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improve-codebase-architecture

Identify shallow modules to deepen for improved testability and AI navigability.

2|Updated Sep 23, 2025
Search Tags:#architecture#refactoring#testability#code-quality#architecture-review#design-analysis
One-click install
npx skills add https://github.com/tonysyu/gqlxp --skill improve-codebase-architecture-tonysyu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/tonysyu/gqlxp/tree/main/.claude/skills/improve-architecture
Command: npx skills add https://github.com/tonysyu/gqlxp --skill improve-codebase-architecture-tonysyu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify opportunities to deepen shallow modules to improve testability and AI navigability of a codebase.

Core Features & Use Cases

  • Deepen interfaces: reduce surface area while expanding testability.
  • Surface friction: surface architectural chokepoints and tightly-coupled modules.
  • Guided refactoring: produce boundary-focused refactor plans with testing considerations.
  • AI-navigable code: improve discoverability for AI-assisted exploration.

Quick Start

Ask the Agent to explore the target codebase and surface opportunities to deepen shallow modules for improved testability.

Frequently Asked Questions about improve-codebase-architecture

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

FAQPage Schema
How do I find shallow modules in my codebase that hurt testability?▼

An architecture review surfaces architectural friction and tightly-coupled modules to identify opportunities to deepen shallow interfaces. This reduces surface area while expanding testability, making the codebase easier to test and navigate.

What is the best way to plan a refactoring focused on code quality and testability?▼

The best way to plan a testability refactoring is using a structured workflow that surfaces friction and proposes deepening opportunities. This produces boundary-focused refactor plans with explicit testing considerations for improved code quality.

How does deepening module architecture improve AI navigability of a codebase?▼

Deepening module architecture improves AI navigability by reducing surface area and consolidating tightly-coupled modules. This enhances discoverability for AI-assisted exploration, making it easier for agents to understand and navigate code structure.

Can I use an architecture review to surface tightly-coupled modules during a codebase audit?▼

Yes, you can use an architecture review during a codebase audit to surface tightly-coupled modules. The process identifies architectural chokepoints and friction, providing actionable refactor plans to consolidate and deepen shallow modules.

When should I not use a deepening approach for architecture refactoring?▼

You should avoid a deepening approach when your modules are already well-encapsulated with minimal surface area. Deepening targets shallow modules and tightly-coupled architectural friction, so it offers little value if boundaries are already clean and testable.

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