improve-codebase-architecture

Identify shallow, tightly-coupled modules in codebases.

9|1|Updated May 13, 2026
One-click install
npx skills add https://github.com/susomejias/rembric --skill improve-codebase-architecture-susomejias
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/susomejias/rembric/tree/main/.agents/skills/improve-codebase-architecture
Command: npx skills add https://github.com/susomejias/rembric --skill improve-codebase-architecture-susomejias

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the friction of maintaining codebases with shallow, tightly-coupled modules that are hard to test, difficult for AI coding agents to navigate, and scatter complexity across multiple call sites instead of concentrating it in deep, leverage-rich modules.

Core Features & Use Cases

  • Deepening opportunity identification: Scans codebases to find shallow modules where interface complexity nearly matches implementation, ideal for consolidation into deep, testable units.
  • Architectural friction surfacing: Highlights tightly-coupled modules, leaked seams, and untestable code paths that reduce maintainability and AI navigability.
  • Use Case: Use this when working on a mid-to-large codebase where refactoring efforts are unprioritized, or when onboarding AI coding agents that struggle to navigate fragmented module structures.

Quick Start

Ask the AI to analyze your codebase and generate an architecture review report with prioritized refactoring opportunities to improve testability and AI navigation.

Frequently Asked Questions about improve-codebase-architecture

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

FAQPage Schema
How do I find refactoring opportunities to improve codebase testability?

To improve codebase testability, you need to identify shallow, tightly-coupled modules and consolidate them into deep units with stable interfaces. This surfaces architectural friction and eliminates redundant wrappers that scatter complexity across call sites.

What is module deepening in software architecture?

Module deepening in software architecture is the process of consolidating implementation behind small, stable interfaces to concentrate complexity. It transforms shallow modules where interface complexity matches implementation into leverage-rich, testable units.

How do I prepare my codebase for AI coding agents?

Preparing codebases for AI coding agents requires enforcing seam discipline and eliminating shallow wrappers to ensure clear module boundaries. This allows agents to navigate fragmented structures without getting lost in tightly-coupled dependencies.

When do I need to prioritize codebase refactoring for mid-to-large projects?

You need to prioritize codebase refactoring for mid-to-large projects when maintainability drops due to tightly-coupled modules and untestable code paths. An architecture review surfaces these deepening opportunities to consolidate scattered complexity.

How do I fix shallow modules that leak seams and reduce maintainability?

Fixing shallow modules that leak seams requires identifying tightly-coupled code paths and consolidating them into deep modules. This enforces seam discipline and hides implementation details behind small, stable interfaces to restore maintainability.

Does codebase architecture analysis work without integrating specific testing frameworks?

Codebase architecture analysis works independently of specific testing frameworks by evaluating structural design rather than executing tests. It identifies tightly-coupled modules and leaked seams that reduce testability and AI navigability.