manage-python-env

What problem does it solve?

This Skill provides a concise, practical guide to managing Python environments and package dependencies with UV, reducing setup time and token usage for project bootstrapping.

Core Features & Use Cases

• Installation & Verification: Install UV and verify its version to ensure a consistent toolchain.
• Project Bootstrap: Initialize a project, optionally pin a Python version, and create a portable structure.
• Environment & Dependency Workflows: Create and activate virtual environments, manage packages, lock dependencies, and export requirements for reproducibility.
• Use Case: Onboard a new data science project quickly and share a repeatable setup with teammates.

Quick Start

uv init my-project uv venv source .venv/bin/activate uv add numpy pandas uv lock uv export --format requirements-txt > requirements.txt