do-improve-codebase-architecture

Identify shallow modules and suggest refactoring them into deeper ones.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/purefunctions/my-agent-config --skill do-improve-codebase-architecture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: do-improve-codebase-architecture
Source: https://github.com/purefunctions/my-agent-config/tree/main/skills/skills/do-improve-codebase-architecture
Command: npx skills add https://github.com/purefunctions/my-agent-config --skill do-improve-codebase-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies opportunities to deepen the architecture of a codebase, improving its testability and AI navigability by consolidating tightly-coupled modules and refactoring shallow ones.

Core Features & Use Cases

  • Codebase Deepening: Identifies shallow modules and suggests refactoring them into deeper, more cohesive ones.
  • Testability and AI Navigability: Increases the modularity and clarity of the code, making it easier to test and understand by AI systems.
  • Use Case: When reviewing a codebase for architecture improvements, use this Skill to uncover potential refactoring opportunities and enhance the codebase's overall design.

Quick Start

Analyze the architecture of your codebase with the 'do-improve-codebase-architecture' skill.

Frequently Asked Questions about do-improve-codebase-architecture

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

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

To identify shallow modules for refactoring, analyze the codebase architecture to find tightly-coupled components. This skill evaluates your codebase to detect these shallow modules and suggests consolidating them into deeper, more cohesive structures.

What is codebase deepening and how does it improve testability?

Codebase deepening is the process of refactoring shallow modules into deeper, more cohesive ones. By consolidating tightly-coupled components, codebase deepening improves modularity and clarity, which directly enhances overall testability and AI navigability.

When do I need to refactor codebase architecture for AI navigability?

You need to refactor codebase architecture for AI navigability when your code lacks modularity and clarity. If AI systems struggle to understand or navigate tightly-coupled modules, this skill identifies refactoring opportunities to deepen the architecture and resolve these issues.

Can I use this approach to consolidate tightly-coupled modules in any codebase?

Yes, you can use this approach to consolidate tightly-coupled modules in any codebase requiring architectural improvements. The process focuses on refactoring shallow modules into deeper ones to enhance testability and AI navigability across applicable codebases.

What's the best way to review a codebase for architecture improvements?

The best way to review a codebase for architecture improvements is to analyze it for shallow modules and tightly-coupled components. This skill uncovers refactoring opportunities by suggesting transformations into deeper modules, enhancing modularity and clarity.

Why does refactoring shallow modules enhance codebase architecture?

Refactoring shallow modules enhances codebase architecture because it consolidates tightly-coupled components into deeper, more cohesive structures. This deepening process increases modularity and clarity, which are essential for maintaining high testability and AI navigability.