V3 DDD Architecture

Decompose monolithic components into modular bounded contexts for claude-flow v3.

2|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill v3-ddd-architecture-earthmanweb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 DDD Architecture
Source: https://github.com/EarthmanWeb/claude-flow-plugin/tree/main/.claude/skills/v3-ddd-architecture
Command: npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill v3-ddd-architecture-earthmanweb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the issue of monolithic codebases (like the 'orchestrator.ts' god object) by implementing a Domain-Driven Design (DDD) architecture, leading to more modular, maintainable, and testable code.

Core Features & Use Cases

  • Domain Decomposition: Breaks down large components into distinct bounded contexts.
  • Clean Architecture: Implements layered architecture principles for separation of concerns.
  • Microkernel Pattern: Enables a core kernel with extensible domain plugins.
  • Event-Driven Communication: Facilitates loose coupling between domains using domain events.
  • Use Case: Refactoring a large, complex application into smaller, independent modules that can be developed, tested, and scaled more effectively.

Quick Start

Analyze the current architecture and design DDD boundaries for claude-flow v3.

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 orchestrator using Domain-Driven Design?

Refactoring a monolithic orchestrator using Domain-Driven Design involves decomposing the god object into modular bounded contexts. This architecture applies a microkernel pattern to enable extensible domain plugins and separates concerns for maintainability.

What is the best way to decompose monolithic codebases into bounded contexts?

Decomposing monolithic codebases into bounded contexts requires identifying distinct domain boundaries and isolating their logic. Using clean architecture principles ensures separation of concerns, allowing each module to be developed and tested independently.

How does event-driven communication work in a microkernel architecture?

Event-driven communication in a microkernel architecture works by using domain events to loosely couple bounded contexts. The core kernel processes events, allowing extensible domain plugins to react independently without direct dependencies.

When do I need clean architecture for refactoring complex applications?

You need clean architecture for refactoring complex applications when a monolithic codebase becomes difficult to maintain and scale. Implementing layered architecture principles separates concerns, resulting in code that is more modular and testable.

Can I use a microkernel pattern to break down large components into independent modules?

Yes, you can use a microkernel pattern to break down large components into independent modules. It enables a core kernel with extensible domain plugins, allowing complex applications to be refactored into smaller, scalable bounded contexts.

Does DDD architecture improve testability for monolithic codebases?

DDD architecture improves testability for monolithic codebases by decomposing large components into modular bounded contexts. This separation of concerns and event-driven communication allows independent modules to be tested more effectively.