: See [references/docker.md](references/docker.md)

Command References

  • uv pip: Pip兼容接口 - See [references/commands/uv-pip.md](references/commands/uv-pip.md)
  • uv venv: 虚拟环境管理 - See [references/commands/uv-venv.md](references/commands/uv-venv.md)
  • uv python: Python版本管理 - See [references/commands/uv-python.md](references/commands/uv-python.md)
  • uv run: 运行Python脚本 - See [references/commands/uv-run.md](references/commands/uv-run.md)
  • uv init: 初始化项目 - See [references/commands/uv-init.md](references/commands/uv-init.md)
  • uv add: 添加依赖 - See [references/commands/uv-add.md](references/commands/uv-add.md)
  • uv remove: 移除依赖 - See [references/commands/uv-remove.md](references/commands/uv-remove.md)
  • uv sync: 同步依赖 - See [references/commands/uv-sync.md](references/commands/uv-sync.md)
  • uv lock: 锁文件管理 - See [references/commands/uv-lock.md](references/commands/uv-lock.md)
  • uv build: 构建项目 - See [references/commands/uv-build.md](references/commands/uv-build.md)
  • uv publish: 发布到PyPI - See [references/commands/uv-publish.md](references/commands/uv-publish.md)
  • uv tool: 工具管理 - See [references/commands/uv-tool.md](references/commands/uv-tool.md)