Can I extend the core domains provided in this skill?

Absolutely. The microkernel and plugin-loader design allow you to seamlessly add new bounded contexts and services without modifying the core kernel logic.

What is the primary benefit of using this skill?

It provides a standardized, battle-tested architectural foundation using DDD and Clean Architecture for building complex AI agent systems, significantly reducing technical debt.

Is this compatible with the Model Context Protocol (MCP)?

Yes, this core implementation is designed to work with the claude-flow ecosystem which features native Claude Code support via the MCP protocol.

Does it support database persistence?

Yes, the skill includes repository interfaces and a reference SQLite implementation specifically for the Task Management domain.

Claude Flow Core Implementation

Name: Claude Flow Core Implementation
Author: ruvnet

byruvnet

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12,331

Desarrollo de API

Implements Domain-Driven Design (DDD) and clean architecture patterns for high-performance AI agent orchestration.

Acerca de

This skill provides a foundational framework for building complex, modular AI systems using the claude-flow v3 architecture. It leverages Domain-Driven Design (DDD) principles to implement essential components like Aggregate Roots, Entities, and Value Objects alongside a robust dependency injection container. Designed for developers building scalable agentic workflows, this skill ensures long-term maintainability through a microkernel architecture, a shared kernel for cross-cutting concerns, and standardized repository patterns for data persistence. It is the ideal starting point for creating production-grade, autonomous multi-agent systems.

Características Principales

Modular Microkernel architecture with integrated plugin loading
Implements Domain-Driven Design (DDD) patterns for TypeScript
Provides base classes for Entities, Value Objects, and Aggregate Roots
Pre-built Task Management domain with SQLite repository implementation
12,331 GitHub stars
Native Dependency Injection (DI) and domain-specific lifecycle management

Casos de Uso

Implementing clean architecture patterns in modern TypeScript projects
Developing robust task scheduling and session management backends
Building scalable multi-agent AI orchestration platforms

Acerca de

Características Principales

Modular Microkernel architecture with integrated plugin loading
Implements Domain-Driven Design (DDD) patterns for TypeScript
Provides base classes for Entities, Value Objects, and Aggregate Roots
Pre-built Task Management domain with SQLite repository implementation
12,331 GitHub stars
Native Dependency Injection (DI) and domain-specific lifecycle management

Casos de Uso

Implementing clean architecture patterns in modern TypeScript projects
Developing robust task scheduling and session management backends
Building scalable multi-agent AI orchestration platforms