python-project-structure

Standardize Python project architecture with src layout and PEP 621/735 dependency management.

Updated Jul 10, 2026

Search Tags:#python #scaffolding #uv #best-practices #project-structure #hatchling

Ready to run

npx skills add https://github.com/gookeryoung/coopie --skill python-project-structure-gookeryoung

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-project-structure
Source: https://github.com/gookeryoung/coopie/tree/main/.trae/skills/python-project-structure
Command: npx skills add https://github.com/gookeryoung/coopie --skill python-project-structure-gookeryoung

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the inconsistency and technical debt in Python project setups by providing a standardized, production-ready blueprint for directory layout, dependency management, and toolchain configuration.

Core Features & Use Cases

Standardized Layout: Implements the src layout to ensure robust testing and packaging.
Toolchain Integration: Provides configurations for modern tools like hatchling, uv, ruff, and pytest.
Use Case: When starting a new library, CLI tool, or web service, use this Skill to generate a structure that includes CI/CD, documentation, and version management out of the box.

Quick Start

Use the python-project-structure skill to initialize a new project directory with the recommended src layout and configuration files.

Frequently Asked Questions about python-project-structure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What is the best way to structure a Python project for maintainability?▼

A standardized Python project structure uses the src layout to ensure robust testing and packaging. It manages dependencies via PEP 621/735 and integrates modular toolchain configurations to eliminate setup inconsistency and technical debt.

How do I initialize a Python CLI tool with hatchling and uv?▼

You initialize a Python CLI tool by generating a project directory with the recommended src layout and configuration files. This provides out-of-the-box integration for modern toolchains like hatchling and uv for dependency management.

Does this Python project structure support automated CI/CD pipelines?▼

Yes, this Python project structure supports automated CI/CD pipelines. It provides configurations for CI/CD, documentation, and standardized versioning workflows out of the box when initializing or refactoring library, CLI, GUI, or web projects.

Why use the src layout for Python packaging instead of a flat directory?▼

You use the src layout for Python packaging to prevent import errors during testing and ensure robust builds. It separates source code from the project root, standardizing directory layouts and maintaining type-safe packaging.

Can I use this scaffolding to refactor an existing Python web service?▼

Yes, you can use this scaffolding to refactor an existing Python web service. The blueprint applies to the initialization and refactoring of library, CLI, GUI, and web projects to ensure consistency and maintainability.

What are the limitations of using uv and hatchling for dependency management?▼

Using uv and hatchling for dependency management requires adherence to PEP 621/735 standards for consistency. The main limitation is the need for modular toolchain configurations to properly support type-safe packaging and standardized versioning workflows.