python-architect

Guide Python library design, structure, and review with SOLID principles.

38|10|Updated Oct 29, 2025

Search Tags:#architecture #code review #best practices #api design #python #library design

Ready to run

npx skills add https://github.com/maxvaega/awesome-skills --skill python-architect-maxvaega

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

This skill addresses the complexity of building maintainable, scalable, and professional-grade Python libraries by providing a structured architectural framework that prevents common design pitfalls and technical debt.

Core Features & Use Cases

Architectural Guidance: Provides expert-level advice on package structure, API design, and SOLID principles.
Standardization: Offers templates and checklists for pyproject.toml, documentation, and testing strategies to ensure production readiness.
Use Case: When starting a new library, use this skill to scaffold the project with a src/ layout, define a robust exception hierarchy, and establish a testing strategy that ensures >90% coverage for public APIs.

Quick Start

Use the python-architect skill to review my current project structure and suggest improvements for better maintainability.

Frequently Asked Questions about python-architect

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

FAQPage Schema

How do I design a production-grade Python library structure?▼

Design a production-grade Python library by applying a src/ layout, robust exception hierarchy, and SOLID principles. This provides expert architectural guidance to ensure long-term maintainability and prevent common design pitfalls.

What is the best way to scaffold pyproject.toml and testing strategies for a Python package?▼

The best way to scaffold pyproject.toml and testing strategies is using standardized templates and checklists that ensure production readiness and achieve >90% coverage for public APIs.

How does SOLID principles application improve Python API design?▼

Applying SOLID principles improves Python API design by facilitating decision-making regarding package organization and adherence to PEP standards, ensuring long-term maintainability and a superior developer experience.

Can I review my existing Python project structure for maintainability improvements?▼

Yes, you can review an existing Python project structure for maintainability improvements. The skill evaluates your current package organization and suggests architectural changes to enhance long-term scalability.

When do I need to establish an exception hierarchy for a Python library?▼

You need to establish an exception hierarchy when starting a new Python library to prevent technical debt. Defining a robust exception hierarchy early ensures production readiness and professional-grade error handling.

What are the limitations of standardizing Python library packaging without architectural guidance?▼

Without architectural guidance, standardizing Python library packaging often leads to common design pitfalls and technical debt. Relying solely on basic packaging misses SOLID principles application and structured API design needed for maintainability.