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Domain Driven

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Omar-Obando
domain-driven

Domain-Driven Design skill for building complete business modules for building complete business modules. Ensures every business module has all sub-modules identified, complete CRUD operations, proper relationships, and no mock/placeholder implementations.

Overview

PublisherOmar-Obando
Repositoryqwen-orchestrator
Skill namedomain-driven
Stars
53
Forks
13
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Omar-Obando on GitHub. Read the source before you install it.

Installation

Install the Domain Driven AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Omar-Obando/qwen-orchestrator/tree/main/skills/domain-driven
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Omar-Obando/qwen-orchestrator.git /tmp/qwen-orchestrator
mkdir -p .claude/skills
cp -r /tmp/qwen-orchestrator/skills/domain-driven .claude/skills/domain-driven
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Domain Driven in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Domain Driven on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Domain Driven is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Domain-Driven Design Skill — Complete Business Module Builder

This skill ensures every business module is built completely with all sub-modules, CRUD operations, relationships, and business rules — NO mockups, NO placeholders.

Module Discovery Protocol

When asked to build an business module:

Step 1: Enumerate Sub-Modules

For module "Inventory", identify:
├── Products (CRUD + categories, variants, pricing)
├── Warehouses (CRUD + locations, capacity)
├── Stock Movements (CRUD + types: in, out, transfer)
├── Suppliers (CRUD + contacts, contracts)
├── Purchase Orders (CRUD + lines, receiving)
├── Stock Counts (CRUD + adjustments)
└── Reports (Read-only analytics)

Step 2: Entity Relationship Map

Product ──< ProductVariant >── Attribute
  │
  ├──< StockItem >── Warehouse
  │
  └──< PurchaseOrderLine >── PurchaseOrder >── Supplier

Step 3: CRUD Completeness Matrix

For EVERY entity, verify ALL operations:

EntityCreateRead ListRead DetailUpdateDeleteRestore
Product✅✅ + filters✅ + variants✅ partial✅ soft✅
.....................

Implementation Rules

NO Mock Implementations

Every function must contain REAL implementation logic:

typescript
// ❌ FORBIDDEN - Mock/Placeholder
async getProducts() {
  return []; // TODO: implement
}

// ✅ REQUIRED - Real Implementation
async getProducts(filters: ProductFilters, pagination: Pagination): Promise<PaginatedResult<Product>> {
  const query = this.repository.createQueryBuilder('p')
    .leftJoinAndSelect('p.category', 'category')
    .leftJoinAndSelect('p.variants', 'variant');

  if (filters.categoryId) {
    query.andWhere('p.categoryId = :categoryId', { categoryId: filters.categoryId });
  }
  if (filters.search) {
    query.andWhere('(p.name ILIKE :search OR p.sku ILIKE :search)', { search: `%${filters.search}%` });
  }

  query.orderBy('p.createdAt', 'DESC');
  return query.paginate(pagination);
}

CRUD Pattern Requirements

Create
  • Input validation with specific error messages
  • Unique constraint checking before insert
  • Default values applied
  • Relationships validated (FK existence)
  • Audit trail (createdBy, createdAt)
Read List
  • Pagination (cursor or offset)
  • Filtering by relevant fields
  • Sorting by configurable columns
  • Include counts and aggregates
  • Field selection (don't return unnecessary data)
Read Detail
  • Include related entities (eager loading)
  • 404 handling with clear message
  • Authorization check (user can access this resource)
Update
  • Partial update support (PATCH semantics)
  • Immutable fields protection (e.g., createdAt, id)
  • Optimistic locking or version checking
  • Audit trail (updatedBy, updatedAt)
Delete
  • Soft delete by default (deletedAt timestamp)
  • Cascade behavior explicitly defined
  • Referential integrity check before delete
  • Hard delete only via explicit admin endpoint

Domain-Driven Design Patterns

Entity Structure

typescript
// Base entity with audit fields
interface BaseEntity {
  id: string; // UUID
  createdAt: Date;
  updatedAt: Date;
  deletedAt: Date | null; // Soft delete
  createdBy: string;
  updatedBy: string;
}

// Domain entity with business rules
class Product extends BaseEntity {
  // Fields
  name: string;
  sku: string;
  price: number;
  cost: number;
  status: ProductStatus;

  // Business rules in the entity
  activate(): void {
    if (this.price <= 0) throw new DomainError('Price must be positive');
    this.status = ProductStatus.ACTIVE;
  }

  calculateMargin(): number {
    return this.price - this.cost;
  }
}

Repository Pattern

typescript
interface ProductRepository {
  findById(id: string): Promise<Product | null>;
  findList(
    filters: ProductFilters,
    page: Pagination
  ): Promise<PaginatedResult<Product>>;
  save(product: Product): Promise<Product>;
  softDelete(id: string): Promise<void>;
  restore(id: string): Promise<void>;
}

Sub-Module Detection Checklist

When building a module, check for these common sub-modules:

  • Master Data: Core entities (Products, Customers, Vendors)
  • Transactions: Business operations (Orders, Invoices, Movements)
  • Configuration: Settings and preferences
  • Reports: Read-only analytics and exports
  • Audit Log: Change tracking
  • Permissions: Role-based access per entity
  • Notifications: Event-driven alerts
  • Import/Export: Bulk data operations

Delivery Verification

Before marking a module complete:

  • ALL sub-modules identified and listed in TODO
  • EVERY entity has complete CRUD (no gaps)
  • NO mock/placeholder implementations
  • ALL relationships properly configured
  • ALL business rules implemented (not stubbed)
  • ALL validations in place
  • Migration files created and tested
  • Seed data exists for development
  • API documentation complete
  • Tests cover every endpoint

When NOT to Use

Do NOT use this skill when:

  • Writing API endpoint implementations (use api-design skill)
  • Reviewing code for quality issues (use code-review skill)
  • Performing security audits (use security-auditor skill)
  • Analyzing deployment configurations (use deployment skill)
  • Writing SQL queries (use sql-best-practices skill)
  • Designing database schemas (use database-design skill)
  • Designing multi-page website layouts (use design-system skill)
  • Reviewing git workflows (use git-workflow skill)

Frequently asked questions

What does the Domain Driven AI skill do?

Domain-Driven Design skill for building complete business modules for building complete business modules. Ensures every business module has all sub-modules identified, complete CRUD operations, proper relationships, and no mock/placeholder implementations.

Why use Domain Driven on TypingMind?

Because you install it once and use it with any model. Domain Driven is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Domain Driven in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Omar-Obando/qwen-orchestrator/tree/main/skills/domain-driven. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Domain Driven?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Domain Driven?

As many as you like. As long as a model supports skills, you can use Domain Driven with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Domain Driven AI skill free?

Yes. It is published on GitHub by Omar-Obando under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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