mtpk-improve-codebase-architecture

You can identify shallow modules by analyzing your codebase architecture to detect interfaces that are nearly as complex as their implementations. This Skill automates that detection and proposes specific refactorings to deepen those modules.

A deep module features a simple interface that conceals complex implementation logic. Deepening shallow modules improves testability by reducing interface surface area and enhances AI navigability by providing clearer architectural boundaries.

You improve codebase architecture for AI navigability by using this Skill to identify and refactor shallow modules into deep ones. It generates an interactive HTML report detailing interface design suggestions and deepening opportunities for your project.

Yes, Python is required to analyze codebase architecture and generate deepening reports. The Skill operates within your project's domain model context, using Python to execute the analysis and produce the interactive HTML report.

Yes, you can explore alternative interface designs when refactoring shallow modules. This Skill uses a parallel sub-agent pattern to explore interface design options for deepened modules, operating within your project's architecture language.