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.