MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Python-Pypi-Package-Builder

Python-Pypi-Package-Builder是一款code方向的AI技能,核心价值是End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetr

Last verified on: 2026-05-30
mkdir -p ./skills/python-pypi-package-builder && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/python-pypi-package-builder/SKILL.md -o ./skills/python-pypi-package-builder/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Python PyPI Package Builder Skill


A complete, battle-tested guide for building, testing, linting, versioning, typing, and

publishing a production-grade Python library to PyPI — from first commit to community-ready

release.


> **AI Agent Instruction:** Read this entire file before writing a single line of code or

> creating any file. Every decision — layout, backend, versioning strategy, patterns, CI —

> has a decision rule here. Follow the decision trees in order. This skill applies to any

> Python package type (utility, SDK, CLI, plugin, data library). Do not skip sections.


---


Quick Navigation


| Section in this file | What it covers |

|---|---|

| [1. Skill Trigger](#1-skill-trigger) | When to load this skill |

| [2. Package Type Decision](#2-package-type-decision) | Identify what you are building |

| [3. Folder Structure Decision](#3-folder-structure-decision) | src/ vs flat vs monorepo |

| [4. Build Backend Decision](#4-build-backend-decision) | setuptools / hatchling / flit / poetry |

| [5. PyPA Packaging Flow](#5-pypa-packaging-flow) | The canonical publish pipeline |

| [6. Project Structure Templates](#6-project-structure-templates) | Full layouts for every option |

| [7. Versioning Strategy](#7-versioning-strategy) | PEP 440, semver, dynamic vs static |


| Reference file | What it covers |

|---|---|

| `references/pyproject-toml.md` | All four backend templates, `setuptools_scm`, `py.typed`, tool configs |

| `references/library-patterns.md` | OOP/SOLID, type hints, core class design, factory, protocols, CLI |

| `references/testing-quality.md` | `conftest.py`, unit/backend/async tests, ruff/mypy/pre-commit |

| `references/ci-publishing.md` | `ci.yml`, `publish.yml`, Trusted Publishing, TestPyPI, CHANGELOG, release checklist |

| `references/community-docs.md` | README, docstrings, CONTRIBUTING, SECURITY, anti-patterns, master checklist |

| `references/architecture-patterns.md` | Backend system (plugin/strategy), config layer, transport layer, CLI, backend injection |

| `references/versioning-strategy.md` | PEP 440, SemVer, pre-release, setuptools_scm deep-dive, flit static, decision engine |

| `references/release-governance.md` | Branch strategy, branch protection, OIDC, tag author validation, prevent invalid tags |

| `references/tooling-ruff.md` | Ruff-only setup (replaces black/isort), mypy config, pre-commit, asyncio_mode=auto |


**Scaffold script:** run `python skills/python-pypi-package-builder/scripts/scaffold.py --name your-package-name`

to generate the entire directory layout, stub files, and `pyproject.toml` in one command.


---


1. Skill Trigger


Load this skill whenever the user wants to:


- Create, scaffold, or publish a Python package or library to PyPI

- Build a pip-installable SDK, utility, CLI tool, or framework extension

- Set up `pyproject.toml`, linting, mypy, pre-commit, or GitHub Actions for a Python project

- Understand versioning (`setuptools_scm`, PEP 440, semver, static versioning)

- Understand PyPA specs: `py.typed`, `MANIFEST.in`, `RECORD`, classifiers

- Publish to PyPI using Trusted Publishing (OIDC) or API tokens

- Refactor an existing package to follow modern Python packaging standards

- Add type hints, protocols, ABCs, or dataclasses to a Python library

- Apply OOP/SOLID design patterns to a Python package

- Choose between build backends (setuptools, hatchling, flit, poetry)


**Also trigger for phrases like:** "build a Python SDK", "publish my library", "set up PyPI CI",

"create a pip package", "how do I publish to PyPI", "pyproject.toml help", "PEP 561 typed",

"setuptools_scm version", "semver Python", "PEP 440", "git tag release", "Trusted Publishing".


---


2. Package Type Decision


Identify what the user is building **before** writing any code. Each type has distinct patterns.


Decision Table


| Type | Core Pattern | Entry Point | Key Deps | Example Packages |

|---|---|---|---|---|

| **Utility library** | Module of pure functions + helpers | Import API only | Minimal |

🎯 Best For

  • QA engineers
  • Developers writing unit tests
  • UI designers
  • Product designers
  • Claude users

💡 Use Cases

  • Generating test cases for edge conditions
  • Writing integration test suites
  • Generating component mockups
  • Creating design system tokens

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Python-Pypi-Package-Builder to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this generate test mocks?

Many testing skills include mock generation. Check the install command and skill content for details.

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is Python-Pypi-Package-Builder compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Python-Pypi-Package-Builder?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Python-Pypi-Package-Builder?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/python-pypi-package-builder/SKILL.md, ready to use.

⚠️ Common Mistakes to Avoid

Not testing edge cases

AI tends to generate happy-path tests. Manually review for boundary conditions.

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

🔗 Related Skills