Why use uv instead of pip or venv?

uv is significantly faster than pip and provides a unified interface for dependency resolution, virtual environment management, and tool execution in a single binary.

Does this skill support Poetry or Pipenv?

No, this specific skill is designed to enforce a uv-only workflow to maintain project simplicity and performance, flagging other managers as red flags.

Can I run tools like pytest and ruff directly?

The skill recommends running these via 'uv run ' to ensure they are executed within the context of the project's specific virtual environment.

How does this skill ensure CI/CD consistency?

It mandates the use of uv.lock and commands like 'uv sync --frozen' to ensure the exact same environment is reproduced across all development and deployment stages.

Python uv Toolchain

Name: Python uv Toolchain
Author: gakonst

bygakonst

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Developer Tools

Standardizes Python development workflows using the uv package manager for high-performance environment, dependency, and execution management.

About

This skill enforces a modern, high-performance Python workflow centered around the uv package manager. It eliminates fragmented tooling like pip, venv, and pip-tools in favor of a unified approach to dependency resolution, environment management, and command execution. By integrating tightly with ruff, mypy, and pytest, it ensures absolute consistency between local development environments and CI/CD pipelines, providing a fast, reproducible, and clean environment for any Python project.

Key Features

Automated linting and formatting parity using Ruff and Mypy
Strict prevention of global site-package pollution and legacy pip usage
CI-aligned synchronization using frozen lockfiles
Comprehensive uv integration for ultra-fast dependency resolution
12 GitHub stars
Standardized command execution via uv run for environment isolation

Use Cases

Migrating legacy pip/venv projects to a unified uv workflow
Setting up new Python projects with a modern, high-speed toolchain
Ensuring dev-to-production environment parity for consistent test results

About

Key Features

Automated linting and formatting parity using Ruff and Mypy
Strict prevention of global site-package pollution and legacy pip usage
CI-aligned synchronization using frozen lockfiles
Comprehensive uv integration for ultra-fast dependency resolution
12 GitHub stars
Standardized command execution via uv run for environment isolation

Use Cases

Migrating legacy pip/venv projects to a unified uv workflow
Setting up new Python projects with a modern, high-speed toolchain
Ensuring dev-to-production environment parity for consistent test results