improve-codebase-architecture

Identify architectural issues and suggest refactorings to deepen shallow modules.

34|4|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/redpanda-data/ui-harness --skill improve-codebase-architecture-redpanda-data
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/redpanda-data/ui-harness/tree/main/improve-codebase-architecture
Command: npx skills add https://github.com/redpanda-data/ui-harness --skill improve-codebase-architecture-redpanda-data

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies architectural friction in codebases, suggesting refactorings to deepen shallow modules, improving testability and AI navigability.

Core Features & Use Cases

  • Architectural Review: Surface architectural issues and suggest refactoring opportunities.
  • Deepening Modules: Transform shallow modules into deep ones to improve testability.
  • Use Case: When you want to improve your codebase's architecture, find refactoring opportunities, or consolidate tightly-coupled modules.

Quick Start

Run the improve-codebase-architecture skill to explore architectural improvements in your codebase.

Frequently Asked Questions about improve-codebase-architecture

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

FAQPage Schema
Can I use architectural reviews to find refactoring opportunities in complex codebases?

Yes, you can use architectural reviews to find refactoring opportunities in complex codebases. The review surfaces architectural issues, identifies shallow modules, and suggests strategies to deepen them for improved testability and AI navigability.

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

To identify shallow modules in your codebase, run an architectural review to surface structural friction. This process detects shallow modules and suggests targeted refactorings to deepen them, enhancing overall testability and AI navigability.

What is the best way to improve codebase architecture and testability?

The best way to improve codebase architecture is to identify shallow modules and suggest refactorings that deepen them. Transforming these modules enhances testability, reduces tightly-coupled dependencies, and significantly improves AI navigability.

How do I consolidate tightly-coupled modules to improve code architecture?

To consolidate tightly-coupled modules, perform an architectural review to identify refactoring opportunities. Suggested refactorings will deepen shallow modules, resolving structural friction and improving the overall codebase architecture.

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

You need to refactor code architecture for AI navigability when shallow modules create structural friction. Deepening these modules through suggested refactorings enhances testability and makes the codebase significantly easier for AI to navigate.

Can I use architectural reviews to find refactoring opportunities in complex codebases?

Yes, you can use architectural reviews to find refactoring opportunities in complex codebases. The review surfaces architectural issues, identifies shallow modules, and suggests strategies to deepen them for improved testability and AI navigability.