pac-uv

Run Python scripts, add dependencies, and validate syntax with uv.

2|1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/ladislas/mypac --skill pac-uv
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pac-uv
Source: https://github.com/ladislas/mypac/tree/main/skills/pac-uv
Command: npx skills add https://github.com/ladislas/mypac --skill pac-uv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The uv workflow tool simplifies Python script execution, dependency management, and environment handling by replacing manual pip/python/venv steps with a cohesive workflow.

Core Features & Use Cases

  • Run Python scripts with uv, including ad-hoc dependencies
  • Create scripts with inline metadata for reproducible runs
  • Validate syntax and manage project dependencies in a repeatable way

Quick Start

Run your Python scripts with uv, manage dependencies, and create scripts with inline metadata.

Frequently Asked Questions about pac-uv

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

FAQPage Schema
How do I run Python scripts with ad-hoc dependencies using uv?

Run Python scripts with ad-hoc dependencies using uv by executing uv run --with to resolve packages on the fly. This automates dependency resolution without requiring manual pip installs or virtual environment activation for reproducible execution.

How do I create Python scripts with inline metadata for reproducible runs?

Create Python scripts with inline metadata by running uv init --script. This embeds dependency and environment requirements directly in the file, ensuring reproducible execution workflows without external configuration files.

Can I validate Python syntax with uv without generating __pycache__?

Yes, you can validate Python syntax with uv without generating __pycache__ directories. This workflow replaces manual pip and venv steps, allowing repeatable syntax checks and project dependency management in a clean environment.

What is the best way to manage local Python project dependencies and environments?

The best way to manage local Python project dependencies is using uv to automate environment handling and script execution. It replaces manual pip, python, and venv commands with a cohesive, repeatable workflow for development tasks.

Does uv support automation tasks for local Python development?

Yes, uv supports automation tasks for local Python development by streamlining script execution, dependency management, and environment handling. It applies to running scripts with optional dependencies and validating syntax in automated workflows.