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

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API 开发

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

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.

主要功能

01Modular Microkernel architecture with integrated plugin loading

02Implements Domain-Driven Design (DDD) patterns for TypeScript

03Provides base classes for Entities, Value Objects, and Aggregate Roots

04Pre-built Task Management domain with SQLite repository implementation

0512,331 GitHub stars

06Native Dependency Injection (DI) and domain-specific lifecycle management

使用场景

01Implementing clean architecture patterns in modern TypeScript projects

02Developing robust task scheduling and session management backends

03Building scalable multi-agent AI orchestration platforms

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ruvnet/claude-flow v3-core-implementation

For use in Claude.ai and ChatGPT

Download Skill