improve-codebase-architecture

Identify refactoring opportunities using domain language and ADRs.

3|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/Zoomma1/get-your-life-together --skill improve-codebase-architecture-zoomma1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-codebase-architecture
Source: https://github.com/Zoomma1/get-your-life-together/tree/main/99%20-%20Claude%20Code/Skills/improve-codebase-architecture
Command: npx skills add https://github.com/Zoomma1/get-your-life-together --skill improve-codebase-architecture-zoomma1

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies areas in a codebase that can be improved through refactoring, informed by the project's domain language and Architecture Decision Records (ADR).

Core Features & Use Cases

  • Domain-Informed Analysis: Uses project-specific domain language and ADRs to guide refactoring.
  • Identifies Shallow Modules: Finds modules with interfaces nearly as complex as their implementations.
  • Refactoring Recommendations: Proposes changes to increase testability and AI-navigability.
  • Use Case: For a developer looking to improve the architecture of a complex codebase with tight coupling and limited test coverage.

Quick Start

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

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 refactoring opportunities in a complex codebase with tight coupling?

Refactoring opportunities in a complex codebase are identified by analyzing domain language and Architecture Decision Records to pinpoint shallow modules where interfaces are nearly as complex as their implementations.

What are shallow modules and how do they affect codebase architecture?

Shallow modules in a codebase architecture are modules with interfaces nearly as complex as their implementations, which limits testability and AI-navigability while increasing tight coupling.

How do I use domain language and ADRs to guide codebase refactoring?

To guide codebase refactoring, domain language and Architecture Decision Records are used to analyze the project context, proposing changes that increase testability and AI-navigability across tightly coupled modules.

Can I improve testability in a codebase with limited test coverage?

Testability in a codebase with limited test coverage can be improved by proposing architectural refactoring changes guided by domain language and ADRs to reduce tight coupling and eliminate shallow modules.

What is the best way to enhance architecture for AI-navigability in complex codebases?

The best way to enhance architecture for AI-navigability in complex codebases is by analyzing domain language and ADRs to identify refactoring opportunities that reduce tight coupling and eliminate shallow modules.

When should I not use domain-informed refactoring for my architecture?

Domain-informed refactoring for architecture may not be suitable if your project lacks documented domain language or Architecture Decision Records, as the analysis strictly relies on these inputs to identify opportunities.