V3 DDD Architecture

Decompose monolithic claude-flow v3 orchestrators into bounded contexts.

4|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/gaberger/hex --skill v3-ddd-architecture-gaberger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 DDD Architecture
Source: https://github.com/gaberger/hex/tree/main/.claude/skills/v3-ddd-architecture
Command: npx skills add https://github.com/gaberger/hex --skill v3-ddd-architecture-gaberger

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designs and implements Domain-Driven Design (DDD) architecture for claude-flow v3, decomposing god objects into bounded contexts, implementing clean architecture patterns, and enabling modular, testable code structure.

Core Features & Use Cases

  • Decomposes monolithic orchestrator into bounded contexts (task-management, session-management, health-monitoring, lifecycle-management, event-coordination) to improve maintainability.
  • Applies a microkernel pattern and modular core to support domain plugins and isolated boundaries.
  • Enables event-driven domain communication, explicit context mapping, and clean interface design to facilitate safe evolution and testing.

Quick Start

Analyze the current codebase and begin migrating to a bounded-context, modular architecture.

Frequently Asked Questions about V3 DDD Architecture

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

FAQPage Schema
How do I decompose a monolithic orchestrator into bounded contexts?

To decompose a monolithic orchestrator into bounded contexts, you split god objects into isolated domains like task-management and session-management. This modular architecture improves maintainability and enables safe evolution of AI-driven orchestration systems.

What is the microkernel pattern in domain-driven design?

The microkernel pattern in domain-driven design implements a modular core that supports domain plugins and isolated boundaries. This architecture enables event-driven domain communication and clean interface design, allowing AI orchestration systems to evolve safely and remain testable.

How do I apply DDD architecture to a TypeScript orchestration system?

Applying DDD architecture to a TypeScript orchestration system involves domain decomposition, explicit context mapping, and clean interface design. This transformation enables event-driven communication and modular, testable code structure for complex AI-driven workflows.

Can I use a microkernel pattern with existing domain plugins?

Yes, the microkernel pattern supports domain plugins and isolated boundaries for existing systems. By implementing clean architecture patterns and event-driven domain communication, you can integrate plugins safely while maintaining testable code structure.

What is the best way to migrate a monolithic codebase to a modular architecture?

The best way to migrate a monolithic codebase to a modular architecture is through a phased migration strategy. Start with domain decomposition to identify bounded contexts, apply context mapping for explicit boundaries, and progressively refactor god objects into isolated domains.

Why does domain decomposition improve maintainability in TypeScript?

Domain decomposition improves maintainability in TypeScript by breaking monolithic orchestrators into bounded contexts with explicit boundaries. This clean architecture approach enables isolated testing, supports domain plugins, and facilitates safe system evolution through event-driven communication.