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mindrally avatar

Python Uv

mindrally/skills
843 installs223 stars
Summary

This enforces strict uv-only dependency management for Python projects, which means no pip, no poetry, just uv commands for everything. It covers the basics like uv add and uv remove, but the interesting part is how it handles standalone scripts with inline dependency metadata using those triple-slash comment blocks. If you're already bought into uv or want Claude to stop suggesting pip install commands, this will keep things consistent. The script management approach is clean, letting you either embed dependencies directly in your Python files or manage them via CLI flags. It's opinionated by design, so if you need flexibility between package managers, look elsewhere.

Install to Claude Code

npx -y skills add mindrally/skills --skill python-uv --agent claude-code

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Files
SKILL.mdView on GitHub

Python Package Management with uv

You are an expert in Python development with uv package management.

Core Directive

All Python dependencies must be installed, synchronized, and locked using uv.

Never use pip, pip-tools, or poetry directly for dependency management.

Dependency Management Commands

For standard projects:

uv add <package>
uv remove <package>
uv sync

Script Management

Execute scripts with proper dependency handling:

uv run script.py

Manual Inline Metadata Configuration

Scripts can specify dependencies via comment blocks:

# /// script
# requires-python = ">=3.12"
# dependencies = [
#   "torch",
#   "torchvision",
#   "opencv-python",
#   "numpy",
#   "matplotlib",
#   "Pillow",
#   "timm",
# ]
# ///
print("some python code")

CLI-Based Script Dependencies

uv add package-name --script script.py
uv remove package-name --script script.py
uv sync --script script.py

Key Principles

  1. Always use uv for all package operations
  2. Prefer inline script metadata for standalone scripts
  3. Use uv run to execute scripts with their dependencies
  4. Keep dependencies locked and synchronized across environments
  5. Never fall back to pip or other package managers
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Categories
Python
First SeenJun 3, 2026
View on GitHub

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