Agent Skills: Domain-Driven Design Tactical Patterns

Domain-Driven Design tactical patterns for complex business domains. Use when modeling entities, value objects, domain services, repositories, or establishing bounded contexts.

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src/skills/domain-driven-design/SKILL.md

Skill Metadata

Name
domain-driven-design
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."

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)

Load Read("${CLAUDE_SKILL_DIR}/references/entities-value-objects.md") for complete patterns.

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)

Load Read("${CLAUDE_SKILL_DIR}/references/entities-value-objects.md") for Address, DateRange examples.

Key Decisions

| Decision | Recommendation | |----------|----------------| | Entity vs VO | Has unique ID + lifecycle? Entity. Otherwise VO | | Entity equality | By ID, not attributes | | Value object mutability | Always immutable (frozen=True) | | Repository scope | One per aggregate root | | Domain events | Collect in entity, publish after persist | | Context boundaries | By business capability, not technical |

Rules Quick Reference

| Rule | Impact | What It Covers | |------|--------|----------------| | aggregate-boundaries (load ${CLAUDE_SKILL_DIR}/rules/aggregate-boundaries.md) | HIGH | Aggregate root design, reference by ID, one-per-transaction | | aggregate-invariants (load ${CLAUDE_SKILL_DIR}/rules/aggregate-invariants.md) | HIGH | Business rule enforcement, specification pattern | | aggregate-sizing (load ${CLAUDE_SKILL_DIR}/rules/aggregate-sizing.md) | HIGH | Right-sizing, when to split, eventual consistency |

When NOT to Use

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

| Pattern | Interview | Hackathon | MVP | Growth | Enterprise | Simpler Alternative | |---------|-----------|-----------|-----|--------|------------|---------------------| | Aggregates | OVERKILL | OVERKILL | OVERKILL | SELECTIVE | APPROPRIATE | Plain dataclasses with validation | | Bounded contexts | OVERKILL | OVERKILL | OVERKILL | BORDERLINE | APPROPRIATE | Python packages with clear imports | | CQRS | OVERKILL | OVERKILL | OVERKILL | OVERKILL | WHEN JUSTIFIED | Single model for read/write | | Value objects | OVERKILL | OVERKILL | BORDERLINE | APPROPRIATE | REQUIRED | Typed fields on the entity | | Domain events | OVERKILL | OVERKILL | OVERKILL | SELECTIVE | APPROPRIATE | Direct method calls between services | | Repository pattern | OVERKILL | OVERKILL | BORDERLINE | APPROPRIATE | REQUIRED | Direct 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!

Related Skills

  • aggregate-patterns - Deep dive on aggregate design
  • ork:distributed-systems - Cross-aggregate coordination
  • ork:database-patterns - Schema design for DDD

References

Load on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>"): | File | Content | |------|---------| | entities-value-objects.md | Full entity and value object patterns | | repositories.md | Repository pattern implementation | | domain-events.md | Event collection and publishing | | bounded-contexts.md | Context mapping and ACL |

Capability Details

entities

Keywords: entity, identity, lifecycle, mutable, domain object Solves: Model entities in Python, identity equality, adding behavior

value-objects

Keywords: value object, immutable, frozen, dataclass, structural equality Solves: Create immutable value objects, when to use VO vs entity

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: Define bounded contexts, integrate with ACL, context relationships

Domain-Driven Design Tactical Patterns Skill | Agent Skills