V3 DDD Architecture
V3 DDD Architecture
What This Skill Does
Designs and implements Domain-Driven Design (DDD) architecture for claude-flow v3, decomposing god objects into bounded contexts, implementing clean architecture patterns, and enabling modular, testable code structure.
Quick Start
# Initialize DDD architecture analysis
Task("Architecture analysis", "Analyze current architecture and design DDD boundaries", "core-architect")
# Domain modeling (parallel)
Task("Domain decomposition", "Break down orchestrator god object into domains", "core-architect")
Task("Context mapping", "Map bounded contexts and relationships", "core-architect")
Task("Interface design", "Design clean domain interfaces", "core-architect")
DDD Implementation Strategy
More from ruvnet/agentic-flow
agentdb vector search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
5agentdb advanced features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
4agentdb learning plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
4hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
3agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
3swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
3