improve-codebase-architecture

Identify shallow modules and propose refactoring into deep modules.

Updated May 17, 2026
One-click install
npx skills add https://github.com/tanglg/cms --skill improve-codebase-architecture-tanglg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/tanglg/cms/tree/main/.codex/skills/improve-codebase-architecture
Command: npx skills add https://github.com/tanglg/cms --skill improve-codebase-architecture-tanglg

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies shallow modules in a codebase and suggests refactoring them into deep modules to improve testability and AI navigability.

Core Features & Use Cases

  • Module Deepening: Turn shallow modules into deep ones, reducing complexity and increasing testability.
  • Interface Design: Offers guidelines for designing effective interfaces for deepened modules.
  • Testing Strategies: Recommends testing strategies to ensure the effectiveness of deepened modules.
  • Use Case: A developer wants to refactor a complex module with multiple dependencies into a single deep module to improve testing and maintainability.

Quick Start

Analyze the codebase with the improve-codebase-architecture skill and identify potential deepening opportunities.

Frequently Asked Questions about improve-codebase-architecture

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

FAQPage Schema
What is a shallow module in code architecture?

A shallow module handles limited complexity and often has an interface as complex as its implementation. Refactoring shallow modules into deep modules hides complexity behind a simple interface, improving testability and AI navigability.

How do I refactor a complex module to improve testability and maintainability?

To refactor a complex module for better testability, identify shallow modules in your codebase and consolidate multiple dependencies into a single deep module, guided by interface design and testing strategies.

When do I need to deepen my codebase modules?

You need to deepen codebase modules when facing complex software engineering scenarios involving multiple dependencies, poor testability, and high maintenance costs, aiming to reduce complexity by hiding implementation details behind simpler interfaces.

What context is required to analyze code architecture and identify deepening opportunities?

Analyzing codebase architecture requires domain language understanding from a CONTEXT.md file and architecture guidelines from docs/adr/ to accurately identify shallow modules and propose effective refactoring strategies.

How does deep module interface design improve AI navigability?

Deep module interface design improves AI navigability by reducing surface complexity and consolidating multiple dependencies. This simplifies the interaction layer, enabling AI tools to parse and navigate the codebase architecture more effectively.

What are the limitations of refactoring codebase architecture into deep modules?

Refactoring into deep modules requires pre-existing domain language context and architecture decision records. Without accurate domain understanding, proposed deepening opportunities may misrepresent system logic and fail to improve testability.