improve-codebase-architecture

Identify shallow modules and propose seams for deepening codebases.

1|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/paialex/ai-skills-bank --skill improve-codebase-architecture-paialex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/paialex/ai-skills-bank/tree/main/mattpocock_skills/engineering/improve-codebase-architecture
Command: npx skills add https://github.com/paialex/ai-skills-bank --skill improve-codebase-architecture-paialex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deepening opportunities surface architecture friction and unlock leverage behind small interfaces, enabling more testable, AI-navigable code.

Core Features & Use Cases

  • Identify shallow modules and suggest targeted seams for deepening.
  • Propose minimal adapters/ports to consolidate tests and reduce cross-module coupling.
  • Align refactor plans with domain language to improve maintainability and comprehension.

Quick Start

Identify a shallow module and propose a minimal change that creates a seam and increases leverage behind a small interface.

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 modules in a codebase lack locality and interface leverage, creating architecture friction. You identify them by assessing dependency categories and evaluating where deepening opportunities surface testable interfaces behind small seams.

What are seams in software architecture and how do they improve testability?

Seams are minimal adapter or port interfaces that isolate module dependencies. They improve testability by enabling targeted refactoring behind small interfaces, reducing cross-module coupling, and increasing AI-navigability while preserving behavior.

How do I refactor a codebase to increase AI-navigability and testability?

Refactor a codebase by defining candidate modules, assessing dependency categories, and outlining changes behind seams using minimal adapters or ports. This increases AI-navigability and testability by consolidating tests and aligning refactor plans with domain language.

When do I need to use deepening opportunities to refactor my codebase?

You need deepening opportunities when shallow modules cause architecture friction and limit interface leverage. This refactoring approach targets modules with poor locality, creating seams that unlock testability and improve AI-navigability across various domains.

What is the best way to reduce cross-module coupling without breaking existing behavior?

The best way to reduce cross-module coupling while preserving behavior is proposing minimal adapters or ports to create seams. This deepens shallow modules, consolidates tests, and aligns the architecture with domain language without breaking functionality.

Does refactoring with seams work for codebases across different domain languages?

Refactoring with seams works across various domains. It applies to refactoring shallow modules by aligning plans with the specific domain language, which improves maintainability, comprehension, and interface leverage while preserving behavior.