How does the skill handle code quality?

It integrates Ruff, an extremely fast Python linter and formatter, providing pre-configured rulesets to replace Black, Flake8, and isort.

What are the benefits of using uv over standard pip?

uv is a Rust-based tool that is 10-100x faster than pip. It handles package installation, virtual environment creation, and dependency locking in a single, high-performance utility.

Can I use this for existing projects with requirements.txt?

Yes, the skill includes utilities to compile requirements.txt files or migrate them into a modern uv-managed pyproject.toml structure.

Why is the src layout recommended by this skill?

The src layout prevents accidental imports from the project root and ensures that your tests run against the installed version of your package, mirroring production behavior.

Does this skill support the modern pyproject.toml standard?

Yes, it focuses on pyproject.toml as the central configuration hub for project metadata, dependencies, and tool settings like Ruff and Mypy.

Python Package Management

Name: Python Package Management
Author: JosiahSiegel

byJosiahSiegel

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Developer Tools

Streamlines Python development using high-performance tools like uv and Ruff for dependency management, project configuration, and environment setup.

About

This skill modernizes the Python development lifecycle by implementing industry-standard practices centered around uv and pyproject.toml. It provides automated workflows for lightning-fast package installation, virtual environment management, and robust project structuring using the recommended src layout. By integrating Ruff for linting and formatting, the skill ensures code quality and consistency while drastically reducing the time spent on environment overhead, making it essential for both new project initialization and the maintenance of complex Python ecosystems.

Key Features

High-speed dependency management and locking with uv
Seamless virtual environment and Python version control
Automated pyproject.toml and Ruff configuration
PyPI publishing and distribution preparation
7 GitHub stars
Standardized src layout project structure generation

Use Cases

Migrating legacy pip workflows to high-performance Rust-based tooling
Initializing new Python projects with production-grade scaffolding
Standardizing linting and formatting across team environments

About

Key Features

High-speed dependency management and locking with uv
Seamless virtual environment and Python version control
Automated pyproject.toml and Ruff configuration
PyPI publishing and distribution preparation
7 GitHub stars
Standardized src layout project structure generation

Use Cases

Migrating legacy pip workflows to high-performance Rust-based tooling
Initializing new Python projects with production-grade scaffolding
Standardizing linting and formatting across team environments