Can I use this with existing projects?

Yes, this skill is designed both for initializing new projects and for modernizing existing ones to use pyproject.toml and modern linting/testing tools.

Why does this skill use the src/ layout?

The src/ layout is a best practice that prevents accidental imports of development code, ensuring your tests run against the installed package rather than the local directory.

Does it support CI/CD?

Yes, it provides automated setup for GitHub Actions to ensure your code is tested and linted on every push.

Which tools are included by default?

The skill configures Ruff for linting and formatting, Pytest for testing, Mypy for type checking, and pre-commit for automated git hooks.

Professional Python Project Setup

Name: Professional Python Project Setup
Author: wdm0006

bywdm0006

Deployment & DevOps

Automates the creation and modernization of Python library projects using industry-standard tooling and best practices.

About

This skill streamlines the initialization and configuration of Python libraries by implementing a modern 'src' layout and standardizing essential development tools. It guides users through setting up pyproject.toml, configuring Ruff for linting and formatting, implementing Pytest for testing, and establishing CI/CD pipelines via GitHub Actions. It is an essential tool for developers looking to start new projects with a robust foundation or modernize legacy repositories to meet current Python ecosystem standards.

Key Features

0 GitHub stars
Comprehensive pyproject.toml configuration using modern standards
Turnkey setup for Ruff, Pytest, and Mypy
Makefile automation for common development tasks
Automated project structure generation with src/ layout
Pre-configured GitHub Actions CI/CD and pre-commit hooks

Use Cases

Initializing a new open-source Python library with professional standards
Adding standardized linting, formatting, and CI pipelines to an existing codebase
Migrating a legacy project from setup.py to pyproject.toml and modern tooling

About

Key Features

0 GitHub stars
Comprehensive pyproject.toml configuration using modern standards
Turnkey setup for Ruff, Pytest, and Mypy
Makefile automation for common development tasks
Automated project structure generation with src/ layout
Pre-configured GitHub Actions CI/CD and pre-commit hooks

Use Cases

Initializing a new open-source Python library with professional standards
Adding standardized linting, formatting, and CI pipelines to an existing codebase
Migrating a legacy project from setup.py to pyproject.toml and modern tooling