astral-uv
Fast Python package and project management using Astral's uv. Use when installing packages, managing virtual environments, running Python scripts, or initializing Python projects. Triggers on: pyproject.toml, requirements.txt, Python dependency discussions, virtual environment setup.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install benchflow-ai-skillsbench-astral-uv
Repository
Skill path: registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_modernize-scientific-stack/environment/skills/astral-uv
Fast Python package and project management using Astral's uv. Use when installing packages, managing virtual environments, running Python scripts, or initializing Python projects. Triggers on: pyproject.toml, requirements.txt, Python dependency discussions, virtual environment setup.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: MIT.
Original source
Catalog source: SkillHub Club.
Repository owner: benchflow-ai.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install astral-uv into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/benchflow-ai/SkillsBench before adding astral-uv to shared team environments
- Use astral-uv for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
--- name: astral-uv description: > Fast Python package and project management using Astral's uv. Use when installing packages, managing virtual environments, running Python scripts, or initializing Python projects. Triggers on: pyproject.toml, requirements.txt, Python dependency discussions, virtual environment setup. license: MIT metadata: author: Ian version: "1.0" --- # Astral UV UV is an extremely fast Python package installer and resolver written in Rust. ## Quick Reference | Task | Command | |------|---------| | Create venv | `uv venv` | | Install package | `uv pip install <pkg>` | | Add dependency | `uv add <pkg>` | | Run script | `uv run <script.py>` | | Sync dependencies | `uv sync` | | Init project | `uv init` | ## Project Management Initialize a new project: ```bash uv init my-project cd my-project ``` Add dependencies (updates pyproject.toml automatically): ```bash uv add requests httpx uv add --dev pytest ruff ``` Sync environment with lockfile: ```bash uv sync ``` ## Running Code Run scripts without manual venv activation: ```bash uv run python script.py uv run pytest uv run ruff check . ``` Run with inline dependencies: ```bash uv run --with requests script.py ``` ## Virtual Environments ```bash uv venv # Create .venv uv venv --python 3.12 # Specific Python version ``` ## pip Interface Drop-in pip replacement (10-100x faster): ```bash uv pip install requests uv pip install -r requirements.txt uv pip compile requirements.in -o requirements.txt ``` ## Python Version Management ```bash uv python install 3.12 # Install Python version uv python list # Show available versions uv python pin 3.12 # Pin version for project ``` ## Best Practices 1. Prefer `uv add` over `uv pip install` for project dependencies 2. Use `uv run` instead of activating venvs manually 3. Commit `uv.lock` to version control 4. Use `uv sync --frozen` in CI for reproducible builds 5. Add dev dependencies with `uv add --dev`