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domain-driven-design

yonatangross/orchestkit

DDD tactical patterns for rich domain modeling with entities, value objects, and aggregates.

What is domain-driven-design?

Implements Domain-Driven Design building blocks—entities, value objects, aggregates, domain services, repositories, and bounded contexts—for complex business logic. Use when modeling intricate domains with invariants that span multiple objects and need clear separation from infrastructure.

  • Define entities with identity and lifecycle using Python dataclasses
  • Create immutable value objects with frozen dataclasses and operator overloading
  • Establish aggregate boundaries and enforce business invariants
  • Implement repositories scoped to aggregate roots
  • Design domain services for cross-aggregate operations
  • Model bounded contexts to separate business subdomains

How to install domain-driven-design

npx skills add https://github.com/yonatangross/orchestkit --skill domain-driven-design
Prerequisites
  • Python 3.10+ (dataclasses with kw_only support)
  • Familiarity with object-oriented design and business domain concepts
  • Understanding of when DDD is justified (5+ entities with cross-entity invariants)
Claude Code
Cursor
Windsurf
Cline

How to use domain-driven-design

  1. 1.Identify entities (objects with unique identity and lifecycle) vs value objects (immutable, defined by attributes)
  2. 2.Define entities with `@dataclass` and implement `__eq__` and `__hash__` by ID
  3. 3.Create value objects with `@dataclass(frozen=True)` and immutable operations
  4. 4.Design aggregate roots and establish boundaries—one repository per aggregate
  5. 5.Implement domain services for operations spanning multiple aggregates
  6. 6.Use specifications to encapsulate complex business rules for querying and validation
  7. 7.Collect domain events in entities and publish after persistence

Use cases

Good for
  • Building an e-commerce order system with Order aggregates, Money value objects, and inventory constraints
  • Designing a payment processing domain with separate contexts for billing, reconciliation, and fraud detection
  • Modeling a multi-tenant SaaS platform where each tenant is a bounded context with its own ubiquitous language
  • Enforcing complex business rules like pricing tiers and discount eligibility across related entities
  • Separating domain logic from database and API concerns in a microservice
Who it's for
  • Backend architects designing complex business systems
  • Domain experts translating business requirements into code
  • Teams building microservices with rich domain models
  • Developers enforcing invariants and business rules at the domain layer

domain-driven-design FAQ

When should I use DDD vs plain dataclasses?

DDD adds ~40% code overhead. Only use it when you have 5+ entities with invariants spanning multiple objects. For CRUD apps or simple domains, plain dataclasses with validation are sufficient.

How do I handle identity in entities?

Use a unique ID field (UUID recommended, UUIDv7 preferred) and implement `__eq__` and `__hash__` based on ID only, not attributes. This ensures entities remain equal across state changes.

Why must value objects be immutable?

Immutability (`frozen=True`) prevents accidental mutations and makes value objects safe to share and use as dictionary keys. Operations return new instances rather than modifying existing ones.

What's the difference between a repository and a DAO?

A repository is scoped to an aggregate root and returns domain objects (not ORM models). It enforces aggregate boundaries and encapsulates persistence logic while keeping the domain layer infrastructure-agnostic.

How do I enforce business invariants?

Implement invariant checks in aggregate root methods, use the specification pattern for complex rules, and validate in `__post_init__`. Never allow invalid state to exist in memory.

Full instructions (SKILL.md)

Source of truth, from yonatangross/orchestkit.


name: domain-driven-design license: MIT compatibility: "Claude Code 2.1.277+." description: "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." context: fork agent: backend-system-architect user-invocable: false disable-model-invocation: true metadata: category: document-asset-creation version: "1.0.0" author: "OrchestKit" complexity: "medium" tags: "ddd, domain-modeling, entities, value-objects, bounded-contexts, python" allowed-tools:

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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)

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)

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)

# 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.