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Domain Driven Design

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yonatangross
domain-driven-design

DDD tactical patterns for complex business modeling including entities, value objects, aggregates, domain services, repositories, specifications, and bounded contexts. Python dataclass implementations with TypeScript alternatives. Use when building rich domain models, enforcing invariants, or separating domain logic from infrastructure.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill namedomain-driven-design
Stars
298
Forks
35
Bundled files
11
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.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yonatangross on GitHub. Read the source before you install it.

Installation

Install the Domain Driven Design 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/yonatangross/orchestkit/tree/main/plugins/ork/skills/domain-driven-design
  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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/domain-driven-design .claude/skills/domain-driven-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Domain Driven Design 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 Design 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 Design 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 Tactical Patterns

Model complex business domains with entities, value objects, and bounded contexts.

Overview

  • Modeling complex business logic
  • Separating domain from infrastructure
  • Establishing clear boundaries between subdomains
  • Building rich domain models with behavior
  • Implementing ubiquitous language in code

Building Blocks Overview

┌─────────────────────────────────────────────────────────────┐
│                    DDD Building Blocks                       │
├─────────────────────────────────────────────────────────────┤
│  ENTITIES           VALUE OBJECTS        AGGREGATES         │
│  Order (has ID)     Money (no ID)        [Order]→Items      │
│                                                              │
│  DOMAIN SERVICES    REPOSITORIES         DOMAIN EVENTS      │
│  PricingService     IOrderRepository     OrderSubmitted     │
│                                                              │
│  FACTORIES          SPECIFICATIONS       MODULES            │
│  OrderFactory       OverdueOrderSpec     orders/, payments/ │
└─────────────────────────────────────────────────────────────┘

Quick Reference

Entity (Has Identity)

python
from dataclasses import dataclass, field
from uuid import UUID
from uuid_utils import uuid7

@dataclass
class Order:
    """Entity: Has identity, mutable state, lifecycle."""
    id: UUID = field(default_factory=uuid7)
    customer_id: UUID = field(default=None)
    status: str = "draft"

    def __eq__(self, other: object) -> bool:
        if not isinstance(other, Order):
            return NotImplemented
        return self.id == other.id  # Identity equality

    def __hash__(self) -> int:
        return hash(self.id)

ID generation is a house rule, not a taste call: Read("references/ork-delta.md").

Value Object (Immutable)

python
from dataclasses import dataclass
from decimal import Decimal

@dataclass(frozen=True)  # MUST be frozen!
class Money:
    """Value Object: Defined by attributes, not identity."""
    amount: Decimal
    currency: str

    def __add__(self, other: "Money") -> "Money":
        if self.currency != other.currency:
            raise ValueError("Cannot add different currencies")
        return Money(self.amount + other.amount, self.currency)

Canonical Address / DateRange boilerplate is not restated here. See the upstream coverage table below.

Key Decisions

DecisionRecommendation
Entity vs VOHas unique ID + lifecycle? Entity. Otherwise VO
Entity equalityBy ID, not attributes
Value object mutabilityAlways immutable (frozen=True)
Repository scopeOne per aggregate root
Domain eventsCollect in entity, publish after persist
Context boundariesBy business capability, not technical

Rules Quick Reference

RuleImpactWhat It Covers
aggregate-boundaries (load rules/aggregate-boundaries.md)HIGHAggregate root design, reference by ID, one-per-transaction
aggregate-invariants (load rules/aggregate-invariants.md)HIGHBusiness rule enforcement, specification pattern
aggregate-sizing (load rules/aggregate-sizing.md)HIGHRight-sizing, when to split, eventual consistency

When NOT to Use

Under 5 entities? Skip DDD entirely. The ceremony costs more than the benefit.

PatternInterviewHackathonMVPGrowthEnterpriseSimpler Alternative
AggregatesOVERKILLOVERKILLOVERKILLSELECTIVEAPPROPRIATEPlain dataclasses with validation
Bounded contextsOVERKILLOVERKILLOVERKILLBORDERLINEAPPROPRIATEPython packages with clear imports
CQRSOVERKILLOVERKILLOVERKILLOVERKILLWHEN JUSTIFIEDSingle model for read/write
Value objectsOVERKILLOVERKILLBORDERLINEAPPROPRIATEREQUIREDTyped fields on the entity
Domain eventsOVERKILLOVERKILLOVERKILLSELECTIVEAPPROPRIATEDirect method calls between services
Repository patternOVERKILLOVERKILLBORDERLINEAPPROPRIATEREQUIREDDirect ORM queries in service layer

Rule of thumb: DDD adds ~40% code overhead. Only worth it when domain complexity genuinely demands it (5+ entities with invariants spanning multiple objects). A CRUD app with DDD is a red flag.

Anti-Patterns (FORBIDDEN)

python
# NEVER have anemic domain models (data-only classes)
@dataclass
class Order:
    id: UUID
    items: list  # WRONG - no behavior!

# NEVER leak infrastructure into domain
class Order:
    def save(self, session: Session):  # WRONG - knows about DB!

# NEVER use mutable value objects
@dataclass  # WRONG - missing frozen=True
class Money:
    amount: Decimal

# NEVER have repositories return ORM models
async def get(self, id: UUID) -> OrderModel:  # WRONG - return domain!

Upstream coverage (do not restate)

These topics are documented first-party. Read the source instead of re-deriving them here; only the house consequences are kept, in references/ork-delta.md.

TopicSource
Entity / value-object dataclass mechanics: frozen, __post_init__, inherited field ordering, kw_onlyhttps://docs.python.org/3/library/dataclasses.html
Domain event definition, deferred dispatch, handler wiring, dispatch before vs after commithttps://learn.microsoft.com/en-us/dotnet/architecture/microservices/microservice-ddd-cqrs-patterns/domain-events-design-implementation
Bounded contexts, context map, ubiquitous language, integration patterns (shared kernel, customer-supplier, conformist, open host service, published language)https://learn.microsoft.com/en-us/azure/architecture/microservices/model/domain-analysis
Anti-corruption layer: what it translates and what it costshttps://learn.microsoft.com/en-us/azure/architecture/patterns/anti-corruption-layer
UUIDv7 generation, server side and in Pythonhttps://www.postgresql.org/docs/18/functions-uuid.html and https://github.com/aminalaee/uuid-utils
Payment amounts in minor units, zero-decimal currencieshttps://docs.stripe.com/currencies
Publishing events to a Redis Stream (XADD field maps, pipelining)https://redis.io/docs/latest/commands/xadd/
Layered architecture enforcement, project-structure validation, test standardsthe architecture-patterns skill in this plugin

Two subjects deliberately stay in this skill rather than routing upstream: the repository and Unit of Work implementation, which lives in full in references/repositories.md, and aggregate boundaries, invariants, and sizing, which live in full in rules/.

Related Skills

  • rules/aggregate-boundaries.md, rules/aggregate-invariants.md, rules/aggregate-sizing.md - aggregate design, in this skill
  • ork:architecture-patterns - Layer boundaries and project structure validation
  • ork:distributed-systems - Cross-aggregate coordination
  • ork:database-patterns - Schema design for DDD

References

Load on demand with Read("references/<file>"):

FileContent
ork-delta.mdHouse rules: UUIDv7, event drain ordering, ACL boundary, source layout
repositories.mdRepository pattern, Unit of Work, SQLAlchemy mapping

Capability Details

entities

Keywords: entity, identity, lifecycle, mutable, domain object Solves: Identity equality by ID, and the house UUIDv7 ID rule in references/ork-delta.md. Dataclass mechanics route upstream.

value-objects

Keywords: value object, immutable, frozen, dataclass, structural equality Solves: When to use VO vs entity. frozen=True semantics and inherited field ordering route upstream.

domain-services

Keywords: domain service, business logic, cross-aggregate, stateless Solves: When to use domain service, logic spanning aggregates

repositories

Keywords: repository, persistence, collection, IRepository, protocol Solves: Implement repository pattern, abstract DB access, ORM mapping

bounded-contexts

Keywords: bounded context, context map, ACL, subdomain, ubiquitous language Solves: The house ACL boundary and context-first source layout in references/ork-delta.md. Context mapping and integration patterns route upstream.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Domain Driven Design AI skill do?

DDD tactical patterns for complex business modeling including entities, value objects, aggregates, domain services, repositories, specifications, and bounded contexts. Python dataclass implementations with TypeScript alternatives. Use when building rich domain models, enforcing invariants, or separating domain logic from infrastructure.

Why use Domain Driven Design on TypingMind?

Because you install it once and use it with any model. Domain Driven Design 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 Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/domain-driven-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Domain Driven Design?

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 Design?

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

Is the Domain Driven Design AI skill free?

Yes. It is published on GitHub by yonatangross 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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