python-uv

Manage Python projects with uv for initialization, dependencies, and environments.

11|2|Updated Feb 18, 2026

Search Tags:#python #uv #pyproject.toml #project-management #dependency-management #lockfile #virtual-environment

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npx skills add https://github.com/the-perfect-developer/the-perfect-opencode --skill python-uv-the-perfect-developer

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Please help me install this Agent Skill.
Skill: python-uv
Source: https://github.com/the-perfect-developer/the-perfect-opencode/tree/main/.opencode/skills/python-uv
Command: npx skills add https://github.com/the-perfect-developer/the-perfect-opencode --skill python-uv-the-perfect-developer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill simplifies managing Python projects using uv by providing structured workflows for initialization, dependency management, and reproducible environments.

Core Features & Use Cases

Project initialization and configuration with uv init, including pyproject.toml setup and optional environment syncing.
Dependency management with uv add, uv lock, and group-based dependencies for dev and production.
Environment and project hygiene: manages virtual environments, lockfiles, and reproducible builds across teams.

Quick Start

Run uv init to create and configure a new Python project managed by uv.

Frequently Asked Questions about python-uv

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I set up a new Python project with uv and pyproject.toml?▼

To set up a new Python project with uv, run uv init to generate the pyproject.toml file and configure the project structure. This command initializes your project directory and optionally syncs the environment.

What is the best way to manage Python dependencies for dev and production environments?▼

The best way to manage Python dependencies is using uv add to specify packages and group-based dependencies. This separates dev and production requirements, while uv lock ensures reproducible environments across teams.

How does uv lock ensure reproducible Python environments across teams?▼

uv lock ensures reproducible Python environments by generating a uv.lock file that pins exact dependency versions. Running uv sync uses this lockfile to recreate identical virtual environments across different machines.

Can I use uv for virtual environment and lockfile management in existing Python projects?▼

Yes, you can use uv for virtual environment and lockfile management in existing projects. The uv sync command reads your pyproject.toml and uv.lock to install dependencies and configure the environment consistently.

Why should I use uv instead of other Python project management tools for dependency handling?▼

You should use uv for dependency handling because it integrates project initialization, pyproject.toml configuration, and uv.lock generation into a single workflow. It enforces environment consistency and reproducible builds across teams.