What architecture pattern does it use for extensions?

It utilizes a Microkernel Architecture pattern, which allows for a stable core kernel while supporting various optional domain plugins.

What is the main benefit of using the V3 DDD Architecture skill?

It eliminates 'god objects'—overly large, complex files—by breaking down logic into isolated, testable, and maintainable bounded contexts.

How does this skill handle communication between different domains?

It implements an event-driven approach using Domain Events and a central Event Bus, ensuring domains remain loosely coupled.

Is this skill suitable for existing monolithic projects?

Yes, it includes a specific three-phase migration strategy designed to extract domain services and transition to a modular architecture incrementally.

V3 DDD Architecture

Name: V3 DDD Architecture
Author: nbossn

bynbossn

0•

开发者工具

Implements modular Domain-Driven Design patterns and microkernel architecture to restructure complex AI workflows into maintainable bounded contexts.

This skill provides a comprehensive framework for applying Domain-Driven Design (DDD) principles within the Claude Code environment, specifically targeting the claude-flow v3 framework. It enables developers to decompose massive 'god objects' into isolated bounded contexts, implement clean architecture layers, and utilize a microkernel pattern for extensible plugin development. By separating concerns into distinct domains like task management and session monitoring, it improves code testability, maintainability, and scalability for advanced AI agent systems.

主要功能

01Event-driven communication patterns using decoupled Domain Events

02Microkernel-based plugin system for extensible core functionality

03Automated decomposition of god objects into modular bounded contexts

04Implementation of Clean Architecture layers for strict dependency inversion

050 GitHub stars

06Standardized domain logic testing strategies using London School TDD

使用场景

01Designing a scalable plugin architecture for custom AI agent capabilities

02Refactoring massive orchestrator files into smaller, specialized domain modules

03Implementing strict dependency rules to ensure core business logic remains framework-agnostic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base v3-ddd-architecture

For use in Claude.ai and ChatGPT

主要功能

01Event-driven communication patterns using decoupled Domain Events

02Microkernel-based plugin system for extensible core functionality

03Automated decomposition of god objects into modular bounded contexts

04Implementation of Clean Architecture layers for strict dependency inversion

050 GitHub stars

06Standardized domain logic testing strategies using London School TDD

使用场景

01Designing a scalable plugin architecture for custom AI agent capabilities

02Refactoring massive orchestrator files into smaller, specialized domain modules

03Implementing strict dependency rules to ensure core business logic remains framework-agnostic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base v3-ddd-architecture

For use in Claude.ai and ChatGPT