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.