V3 Core Implementation

Automate DDD-based core creation for claude-flow v3 with DI wiring.

1|2|Updated Nov 5, 2025
One-click install
npx skills add https://github.com/LLM-Dev-Ops/observatory --skill v3-core-implementation-llm-dev-ops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 Core Implementation
Source: https://github.com/LLM-Dev-Ops/observatory/tree/main/.claude/skills/v3-core-implementation
Command: npx skills add https://github.com/LLM-Dev-Ops/observatory --skill v3-core-implementation-llm-dev-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a robust, modular core architecture for claude-flow v3 based on Domain-Driven Design and clean architecture principles. It enables scalable, maintainable development by organizing bounded contexts, domain services, and the application layer with strong typing and testability.

Core Features & Use Cases

  • Domain-oriented structure: Defines DDD bounded contexts, events, entities, and repositories to support evolving AI orchestration.
  • Clean architecture & DI: Applies a microkernel pattern, dependency injection, and clear separation of concerns for maintainability and extensibility.
  • Testable foundation: Provides base entity/value-object contracts and guidelines for unit and integration tests across domains.

Quick Start

Task("Core foundation", "Set up DDD domain structure and base classes", "core-implementer") Task("Domain implementation (parallel)", "Implement domain modules for claude-flow v3", "core-implementer") Task("Architecture validation", "Review module boundaries and DI wiring", "core-implementer")

Frequently Asked Questions about V3 Core Implementation

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

FAQPage Schema
How do I set up a domain-driven design core structure with TypeScript for complex AI workflows?

A clean architecture core enforces strict separation of concerns, dependency injection, and bounded contexts. This DDD-based structure supports evolving AI orchestration by keeping domain logic isolated, making the application layer testable, and allowing new bounded contexts to be added without breaking existing modules.

What's the best way to organize bounded contexts and domain services for a scalable application layer?

Testability is built in through base entity and value-object contracts that define clear interfaces for unit and integration tests. The clean architecture separates domain logic from infrastructure, allowing bounded contexts and domain services to be tested in isolation across all modules.

Can I extend the modular domain structure with new bounded contexts after the initial setup?

Dependency injection is wired through a microkernel pattern that enforces clear separation of concerns across the domain layer, application layer, and infrastructure. The DDD-based core uses DI to maintain strict module boundaries, ensuring domain services remain decoupled and testable.

Do I need prior domain-driven design experience to use this automated DDD core generator?

The skill validates architecture by reviewing module boundaries and dependency injection wiring after domain implementation. It checks that bounded contexts remain properly separated, domain services follow clean architecture principles, and the application layer maintains testability across all modules.