V3 DDD Architecture

Implement Domain-Driven Design architecture for claude-flow v3 with bounded contexts.

Updated Jun 5, 2026
One-click install
npx skills add https://github.com/LGugui/cerebro-template --skill v3-ddd-architecture-lgugui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 DDD Architecture
Source: https://github.com/LGugui/cerebro-template/tree/main/.claude/skills/v3-ddd-architecture
Command: npx skills add https://github.com/LGugui/cerebro-template --skill v3-ddd-architecture-lgugui

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complexity and maintainability issues of large, monolithic codebases by implementing a Domain-Driven Design (DDD) architecture for claude-flow v3.

Core Features & Use Cases

  • Domain Decomposition: Breaks down large, monolithic objects into smaller, bounded contexts.
  • Clean Architecture: Implements clean architecture patterns for maintainable and testable code.
  • Microkernel Pattern: Utilizes the microkernel pattern for a flexible and scalable core.
  • Use Case: Transform a complex system with a large orchestrator object into a modular, domain-driven architecture.

Quick Start

Analyze the current architecture and start designing DDD boundaries with the command 'Task("Architecture analysis", "Analyze current architecture and design DDD boundaries", "core-architect")'.

Frequently Asked Questions about V3 DDD Architecture

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

FAQPage Schema
How do I break down a large monolithic orchestrator object into domain-driven design boundaries?

To break down a monolithic orchestrator using domain-driven design, you decompose the large object into smaller, bounded contexts. This modular DDD architecture implementation analyzes your current system boundaries and refactors them for maintainability and testability.

What is the best way to apply clean architecture and the microkernel pattern for system refactoring?

Applying clean architecture and the microkernel pattern for system refactoring involves implementing a flexible, scalable core that separates domain logic from infrastructure. This approach ensures complex software projects remain maintainable and testable during architectural transformations.

When do I need bounded context decomposition for my complex software architecture?

You need bounded context decomposition when managing complexity and maintainability issues in large, monolithic codebases. Domain-driven design boundaries isolate specific business capabilities, transforming tangled orchestrator objects into a modular, scalable architecture.

Can I use this DDD architecture approach to refactor an existing complex system?

Yes, you can refactor an existing complex system using this DDD architecture approach. It specifically targets transforming architectures with large orchestrator objects into modular, domain-driven designs through bounded context decomposition and clean architecture patterns.

How to start designing DDD boundaries for a monolithic codebase?

To start designing DDD boundaries, initiate an architecture analysis to evaluate your current monolithic structure. This identifies logical domain separations, allowing you to establish bounded contexts and implement a microkernel pattern for a scalable core.

Why does implementing clean architecture help with complex monolithic codebases?

Implementing clean architecture helps complex monolithic codebases by enforcing strict separation of concerns, which isolates domain logic from external interfaces. This domain-driven design decomposition dramatically improves long-term maintainability and code testability.