What problem does it solve?
This Skill solves the common pain point of working with scattered, shallow code modules that spread complexity across many small files, making the codebase hard to test, slow to modify, and difficult for both developers and AI tools to navigate. Shallow modules have interfaces nearly as complex as their implementation, leading to duplicated test logic, scattered bug fixes, and slow development velocity.
Core Features & Use Cases
- Deepening Opportunity Identification: Scans your codebase to find shallow modules where consolidating logic into a single deep module would reduce complexity, improve testability, and cut down on duplicated code.
- Context-Aware Recommendations: Uses your project's domain glossary and existing architectural decision records (ADRs) to suggest refactors that align with your team's past decisions and use consistent domain terminology, avoiding generic or conflicting advice.
- Use Case Example: A team struggling with hard-to-test utility functions or fragmented microservice logic can use this Skill to surface refactors that consolidate related behavior into deep modules with clear seams, reducing test maintenance and making the codebase easier to understand.
Quick Start
Request an architecture review of your codebase to identify high-impact refactoring opportunities that deepen shallow modules and improve testability.
