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.