V3 DDD Architecture

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

Updated Feb 4, 2026
One-click install
npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill v3-ddd-architecture-marcus-mok-gh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 DDD Architecture
Source: https://github.com/Marcus-Mok-GH/Chess.com-app/tree/main/.migration-backup/.claude/skills/v3-ddd-architecture
Command: npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill v3-ddd-architecture-marcus-mok-gh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured approach to implementing Domain-Driven Design (DDD) architecture for claude-flow v3, addressing complex systems by decomposing into bounded contexts.

Core Features & Use Cases

  • Domain Decomposition: Breaks down complex objects into manageable domains.
  • Clean Architecture: Implements clean architecture patterns for modular, testable code.
  • Microkernel Pattern: Utilizes a microkernel to enable flexible extension with plugins.
  • Use Case: Suitable for building scalable, maintainable applications that require robust domain modeling.

Quick Start

Analyze the current architecture using the Architecture analysis task and design DDD boundaries with the provided tasks.

Frequently Asked Questions about V3 DDD Architecture

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

FAQPage Schema
How do I implement Domain-Driven Design architecture for complex systems?

Domain-Driven Design architecture decomposes complex systems into manageable bounded contexts with clean separation of concerns. This approach uses a microkernel pattern to enable flexible plugin extensions, ensuring robust domain modeling and maintainability for scalable applications.

What is the microkernel pattern in clean architecture and when do I need it?

The microkernel pattern in clean architecture provides a minimal core system that enables flexible extension through plugins. You need it when building scalable, maintainable applications requiring robust domain modeling and modular separation of concerns across complex bounded contexts.

How do I break down a complex application into bounded contexts for DDD?

To break down a complex application into bounded contexts, analyze the current architecture to identify domain boundaries, then apply clean architecture patterns to separate concerns. This modular decomposition enables testable code and scalable domain modeling.

Does DDD with a microkernel pattern work for scalable microservice architectures?

DDD with a microkernel pattern suits scalable architectures by providing modular bounded contexts and clean separation of concerns. The microkernel enables flexible plugin extensions, making it appropriate for complex systems requiring robust domain modeling and maintainability.

What's the best way to analyze existing architecture before applying DDD boundaries?

The best way to analyze existing architecture before applying DDD boundaries is to run an architecture analysis task. This evaluates current structures and identifies where bounded contexts and clean separation of concerns should be established for optimal domain decomposition.

When should I not use DDD architecture for my software project?

You should avoid DDD architecture when your project lacks sufficient domain complexity to justify bounded contexts. If the system does not require robust domain modeling or scalable modular decomposition, the overhead of clean architecture and microkernel patterns provides little value.