improve-codebase-architecture

To identify shallow modules in your codebase for refactoring, analyze areas where the interface complexity nearly matches the implementation complexity. This skill detects those modules and suggests deepening refactors to improve overall testability and maintainability.

A deep module in code architecture provides a substantial functionality through a simple interface, unlike shallow modules. Deepening modules matters because it enhances testability, maintainability, and AI navigability by hiding implementation complexity behind a clean interface.

You can improve code architecture testability by consolidating tightly-coupled modules and deepening shallow ones. This skill analyzes your codebase's module depth and complexity to suggest specific refactoring opportunities that enhance overall testability.

Yes, this codebase architecture analysis requires understanding the project's domain language. It uses the domain language to ensure accurate architecture discussions and correctly identify refactoring opportunities within the specific context of your codebase.

Yes, you can use this skill to improve AI navigability across your codebase. By identifying shallow modules and suggesting deepening refactors, it optimizes the architecture structure making the codebase easier for AI tools to navigate and understand.

The limitations of analyzing codebase architecture for deepening opportunities include the prerequisite of understanding the project's domain language and architecture. Without this domain context, the skill cannot accurately identify refactoring opportunities or suggest appropriate module deepening strategies.