improve-codebase-architecture

Identify shallow modules and suggest refactoring into deep modules.

Updated May 31, 2026
One-click install
npx skills add https://github.com/danielorzeata83-a11y/Abc --skill improve-codebase-architecture-danielorzeata83-a11y
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/danielorzeata83-a11y/Abc/tree/main/.claude/skills/improve-codebase-architecture
Command: npx skills add https://github.com/danielorzeata83-a11y/Abc --skill improve-codebase-architecture-danielorzeata83-a11y

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 opportunities to transform them into deep modules, improving testability and AI navigability.

Core Features & Use Cases

  • Deepening Opportunities: Surface architectural friction and propose refactoring suggestions.
  • Codebase Analysis: Use the Agent tool to explore the codebase and note areas of friction.
  • HTML Report: Generate a self-contained HTML report with visualizations and recommendations.
  • Grilling Loop: Engage in a conversation to refine the design and address concerns.

Quick Start

Run the skill to analyze your codebase and receive a report with deepening opportunities.

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?

Analyzing your codebase structure and interaction patterns identifies shallow modules by surfacing architectural friction. This reveals refactoring opportunities to transform them into deep modules, directly improving testability and AI navigability.

What is a deep module in software architecture?

A deep module in software architecture provides a robust interface with substantial hidden functionality, enhancing testability and AI navigability. Refactoring shallow modules into deep ones reduces architectural friction and improves codebase structure.

How do I use domain language and ADRs to guide codebase refactoring?

Use domain language and Architecture Decision Records to guide refactoring suggestions by aligning code structure with business concepts and historical design decisions. This ensures deepening opportunities improve testability while maintaining domain integrity.

Can I generate a visual report of my codebase's architectural friction?

Yes, you can generate a self-contained HTML report with visualizations and recommendations. This report details the deepening opportunities identified during codebase analysis, providing clear refactoring suggestions for shallow modules.

How do I refine architectural refactoring suggestions through conversation?

You refine architectural refactoring suggestions through a grilling loop, which engages you in a conversational iteration to address design concerns. This ensures deepening opportunities align with your specific testability and AI navigability goals.

Does this approach work for improving AI navigability across my entire codebase?

Yes, by analyzing codebase structure and interaction patterns to identify shallow modules, this approach improves AI navigability across the codebase. Refactoring to deep modules creates a more predictable and accessible architecture for AI tools.