V3 DDD Architecture

Decompose claude-flow v3 monolithic orchestrators into isolated bounded contexts.

1|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/harshaldhaduk/Lattice --skill v3-ddd-architecture-harshaldhaduk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 DDD Architecture
Source: https://github.com/harshaldhaduk/Lattice/tree/main/.claude/skills/v3-ddd-architecture
Command: npx skills add https://github.com/harshaldhaduk/Lattice --skill v3-ddd-architecture-harshaldhaduk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the critical maintainability and scalability issues caused by monolithic "god object" code in claude-flow v3, where a single 1,440-line orchestrator handles all core responsibilities including task management, session management, and health monitoring, leading to difficult testing, high merge conflict risk, and slow feature development.

Core Features & Use Cases

  • Bounded Context Decomposition: Breaks down monolithic orchestrators into isolated, focused domain modules with clear responsibilities.
  • Clean Architecture Enforcement: Implements layered architecture with dependency inversion, ensuring domain logic remains independent of external frameworks for maximum testability.
  • Plugin-Based Extensibility: Adds a microkernel pattern supporting optional domain plugins like swarm coordination, enabling modular feature additions without modifying core code.
  • Use Case: A development team can use this Skill to refactor their existing claude-flow v3 codebase, reducing the core orchestrator from 1,440 lines to 5 focused domains under 300 lines each, with over 90% test coverage for domain logic.

Quick Start

Use the v3-ddd-architecture skill to analyze your current claude-flow v3 codebase and generate a complete bounded context decomposition plan with phased migration steps.

Frequently Asked Questions about V3 DDD Architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I refactor a monolithic orchestrator into bounded contexts?

Refactoring a monolithic orchestrator into bounded contexts requires decomposing the god object into isolated domain modules. This Skill breaks down a 1,440-line orchestrator into 5 focused domains under 300 lines each, ensuring clear responsibilities and domain isolation.

What is domain-driven design implementation for TypeScript Node.js projects?

Domain-driven design implementation for TypeScript Node.js projects involves applying clean architecture with dependency inversion. This Skill ensures domain logic remains independent of external frameworks, enabling over 90% test coverage for isolated domain modules.

How do I apply clean architecture to legacy code refactoring?

Applying clean architecture to legacy code refactoring enforces layered architecture with dependency inversion. This Skill eliminates maintainability issues by isolating domain logic from external frameworks and implementing event-driven communication between decomposed modules.

Can I add modular features to claude-flow v3 without modifying core code?

Adding modular features to claude-flow v3 without modifying core code is possible through a microkernel pattern. This Skill implements plugin-based extensibility, supporting optional domain plugins like swarm coordination for modular feature additions.

What is the best way to migrate a monolithic codebase to domain-driven design?

Migrating a monolithic codebase to domain-driven design is best achieved through a phased migration strategy. This Skill analyzes your existing claude-flow v3 codebase and generates a complete bounded context decomposition plan with step-by-step migration guidance.

Why does monolithic god object code cause maintainability and scalability issues?

Monolithic god object code causes maintainability and scalability issues because a single orchestrator handling all responsibilities leads to difficult testing, high merge conflict risk, and slow feature development. Decomposing into bounded contexts resolves these critical bottlenecks.