python-architect

Generate Python architecture with protocols, test stubs, and module structure.

6|Updated Jan 27, 2026

Search Tags:#design #testing #architecture #mermaid #python #protocols

Ready to run

npx skills add https://github.com/DmitriyYukhanov/claude-plugins --skill python-architect

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-architect
Source: https://github.com/DmitriyYukhanov/claude-plugins/tree/main/plugins/python-dev/skills/python-architect
Command: npx skills add https://github.com/DmitriyYukhanov/claude-plugins --skill python-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of high-level Python architecture, including protocols, test stubs, and module structure, ensuring clean, testable, and maintainable codebases.

Core Features & Use Cases

Architecture Design: Generates protocols, test stubs, and module structures for Python projects.
Guideline Adherence: Follows Python best practices, including type hints and dependency injection.
Diagram Generation: Creates Mermaid diagrams for module structure and data flow.
Use Case: Kickstart a new Python microservice by defining its core interfaces, initial test structure, and package layout.

Quick Start

Use the python-architect skill to design the architecture for a new user authentication service.

Frequently Asked Questions about python-architect

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

FAQPage Schema

How do I design Python architecture with protocols and test stubs?▼

You can generate high-level Python architecture by producing protocols, test stubs, and module structures. This automates adherence to clean code practices, dependency injection, and clear component definition through generated code and diagrams.

What is the best way to structure a new Python microservice for testability?▼

The best way to structure a testable Python microservice is to define core protocols, initial test stubs, and package layout upfront. This ensures dependency injection and clean component separation before implementation begins.

Can I generate Mermaid diagrams for Python module structure and data flow?▼

Yes, you can generate Mermaid diagrams for Python module structure and data flow. The architecture design process creates these visual representations alongside protocols and test stubs to clarify component relationships and data directions.

Does Python architecture generation support dependency injection and type hints?▼

Yes, Python architecture generation supports dependency injection and type hints by adhering to project-local best practices. It defines protocols and test stubs that enforce clean code standards and clear component interfaces.

When do I need to generate protocols and module structures for a Python project?▼

You need to generate protocols and module structures during the design phase of new Python projects or features. This upfront architecture generation establishes testability, dependency injection boundaries, and clear component definitions before writing implementation code.