Python Architecture Tutor

Name: Python Architecture Tutor
Availability: InStock
Author: kchapl

Explain Python project layouts, modules, imports, and architectural layers for beginners.

Updated Sep 21, 2025

Search Tags:#architecture #python #readability #modules #mentoring #project-structure

Ready to run

npx skills add https://github.com/kchapl/book-lamp --skill python-architecture-tutor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Python Architecture Tutor
Source: https://github.com/kchapl/book-lamp/tree/main/.agent/skills/python-tutor
Command: npx skills add https://github.com/kchapl/book-lamp --skill python-architecture-tutor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides beginners in understanding how to structure Python projects and apply architectural patterns, improving readability and maintainability.

Core Features & Use Cases

Project structure guidance: Explain flat vs src layouts, when to use packages, and how to organize modules and tests.
Architectural patterns overview: Describe layers (models/entities, services/logic, adapters/repositories) and where entry points fit (CLI, Flask routes).
Mentoring and learning support: Provide analogy-based explanations, refactoring walkthroughs, and references to PEP 8 and the Zen of Python for best practices.
Use Case: A student assembling a small Python project can apply the guidelines to choose an appropriate layout and naming conventions.

Quick Start

Use the Python Architecture Tutor to outline a beginner-friendly project structure for a small Python tool (e.g., a CLI utility), including a starter folder layout and naming conventions.

Frequently Asked Questions about Python Architecture Tutor

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

FAQPage Schema

How do I structure a Python project for better readability and maintainability?▼

To structure a Python project for readability, separate your code into distinct layers such as models, services, and adapters. Following PEP 8 and the Zen of Python ensures your modules and imports remain clear and maintainable as the project grows.

What is the difference between flat and src layouts in Python?▼

Flat and src layouts are Python project structuring approaches. A flat layout places modules at the root, while a src layout isolates them in a src directory, preventing import errors during testing and ensuring cleaner dependency management for your project.

How do I organize Python modules and entry points for a CLI utility?▼

To organize Python modules for a CLI utility, group your core logic into service layers and data structures into models. Define your CLI entry points separately to keep the application surface clear and ensure smooth module imports.

When should I use packages instead of flat modules in Python?▼

You should use Python packages instead of flat modules when your project scales beyond a few scripts. Packages help group related modules, enforce logical layering, and prevent namespace collisions, which is essential for maintaining a clean project structure.

What are the best architectural patterns for beginner Python projects?▼

Beginner Python projects benefit from layered architectural patterns that separate models, services, and adapters. This approach isolates business logic from data access and entry points like Flask routes, improving readability and making refactoring significantly easier.

Can I use this Python architecture guidance for mentoring sessions?▼

Yes, you can use this Python architecture guidance for mentoring sessions. It provides analogy-based explanations and refactoring walkthroughs to help beginners understand project layouts, imports, and layering concepts effectively.