Does this skill support the latest Python packaging standards?

Yes, it is designed around PEP 517, 518, and 621, which establish the modern standard for build systems and project metadata in Python.

Can I use this skill to publish to private package repositories?

Absolutely. While it includes PyPI patterns, the configuration guides for pyproject.toml and twine are applicable to private registries like JFrog, AWS CodeArtifact, or Azure Artifacts.

How does this skill handle command-line interfaces (CLI)?

It provides specific patterns for registering scripts in your metadata and implementing the logic using popular libraries like Click or the standard argparse module.

Why is the 'src' layout recommended over the flat layout?

The src layout prevents accidental imports of the package from the current working directory, ensuring that you are testing the actual installed version of your package and avoiding common development environment conflicts.

Python Packaging Assistant

Name: Python Packaging Assistant
Author: Tahir-yamin

byTahir-yamin

•

开发者工具

Streamlines the creation, structuring, and distribution of Python packages using modern standards like PEP 621 and pyproject.toml.

关于

The Python Packaging skill provides a standardized framework for building professional-grade Python libraries and command-line tools. It guides developers through the complexities of modern packaging, moving away from legacy setup.py files toward PEP-compliant pyproject.toml configurations. Whether you are setting up a source-layout project, implementing dynamic versioning with git, or automating your release pipeline via GitHub Actions to PyPI, this skill ensures your packages are correctly structured, easily installable, and ready for public or private distribution.

主要功能

Standardized pyproject.toml configuration using PEP 621 metadata
Source layout implementation for cleaner builds and testing isolation
3 GitHub stars
CLI tool registration via project scripts and entry points
Automated CI/CD workflows for publishing to PyPI and TestPyPI
Support for modern build backends including setuptools, hatchling, and flit

使用场景

Transforming local scripts into distributable libraries with managed dependencies
Building and distributing multi-command CLI tools with proper entry point mapping
Modernizing legacy Python projects by migrating to pyproject.toml standards

关于

主要功能

Standardized pyproject.toml configuration using PEP 621 metadata
Source layout implementation for cleaner builds and testing isolation
3 GitHub stars
CLI tool registration via project scripts and entry points
Automated CI/CD workflows for publishing to PyPI and TestPyPI
Support for modern build backends including setuptools, hatchling, and flit

使用场景

Transforming local scripts into distributable libraries with managed dependencies
Building and distributing multi-command CLI tools with proper entry point mapping
Modernizing legacy Python projects by migrating to pyproject.toml standards