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improve-codebase-architecture

Detects shallow, tightly-coupled modules and generates visual HTML refactoring reports.

Updated May 5, 2026
Search Tags:#software design#architecture review#module deepening#codebase refactoring#testability improvement#AI code navigation#technical debt reduction
One-click install
npx skills add https://github.com/ethan-rio/skills --skill improve-codebase-architecture-ethan-rio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/ethan-rio/skills/tree/main/skills/engineering/improve-codebase-architecture
Command: npx skills add https://github.com/ethan-rio/skills --skill improve-codebase-architecture-ethan-rio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the friction of working with codebases that have shallow, tightly-coupled modules, which are hard to test, slow to modify, and confusing for both human developers and AI coding agents to navigate and understand.

Core Features & Use Cases

  • Shallow Module Detection: Automatically identifies modules where the interface is nearly as complex as the implementation, a key sign of unnecessary coupling and low leverage.
  • Deepening Refactor Proposals: Suggests concrete refactors to consolidate shallow modules into deep, cohesive units with small, high-leverage interfaces.
  • Visual Architecture Reports: Generates self-contained HTML reports with before/after diagrams to clearly communicate architectural improvements to stakeholders.
  • Use Case: For example, if your e-commerce order processing logic is split across 5 small modules that each pass data to the next, this Skill will flag the opportunity to collapse them into a single deep order module, cutting test duplication and making bug fixes far easier to locate.

Quick Start

Ask the AI to analyze your project's codebase and generate a visual report of the top 3 highest-impact deepening refactors, aligned with your project's existing domain language and architectural decisions.

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?▼

Shallow module detection works by automatically identifying software design patterns where the interface complexity nearly matches the implementation, signaling unnecessary coupling. This analysis flags tightly-coupled modules that create maintenance friction and reduce testability for codebase refactoring.

What is the best way to improve codebase testability and reduce technical debt?▼

Improving testability involves applying deepening refactor proposals that consolidate shallow modules into cohesive units with small, high-leverage interfaces. This architecture review approach reduces test duplication and cuts technical debt by aligning modules with domain language.

How does codebase refactoring improve AI code navigation for developers?▼

Codebase refactoring improves AI code navigation by collapsing scattered logic into deep, cohesive modules that AI coding agents can easily parse. Eliminating shallow, tightly-coupled modules removes navigational confusion, allowing AI agents to understand project code architecture and locate bug fixes faster.

Can I generate visual architecture reports for software design reviews?▼

You can generate visual architecture reports as self-contained HTML documents featuring before and after diagrams of deepening opportunities. These reports communicate architectural decision records and proposed refactors to stakeholders clearly without requiring external viewing tools.

Does this codebase refactoring approach align with existing architectural decision records?▼

Yes, the architecture review process aligns deepening refactor proposals with your project's existing domain language and architectural decision records. This ensures that suggested module consolidation respects current software design constraints and maintains technical continuity.

When should I not use module deepening for architecture review?▼

Module deepening during architecture review may be unsuitable if your codebase lacks sufficient test coverage to validate consolidation safely, or if shallow modules exist to enforce strict security boundaries where tight coupling is intentionally designed for isolation.

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