V3 DDD Architecture

Decompose monolithic orchestrator classes into bounded contexts with event-driven microkernel architecture.

Updated Dec 12, 2025

Search Tags:#architecture #refactoring #ddd #domain-driven-design #microkernel #modular

Ready to run

npx skills add https://github.com/MichelMokbel/RMS-1 --skill v3-ddd-architecture-michelmokbel

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: V3 DDD Architecture
Source: https://github.com/MichelMokbel/RMS-1/tree/main/.claude/skills/v3-ddd-architecture
Command: npx skills add https://github.com/MichelMokbel/RMS-1 --skill v3-ddd-architecture-michelmokbel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the technical debt of monolithic god objects by providing a structured path to decompose code into bounded contexts, ensuring modularity and maintainability.

Core Features & Use Cases

Domain Decomposition: Systematically breaks down large orchestrator classes into focused, independent domains like task management and session handling.
Clean Architecture Implementation: Enforces strict dependency inversion, ensuring the domain layer remains isolated from infrastructure concerns.
Use Case: Use this skill to refactor a legacy orchestrator.ts file into a clean, event-driven microkernel architecture that supports plugin-based extensions.

Quick Start

Execute the architecture analysis task to begin decomposing the current orchestrator into bounded contexts.

Frequently Asked Questions about V3 DDD Architecture

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

FAQPage Schema

How do I refactor a monolithic god object into bounded contexts using Domain-Driven Design?▼

Transitioning from god objects to a microkernel architecture with DDD involves creating clean separation of concerns and event-driven communication. It systematically breaks down orchestrator classes into focused domains like task management, replacing monolithic structures with plugin-based extensions.

How does a microkernel architecture improve event-driven communication in modular domains?▼

A microkernel architecture improves event-driven communication by enforcing clean separation of concerns and loose coupling between modules. It replaces monolithic orchestrators with plugin-based extensions and domain-specific interfaces, ensuring independent domains communicate efficiently without tight dependencies.

Can I use this DDD architecture approach to refactor a legacy orchestrator file?▼

Yes, you can refactor a legacy orchestrator file using this DDD architecture approach. It provides a structured path to decompose monolithic code into clean, event-driven microkernel architectures, implementing use cases, value objects, and domain-specific interfaces to ensure high testability.

What is the best way to enforce clean architecture and loose coupling when decomposing monolithic applications?▼

The best way to enforce clean architecture and loose coupling is by implementing strict dependency inversion and isolating the domain layer from infrastructure concerns. By defining domain-specific interfaces and application use cases, you ensure modules remain independent, highly testable, and structurally sound.

When should I avoid decomposing orchestrator classes into modular DDD domains?▼

You should avoid decomposing orchestrator classes into modular DDD domains if your application lacks complex business logic or has minimal scaling requirements. This architecture targets technical debt in large monolithic structures, so simpler codebases may not justify the overhead of bounded contexts and event-driven communication.