What is the recommended Python project structure?

This skill recommends the 'src layout' (src/package_name/) as it prevents accidental imports from the source and ensures cleaner testing environments during development.

Can I use this to build CLI tools?

Absolutely. The skill provides implementation patterns for creating command-line interfaces using both the Click library and the built-in argparse module.

How do I publish my package to PyPI?

The skill includes detailed guides for building wheels locally using the 'build' module and uploading them securely using Twine or automated GitHub Actions.

Does this skill support modern PEP standards?

Yes, it implements modern packaging standards including PEP 517/518 for build systems and PEP 621 for metadata within the pyproject.toml file.

Python Packaging

Name: Python Packaging
Author: 3commas-io

by3commas-io

开发者工具

Streamlines the creation, structuring, and distribution of professional Python packages using modern PEP standards and pyproject.toml configuration.

关于

This skill provides a comprehensive framework for building production-grade Python distributions. It guides users through modern packaging standards like PEP 517 and 621, offering standardized templates for pyproject.toml configuration, source layout architectures, and command-line interface implementation. Whether you are publishing to PyPI, managing private repositories, or setting up automated CI/CD workflows with GitHub Actions, this skill ensures your Python projects are maintainable, installable, and follow industry best practices for versioning and metadata management.

主要功能

Standardized pyproject.toml and project metadata configuration
Automated publishing workflows via GitHub Actions and Twine
Support for multiple layout patterns including src-layout and flat-layout
Command-line interface (CLI) boilerplate for Click and argparse
0 GitHub stars
Advanced patterns for namespace packages and data file inclusion

使用场景

Setting up enterprise-grade private package distributions and namespace projects
Building cross-platform command-line tools with entry points and dependencies
Converting local Python scripts into installable and distributable PyPI libraries

关于

主要功能

Standardized pyproject.toml and project metadata configuration
Automated publishing workflows via GitHub Actions and Twine
Support for multiple layout patterns including src-layout and flat-layout
Command-line interface (CLI) boilerplate for Click and argparse
0 GitHub stars
Advanced patterns for namespace packages and data file inclusion

使用场景

Setting up enterprise-grade private package distributions and namespace projects
Building cross-platform command-line tools with entry points and dependencies
Converting local Python scripts into installable and distributable PyPI libraries