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npx versuz@latest install wshobson-agents-plugins-backend-development-skills-architecture-patternsgit clone https://github.com/wshobson/agents.gitcp agents/SKILL.MD ~/.claude/skills/wshobson-agents-plugins-backend-development-skills-architecture-patterns/SKILL.md---
name: architecture-patterns
description: Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.
---
# Architecture Patterns
Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
**Given:** a service boundary or module to architect.
**Produces:** layered structure with clear dependency rules, interface definitions, and test boundaries.
## When to Use This Skill
- Designing new backend services or microservices from scratch
- Refactoring monolithic applications where business logic is entangled with ORM models or HTTP concerns
- Establishing bounded contexts before splitting a system into services
- Debugging dependency cycles where infrastructure code bleeds into the domain layer
- Creating testable codebases where use-case tests do not require a running database
- Implementing domain-driven design tactical patterns (aggregates, value objects, domain events)
## Core Concepts
### 1. Clean Architecture (Uncle Bob)
**Layers (dependency flows inward):**
- **Entities**: Core business models, no framework imports
- **Use Cases**: Application business rules, orchestrate entities
- **Interface Adapters**: Controllers, presenters, gateways — translate between use cases and external formats
- **Frameworks & Drivers**: UI, database, external services — all at the outermost ring
**Key Principles:**
- Dependencies point inward only; inner layers know nothing about outer layers
- Business logic is independent of frameworks, databases, and delivery mechanisms
- Every layer boundary is crossed via an abstract interface
- Testable without UI, database, or external services
### 2. Hexagonal Architecture (Ports and Adapters)
**Components:**
- **Domain Core**: Business logic lives here, framework-free
- **Ports**: Abstract interfaces that define how the core interacts with the outside world (driving and driven)
- **Adapters**: Concrete implementations of ports (PostgreSQL adapter, Stripe adapter, REST adapter)
**Benefits:**
- Swap implementations without touching the core (e.g., replace PostgreSQL with DynamoDB)
- Use in-memory adapters in tests — no Docker required
- Technology decisions deferred to the edges
### 3. Domain-Driven Design (DDD)
**Strategic Patterns:**
- **Bounded Contexts**: Isolate a coherent model for one subdomain; avoid sharing a single model across the whole system
- **Context Mapping**: Define how contexts relate (Anti-Corruption Layer, Shared Kernel, Open Host Service)
- **Ubiquitous Language**: Every term in code matches the term used by domain experts
**Tactical Patterns:**
- **Entities**: Objects with stable identity that change over time
- **Value Objects**: Immutable objects identified by their attributes (Email, Money, Address)
- **Aggregates**: Consistency boundaries; only the root is accessible from outside
- **Repositories**: Persist and reconstitute aggregates; abstract over the storage mechanism
- **Domain Events**: Capture things that happened inside the domain; used for cross-aggregate coordination
## Clean Architecture — Directory Structure
```
app/
├── domain/ # Entities, value objects, interfaces
│ ├── entities/
│ │ ├── user.py
│ │ └── order.py
│ ├── value_objects/
│ │ ├── email.py
│ │ └── money.py
│ └── interfaces/ # Abstract ports (no implementations)
│ ├── user_repository.py
│ └── payment_gateway.py
├── use_cases/ # Application business rules
│ ├── create_user.py
│ ├── process_order.py
│ └── send_notification.py
├── adapters/ # Concrete implementations
│ ├── repositories/
│ │ ├── postgres_user_repository.py
│ │ └── redis_cache_repository.py
│ ├── controllers/
│ │ └── user_controller.py
│ └── gateways/
│ ├── stripe_payment_gateway.py
│ └── sendgrid_email_gateway.py
└── infrastructure/ # Framework wiring, config, DI container
├── database.py
├── config.py
└── logging.py
```
**Dependency rule in one sentence:** every `import` statement in `domain/` and `use_cases/` must point only toward `domain/`; nothing in those layers may import from `adapters/` or `infrastructure/`.
## Clean Architecture — Core Implementation
```python
# domain/entities/user.py
from dataclasses import dataclass
from datetime import datetime
@dataclass
class User:
"""Core user entity — no framework dependencies."""
id: str
email: str
name: str
created_at: datetime
is_active: bool = True
def deactivate(self):
self.is_active = False
def can_place_order(self) -> bool:
return self.is_active
# domain/interfaces/user_repository.py
from abc import ABC, abstractmethod
from typing import Optional
from domain.entities.user import User
class IUserRepository(ABC):
"""Port: defines contract, no implementation details."""
@abstractmethod
async def find_by_id(self, user_id: str) -> Optional[User]: ...
@abstractmethod
async def find_by_email(self, email: str) -> Optional[User]: ...
@abstractmethod
async def save(self, user: User) -> User: ...
@abstractmethod
async def delete(self, user_id: str) -> bool: ...
# use_cases/create_user.py
from dataclasses import dataclass
from datetime import datetime
from typing import Optional
import uuid
from domain.entities.user import User
from domain.interfaces.user_repository import IUserRepository
@dataclass
class CreateUserRequest:
email: str
name: str
@dataclass
class CreateUserResponse:
user: Optional[User]
success: bool
error: Optional[str] = None
class CreateUserUseCase:
"""Use case: orchestrates business logic, no HTTP or DB details."""
def __init__(self, user_repository: IUserRepository):
self.user_repository = user_repository
async def execute(self, request: CreateUserRequest) -> CreateUserResponse:
existing = await self.user_repository.find_by_email(request.email)
if existing:
return CreateUserResponse(user=None, success=False, error="Email already exists")
user = User(
id=str(uuid.uuid4()),
email=request.email,
name=request.name,
created_at=datetime.now(),
)
saved_user = await self.user_repository.save(user)
return CreateUserResponse(user=saved_user, success=True)
# adapters/repositories/postgres_user_repository.py
from domain.interfaces.user_repository import IUserRepository
from domain.entities.user import User
from typing import Optional
import asyncpg
class PostgresUserRepository(IUserRepository):
"""Adapter: PostgreSQL implementation of the user port."""
def __init__(self, pool: asyncpg.Pool):
self.pool = pool
async def find_by_id(self, user_id: str) -> Optional[User]:
async with self.pool.acquire() as conn:
row = await conn.fetchrow("SELECT * FROM users WHERE id = $1", user_id)
return self._to_entity(row) if row else None
async def find_by_email(self, email: str) -> Optional[User]:
async with self.pool.acquire() as conn:
row = await conn.fetchrow("SELECT * FROM users WHERE email = $1", email)
return self._to_entity(row) if row else None
async def save(self, user: User) -> User:
async with self.pool.acquire() as conn:
await conn.execute(
"""
INSERT INTO users (id, email, name, created_at, is_active)
VALUES ($1, $2, $3, $4, $5)
ON CONFLICT (id) DO UPDATE
SET email = $2, name = $3, is_active = $5
""",
user.id, user.email, user.name, user.created_at, user.is_active,
)
return user
async def delete(self, user_id: str) -> bool:
async with self.pool.acquire() as conn:
result = await conn.execute("DELETE FROM users WHERE id = $1", user_id)
return result == "DELETE 1"
def _to_entity(self, row) -> User:
return User(
id=row["id"], email=row["email"], name=row["name"],
created_at=row["created_at"], is_active=row["is_active"],
)
# adapters/controllers/user_controller.py
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel
from use_cases.create_user import CreateUserUseCase, CreateUserRequest
router = APIRouter()
class CreateUserDTO(BaseModel):
email: str
name: str
@router.post("/users")
async def create_user(
dto: CreateUserDTO,
use_case: CreateUserUseCase = Depends(get_create_user_use_case),
):
"""Controller handles HTTP only — no business logic lives here."""
response = await use_case.execute(CreateUserRequest(email=dto.email, name=dto.name))
if not response.success:
raise HTTPException(status_code=400, detail=response.error)
return {"user": response.user}
```
## Hexagonal Architecture — Ports and Adapters
```python
# Core domain service — no infrastructure dependencies
class OrderService:
def __init__(
self,
order_repository: OrderRepositoryPort,
payment_gateway: PaymentGatewayPort,
notification_service: NotificationPort,
):
self.orders = order_repository
self.payments = payment_gateway
self.notifications = notification_service
async def place_order(self, order: Order) -> OrderResult:
if not order.is_valid():
return OrderResult(success=False, error="Invalid order")
payment = await self.payments.charge(amount=order.total, customer=order.customer_id)
if not payment.success:
return OrderResult(success=False, error="Payment failed")
order.mark_as_paid()
saved_order = await self.orders.save(order)
await self.notifications.send(
to=order.customer_email,
subject="Order confirmed",
body=f"Order {order.id} confirmed",
)
return OrderResult(success=True, order=saved_order)
# Ports (driving and driven interfaces)
class OrderRepositoryPort(ABC):
@abstractmethod
async def save(self, order: Order) -> Order: ...
class PaymentGatewayPort(ABC):
@abstractmethod
async def charge(self, amount: Money, customer: str) -> PaymentResult: ...
class NotificationPort(ABC):
@abstractmethod
async def send(self, to: str, subject: str, body: str): ...
# Production adapter: Stripe
class StripePaymentAdapter(PaymentGatewayPort):
def __init__(self, api_key: str):
import stripe
stripe.api_key = api_key
self._stripe = stripe
async def charge(self, amount: Money, customer: str) -> PaymentResult:
try:
charge = self._stripe.Charge.create(
amount=amount.cents, currency=amount.currency, customer=customer
)
return PaymentResult(success=True, transaction_id=charge.id)
except self._stripe.error.CardError as e:
return PaymentResult(success=False, error=str(e))
# Test adapter: no external dependencies
class MockPaymentAdapter(PaymentGatewayPort):
async def charge(self, amount: Money, customer: str) -> PaymentResult:
return PaymentResult(success=True, transaction_id="mock-txn-123")
```
## DDD — Value Objects and Aggregates
```python
# Value Objects: immutable, validated at construction
from dataclasses import dataclass
@dataclass(frozen=True)
class Email:
value: str
def __post_init__(self):
if "@" not in self.value or "." not in self.value.split("@")[-1]:
raise ValueError(f"Invalid email: {self.value}")
@dataclass(frozen=True)
class Money:
amount: int # cents
currency: str
def __post_init__(self):
if self.amount < 0:
raise ValueError("Money amount cannot be negative")
if self.currency not in {"USD", "EUR", "GBP"}:
raise ValueError(f"Unsupported currency: {self.currency}")
def add(self, other: "Money") -> "Money":
if self.currency != other.currency:
raise ValueError("Currency mismatch")
return Money(self.amount + other.amount, self.currency)
# Aggregate root: enforces all invariants for its cluster of entities
class Order:
def __init__(self, id: str, customer_id: str):
self.id = id
self.customer_id = customer_id
self.items: list[OrderItem] = []
self.status = OrderStatus.PENDING
self._events: list[DomainEvent] = []
def add_item(self, product: Product, quantity: int):
if self.status != OrderStatus.PENDING:
raise ValueError("Cannot modify a submitted order")
item = OrderItem(product=product, quantity=quantity)
self.items.append(item)
self._events.append(ItemAddedEvent(order_id=self.id, item=item))
@property
def total(self) -> Money:
totals = [item.subtotal() for item in self.items]
return sum(totals[1:], totals[0]) if totals else Money(0, "USD")
def submit(self):
if not self.items:
raise ValueError("Cannot submit an empty order")
if self.status != OrderStatus.PENDING:
raise ValueError("Order already submitted")
self.status = OrderStatus.SUBMITTED
self._events.append(OrderSubmittedEvent(order_id=self.id))
def pop_events(self) -> list[DomainEvent]:
events, self._events = self._events, []
return events
# Repository: persist and reconstitute aggregates
class OrderRepository(ABC):
@abstractmethod
async def find_by_id(self, order_id: str) -> Optional[Order]: ...
@abstractmethod
async def save(self, order: Order) -> None: ...
# Implementations persist events via pop_events() after writing state
```
## Testing — In-Memory Adapters
The hallmark of correctly applied Clean Architecture is that every use case can be exercised in a plain unit test with no real database, no Docker, and no network:
```python
# tests/unit/test_create_user.py
import asyncio
from typing import Dict, Optional
from domain.entities.user import User
from domain.interfaces.user_repository import IUserRepository
from use_cases.create_user import CreateUserUseCase, CreateUserRequest
class InMemoryUserRepository(IUserRepository):
def __init__(self):
self._store: Dict[str, User] = {}
async def find_by_id(self, user_id: str) -> Optional[User]:
return self._store.get(user_id)
async def find_by_email(self, email: str) -> Optional[User]:
return next((u for u in self._store.values() if u.email == email), None)
async def save(self, user: User) -> User:
self._store[user.id] = user
return user
async def delete(self, user_id: str) -> bool:
return self._store.pop(user_id, None) is not None
async def test_create_user_succeeds():
repo = InMemoryUserRepository()
use_case = CreateUserUseCase(user_repository=repo)
response = await use_case.execute(CreateUserRequest(email="alice@example.com", name="Alice"))
assert response.success
assert response.user.email == "alice@example.com"
assert response.user.id is not None
async def test_duplicate_email_rejected():
repo = InMemoryUserRepository()
use_case = CreateUserUseCase(user_repository=repo)
await use_case.execute(CreateUserRequest(email="alice@example.com", name="Alice"))
response = await use_case.execute(CreateUserRequest(email="alice@example.com", name="Alice2"))
assert not response.success
assert "already exists" in response.error
```
## Troubleshooting
### Use case tests require a running database
Business logic has leaked into the infrastructure layer. Move all database calls behind an `IRepository` interface and inject an in-memory implementation in tests (see Testing section above). The use case constructor must accept the abstract port, not the concrete class.
### Circular imports between layers
A common symptom is `ImportError: cannot import name X` between `use_cases` and `adapters`. This happens when a use case imports a concrete adapter class instead of the abstract port. Enforce the rule: `use_cases/` imports only from `domain/` (entities and interfaces). It must never import from `adapters/` or `infrastructure/`.
### Framework decorators appearing in domain entities
If SQLAlchemy `Column()` or Pydantic `Field()` annotations appear on domain entities, the entity is no longer pure. Create a separate ORM model in `adapters/repositories/` and map to/from the domain entity in the repository's `_to_entity()` method.
### All logic ending up in controllers
When the controller grows beyond HTTP parsing and response formatting, extract the logic into a use case class. A controller method should do three things only: parse the request, call a use case, map the response.
### Value objects raising errors too late
Validate invariants in `__post_init__` (Python) or the constructor so an invalid `Email` or `Money` cannot be constructed at all. This surfaces bad data at the boundary, not deep inside business logic.
### Context bleed across bounded contexts
If the `Order` context is importing `User` entities from the `Identity` context, introduce an Anti-Corruption Layer. The `Order` context should hold its own lightweight `CustomerId` value object and only call the `Identity` context through an explicit interface.
## Advanced Patterns
For detailed DDD bounded context mapping, full multi-service project trees, Anti-Corruption Layer implementations, and Onion Architecture comparisons, see:
- [`references/advanced-patterns.md`](references/advanced-patterns.md)
## Related Skills
- `microservices-patterns` — Apply these architecture patterns when decomposing a monolith into services
- `cqrs-implementation` — Use Clean Architecture as the structural foundation for CQRS command/query separation
- `saga-orchestration` — Sagas require well-defined aggregate boundaries, which DDD tactical patterns provide
- `event-store-design` — Domain events produced by aggregates feed directly into an event store