component-boundary-identifier

You can detect circular dependencies and architectural violations by running static code analysis on your Python project. This Skill automatically identifies module boundaries and flags layer violations across layered, hexagonal, and clean architecture patterns.

Module boundary identification detects logical separations between components based on code structure. You need it when refactoring large Python projects to visualize existing dependencies and locate areas where components are too tightly coupled, guiding your refactoring efforts.

Yes, you can use static code analysis to find layer skipping in clean architecture projects. This Skill detects upward dependencies and layer violations by analyzing the dependency direction across common architectural patterns like clean and hexagonal architecture.

Yes, this architectural analysis tool supports detecting violations in hexagonal architecture. It analyzes Python module structure to identify dependency direction issues and component boundary violations specific to hexagonal and clean architectural patterns.

A key limitation is that this static code analysis requires Python scripts for automated analysis and focuses specifically on module structure and dependency direction. It identifies structural violations but does not evaluate runtime behavior or dynamic dependencies.