What is the V3 Core Implementation skill?

It is a specialized capability for Claude Code that implements the architectural foundation for the claude-flow v3 framework, focusing on modularity and scalability.

What design patterns does this skill utilize?

The skill follows Domain-Driven Design (DDD) and Clean Architecture principles, utilizing Aggregate Roots, Entities, Value Objects, and Repository patterns.

Can I use this with databases other than SQLite?

Yes. While it includes a SQLite implementation, the skill defines repository interfaces that allow you to easily implement providers for PostgreSQL, MongoDB, or other databases.

How does this improve AI agent development?

It provides a structured environment for agents to manage tasks and sessions, ensuring that the code Claude generates follows industry-standard best practices for software engineering.

V3 Agentic Core Implementation

Name: V3 Agentic Core Implementation
Author: ruvnet

byruvnet

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538

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API Development

Implements a robust Domain-Driven Design and clean architecture foundation for modular TypeScript agent systems.

The V3 Core Implementation skill provides the architectural backbone for building complex, production-grade agentic systems with Claude. It leverages Domain-Driven Design (DDD) principles to organize code into clear bounded contexts, such as task and session management. By providing standardized implementations for Aggregate Roots, Value Objects, and Dependency Injection, it ensures that AI-generated code remains maintainable, testable, and scalable. This skill is ideal for developers using Claude Code to transition from experimental agent scripts to fully hosted, modular business applications.

Key Features

01Ready-to-use SQLite repository implementations for persistent agent state

02Built-in Dependency Injection and microkernel patterns for modularity

03Standardized DDD patterns including Entities, Value Objects, and Aggregate Roots

04Clean Architecture structure separating Domain, Application, and Infrastructure layers

05Pre-configured modules for task scheduling, session management, and health monitoring

06538 GitHub stars

Use Cases

01Refactoring AI-generated prototypes into modular and testable TypeScript codebases

02Implementing complex business logic and state management for multi-agent workflows

03Scaffolding production-ready backends for autonomous AI agent frameworks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill