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Skill · Architecture

Ddd tactical patterns

Apply DDD tactical patterns in code using entities, value objects, aggregates, repositories, and domain events with explicit invariants.

Agentic Awesome SkillsAdded Sep 5, 2026
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How to use it

  1. Start your plan and connect your AI once
  2. Add the skill to your AI, one time only: press Copy skill and paste it into your AI's instructions: a project in ChatGPT, Claude or Grok, a Gem in Gemini, an agent in Microsoft 365 Copilot, or a rule in Cursor. It stays there for every new chat. In Kimi, paste it at the start of a new chat.
  3. Ask for the task in your own words, or say it directly:
Use the Ddd tactical patterns skill to help me with this.
SKILL.md2 files in this skill

DDD Tactical Patterns

Use this skill when

  • Translating domain rules into code structures.
  • Designing aggregate boundaries and invariants.
  • Refactoring an anemic model into behavior-rich domain objects.
  • Defining repository contracts and domain event boundaries.

Do not use this skill when

  • You are still defining strategic boundaries.
  • The task is only API documentation or UI layout.
  • Full DDD complexity is not justified.

Instructions

  1. Identify invariants first and design aggregates around them.
  2. Model immutable value objects for validated concepts.
  3. Keep domain behavior in domain objects, not controllers.
  4. Emit domain events for meaningful state transitions.
  5. Keep repositories at aggregate root boundaries.

If detailed checklists are needed, open references/tactical-checklist.md.

Example

class Order {
  private status: "draft" | "submitted" = "draft";

  submit(itemsCount: number): void {
    if (itemsCount === 0) throw new Error("Order cannot be submitted empty");
    if (this.status !== "draft") throw new Error("Order already submitted");
    this.status = "submitted";
  }
}

Limitations

  • This skill does not define deployment architecture.
  • It does not choose databases or transport protocols.
  • It should be paired with testing patterns for invariant coverage.