improve-codebase-architecture

Analyze codebases to identify shallow modules and suggest refactoring paths.

13|3|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/libz-renlab-ai/TeamBrain --skill improve-codebase-architecture-libz-renlab-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/libz-renlab-ai/TeamBrain/tree/main/.claude/skills/improve-codebase-architecture
Command: npx skills add https://github.com/libz-renlab-ai/TeamBrain --skill improve-codebase-architecture-libz-renlab-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill identifies opportunities to deepen modules within a codebase, enhancing testability and AI-navigability by revealing effective refactoring paths.

Core Features & Use Cases

  • Identify shallow modules: Detect modules with overly complex interfaces relative to their implementation.
  • Suggest deepening opportunities: Propose refactors to turn shallow modules into deep, leverage-rich components.
  • Use Case: When maintaining a large codebase, developers can pinpoint minimal interfaces hiding complex logic and plan targeted refactorings to improve quality.

Quick Start

Use the improve-codebase-architecture skill to analyze your project and receive recommendations for architectural refinements.

Frequently Asked Questions about improve-codebase-architecture

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

FAQPage Schema
How do I identify shallow modules in my codebase for refactoring?

Codebase architecture analysis detects shallow modules by evaluating interface complexity relative to implementation. It reveals refactoring paths that enhance testability and AI-navigability through deepening and seam identification.

What is a deep module in software architecture and why does it matter?

A deep module in software architecture hides complex implementation behind a minimal, simple interface. Deepening shallow modules improves testability and AI-navigability, turning them into leverage-rich components for better maintainability.

How do I improve codebase testability using architectural seams?

Improve codebase testability by analyzing internal and external seams. This Skill pinpoints shallow modules and suggests refactoring opportunities that leverage language vocabulary to create better test boundaries and AI-navigability.

Can I analyze a large codebase for architectural improvements without specific dependencies?

Yes, you can analyze a large codebase for architectural improvements without dependencies. This Skill operates independently to evaluate module depth, identify internal and external seams, and suggest targeted refactoring paths.

When should I refactor shallow modules to improve AI-navigability?

Refactor shallow modules to improve AI-navigability when maintaining a large codebase that requires better testability. You should target modules hiding complex logic behind minimal interfaces to achieve architectural clarity through deep design.