Implements a robust domain-driven architecture for complex AI agent workflows and multi-agent swarms.
The V3 Core Implementation skill provides a standardized architectural foundation for building sophisticated AI systems using Domain-Driven Design (DDD) and Clean Architecture principles. It delivers a modular TypeScript codebase featuring base classes for Entities, Value Objects, and Aggregate Roots, alongside a microkernel pattern for domain registration and plugin management. This skill is essential for developers scaling Claude-powered applications who require maintainable, testable, and strictly typed logic for task coordination, session handling, and autonomous system behavior.
Características Principales
01Modular TypeScript implementation with dependency injection
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03Standardized DDD base classes (Entity, Value Object, Aggregate Root)
04Microkernel architecture with plugin loading and domain registry
05Priority-based task management and scheduling domain logic
06Infrastructure interfaces for SQLite repositories and event-driven messaging
Casos de Uso
01Refactoring AI automation scripts into a testable, modular DDD codebase
02Establishing the architectural backbone for a new multi-agent AI swarm
03Implementing complex task management with custom priority and state transitions