uv-python

Manage Python packages, virtual environments, and dependency locking with uv.

Updated Jul 5, 2026
One-click install
npx skills add https://github.com/ijindal1/jaunt --skill uv-python-ijindal1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uv-python
Source: https://github.com/ijindal1/jaunt/tree/main/.codex/skills/uv-python
Command: npx skills add https://github.com/ijindal1/jaunt --skill uv-python-ijindal1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines Python dependency management and virtual environment creation using the uv tool, ensuring reproducible and efficient project setups.

Core Features & Use Cases

  • Environment Management: Create and manage Python virtual environments.
  • Dependency Installation: Install, sync, and update project dependencies from various sources (pyproject.toml, requirements.txt).
  • Lockfile Generation: Compile unpinned requirements into lockfiles for deterministic builds.
  • Use Case: Quickly set up a new Python project's dependencies, ensuring all team members use the exact same versions, or migrate an existing project from pip and venv to uv.

Quick Start

Use the uv-python skill to create a virtual environment for the current project.

Frequently Asked Questions about uv-python

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

FAQPage Schema
How do I manage Python dependencies using a pyproject.toml file?

Compile unpinned requirements from a requirements.in file into a locked requirements.txt file. This generates deterministic builds by resolving and freezing exact package versions for consistent project setups.

Can I migrate an existing project from pip and venv to uv for virtual environment management?

Yes, you can migrate existing projects to uv for virtual environment management. The tool creates and manages Python virtual environments, replacing standard pip and venv workflows to ensure efficient and reproducible setups.

What is the best way to create deterministic Python builds with uv.lock files?

Generate deterministic Python builds by utilizing uv.lock files for environment synchronization. This lockfile captures exact resolved dependencies, ensuring all team members use identical package versions across different setups.

Does uv support compiling unpinned requirements into a lockfile?

Yes, uv supports compiling unpinned requirements from files like requirements.in into a lockfile. This dependency locking capability resolves versions deterministically, creating reproducible environments for your Python project.