python-env

0xDarkMatter's avatarfrom 0xDarkMatter

Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.

⭐3stars🔀0forks📁View on GitHub🕐Updated Dec 27, 2025

When & Why to Use This Skill

This Claude skill provides high-performance Python environment management powered by uv, offering speeds 10-100x faster than standard pip. It streamlines the creation of virtual environments, dependency installation, and project configuration using pyproject.toml, making it an essential tool for efficient and reproducible Python development workflows.

Use Cases

  • Instant Project Setup: Quickly initialize isolated virtual environments and install core dependencies for new Python projects in seconds.
  • High-Speed Dependency Management: Replace slow pip installations with uv to drastically reduce wait times during package updates and environment builds.
  • Reproducible Environments: Manage complex pyproject.toml configurations and resolve dependency conflicts with advanced backtracking resolution tools.
  • Streamlined Script Execution: Run Python scripts within specific project contexts without manual environment activation using the 'uv run' command.
  • CI/CD Optimization: Accelerate automated testing and deployment pipelines by leveraging uv's extreme installation speed and caching capabilities.
namepython-env
description"Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies."
compatibility"Requires uv CLI tool. Install: curl -LsSf https://astral.sh/uv/install.sh | sh"
allowed-tools"Bash"
depends-on[]
related-skills[]

Python Environment

Fast Python environment management with uv.

Quick Commands

Task Command
Create venv uv venv
Install package uv pip install requests
Install from requirements uv pip install -r requirements.txt
Run script uv run python script.py
Show installed uv pip list

Virtual Environment

# Create venv (instant)
uv venv

# Create with specific Python
uv venv --python 3.11

# Activate (or use uv run)
source .venv/bin/activate  # Unix
.venv\Scripts\activate     # Windows

Package Installation

# Single package
uv pip install requests

# Multiple packages
uv pip install flask sqlalchemy pytest

# With extras
uv pip install "fastapi[all]"

# Version constraints
uv pip install "django>=4.0,<5.0"

# Uninstall
uv pip uninstall requests

Minimal pyproject.toml

[project]
name = "my-project"
version = "0.1.0"
requires-python = ">=3.10"
dependencies = [
    "httpx>=0.25",
    "pydantic>=2.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "ruff>=0.1",
]

Project Setup Checklist

mkdir my-project && cd my-project
uv venv
# Create pyproject.toml
uv pip install -e ".[dev]"
uv pip list

Troubleshooting

Issue Solution
"No Python found" uv python install 3.11
Wrong Python version uv venv --python 3.11
Conflicting deps uv pip compile --resolver=backtracking
Cache issues uv cache clean

When to Use

  • Always use uv over pip for speed
  • Creating virtual environments
  • Installing packages
  • Managing dependencies
  • Running scripts in project context

Additional Resources

For detailed patterns, load:

  • ./references/pyproject-patterns.md - Full pyproject.toml examples, tool configs
  • ./references/dependency-management.md - Lock files, workspaces, private packages
  • ./references/publishing.md - PyPI publishing, versioning, CI/CD

See Also

This is a foundation skill with no prerequisites.

Build on this skill:

  • python-typing-patterns - Type hints for projects
  • python-pytest-patterns - Testing infrastructure
  • python-fastapi-patterns - Web API development