improve-codebase-architecture

Identify shallow modules and outline interface designs for deeper boundaries.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/japurcell/skills --skill improve-codebase-architecture-japurcell
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/japurcell/skills/tree/main/skills/improve-codebase-architecture
Command: npx skills add https://github.com/japurcell/skills --skill improve-codebase-architecture-japurcell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codebases often accumulate shallow modules and fragile interfaces that hinder testing, AI navigation, and safe refactoring. This Skill helps identify opportunities to deepen module boundaries, surface architectural frictions, and prepare actionable refactor work as RFCs.

Core Features & Use Cases

  • Survey a repository to locate shallow modules and seams between components.
  • Present a prioritized set of deepening opportunities with problem statements and design constraints.
  • Frame RFCs and design alternatives to guide refactor work.

Quick Start

Scan the project, identify the top three opportunities to deepen module boundaries, and draft RFC-ready notes.

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 that hurt testability?

To identify shallow modules that hurt testability, scan your repository for module coupling and fragile seams between components. This analysis surfaces architectural frictions and generates a prioritized list of deepening candidates to improve test boundaries.

What is module deepening in software architecture and when do I need it?

Module deepening in software architecture is the process of restructuring shallow modules to enforce stronger boundaries and reduce coupling. You need it when fragile interfaces hinder testing, AI navigation, and safe refactoring across your codebase components.

How do I refactor codebase interfaces to improve AI navigability and testability?

To refactor codebase interfaces for AI navigability and testability, analyze the seams between components and outline multiple alternative interface designs with trade-offs. This defines the problem space and prepares actionable refactor work as RFCs.

Can I analyze module coupling and testability boundaries in large codebases?

Yes, you can analyze module coupling and testability boundaries in large codebases. The process surveys repositories of varying sizes to locate shallow modules, prioritize deepening opportunities, and frame design constraints regardless of scale.

What's the best way to draft RFCs for codebase architecture refactoring?

The best way to draft RFCs for codebase architecture refactoring is to generate a prioritized list of deepening candidates, define the problem space for each, and outline multiple interface designs with trade-offs to guide the refactor work.