architecture-validator

Validate Python project dependency flow against Clean Architecture layers.

3|Updated Nov 4, 2022
One-click install
npx skills add https://github.com/dousu/maou --skill architecture-validator-dousu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: architecture-validator
Source: https://github.com/dousu/maou/tree/main/.claude/skills/architecture-validator
Command: npx skills add https://github.com/dousu/maou --skill architecture-validator-dousu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures your codebase adheres to strict Clean Architecture principles, preventing architectural decay and maintaining a well-organized, maintainable project structure.

Core Features & Use Cases

  • Dependency Flow Verification: Validates the unidirectional dependency flow (infra → interface → app → domain).
  • Module Organization Analysis: Checks if modules are correctly placed within their designated layers.
  • Layer Separation Checks: Ensures strict separation between domain, app, interface, and infrastructure layers.
  • Circular Dependency Detection: Identifies and flags any circular dependencies that violate architectural rules.
  • Use Case: Before merging a pull request, run this Skill to automatically verify that new code doesn't introduce architectural violations, ensuring long-term project health.

Quick Start

Run the architecture validator to check the current codebase for Clean Architecture compliance.

Frequently Asked Questions about architecture-validator

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

FAQPage Schema
How do I check for circular dependencies in a Python project?

To check for circular dependencies in a Python project, this Skill analyzes module organization and flags any circular references that violate unidirectional dependency flow rules.

How does clean architecture dependency flow verification work for Python?

Clean architecture dependency flow verification works by validating the unidirectional flow from infrastructure to interface, app, and domain layers, ensuring strict separation between modules.

Can I enforce layer separation in my Python codebase before merging a pull request?

Yes, you can enforce layer separation in your Python codebase by running this validator before merging a pull request to automatically verify new code doesn't introduce architectural violations.

What is the best way to prevent architectural decay in a Python project?

The best way to prevent architectural decay in a Python project is to enforce strict clean architecture principles, checking module organization and layer separation to maintain maintainability and scalability.

Does this architecture validator work with unidirectional dependency flow from infrastructure to domain layers?

Yes, this architecture validator works specifically with unidirectional dependency flow from infrastructure to domain layers, analyzing module organization to ensure adherence to architectural principles.

Why should I use clean architecture rules for my Python project?

You should use clean architecture rules for your Python project to ensure strict separation between domain, app, interface, and infrastructure layers, preventing architectural decay and maintaining well-organized structure.