
Architecture Patterns
- 376 installs
- 202 repo stars
- Updated August 4, 2026
- secondsky/claude-skills
architecture-patterns is an agent skill that implements Clean Architecture, Hexagonal Architecture, and Domain-Driven Design patterns for developers architecting or refactoring complex maintainable backend systems.
About
architecture-patterns is an MIT-licensed agent skill in secondsky/claude-skills that teaches proven backend structuring approaches: Clean Architecture, Hexagonal Architecture (ports and adapters), and Domain-Driven Design for maintainable, testable, scalable services. Developers reach for architecture-patterns when greenfield APIs outgrow ad hoc folders, when monolith modules need clearer domain boundaries, or when teams standardize layering rules before multi-team expansion. The SKILL.md triggers include designing new backend systems, refactoring monoliths for maintainability, and establishing architecture standards during migrations. The workflow emphasizes dependency direction, isolating domain logic from infrastructure, defining bounded contexts, and keeping tests fast via decoupled adapters. Use during system design reviews or large refactors. Skip for single-route prototypes, frontend-only tasks, or small scripts where formal layering overhead exceeds benefit.
- architecture-patterns
Architecture Patterns by the numbers
- 376 all-time installs (skills.sh)
- +20 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #1,144 of 4,347 Backend & APIs skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 376 |
|---|---|
| repo stars | ★ 202 |
| Last updated | August 4, 2026 |
| Repository | secondsky/claude-skills ↗ |
How do you apply Clean Architecture to backend services?
Use architecture-patterns for development tasks
Who is it for?
Backend developers designing new services or refactoring monoliths who need Clean Architecture, Hexagonal, or DDD layering standards with testable domain cores.
Skip if: Single-file prototypes, frontend-only UI work, or small CRUD apps where formal layered architecture adds unnecessary ceremony.
When should I use this skill?
User asks to design backend architecture with Clean Architecture, Hexagonal ports-and-adapters, DDD bounded contexts, or refactor a monolith for maintainability.
What you get
Layer diagram, module boundary plan, ports-and-adapters mapping, and DDD bounded-context notes for the backend codebase.
- Layer and module boundary plan
- Ports-and-adapters mapping
- Bounded-context outline
By the numbers
- Documents 3 backend architecture patterns: Clean, Hexagonal, and DDD
Files
Architecture Patterns
Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
When to Use This Skill
- Designing new backend systems from scratch
- Refactoring monolithic applications for better maintainability
- Establishing architecture standards for your team
- Migrating from tightly coupled to loosely coupled architectures
- Implementing domain-driven design principles
- Creating testable and mockable codebases
- Planning microservices decomposition
Core Concepts
1. Clean Architecture (Uncle Bob)
Layers (dependency flows inward):
- Entities: Core business models
- Use Cases: Application business rules
- Interface Adapters: Controllers, presenters, gateways
- Frameworks & Drivers: UI, database, external services
Key Principles:
- Dependencies point inward
- Inner layers know nothing about outer layers
- Business logic independent of frameworks
- Testable without UI, database, or external services
2. Hexagonal Architecture (Ports and Adapters)
Components:
- Domain Core: Business logic
- Ports: Interfaces defining interactions
- Adapters: Implementations of ports (database, REST, message queue)
Benefits:
- Swap implementations easily (mock for testing)
- Technology-agnostic core
- Clear separation of concerns
3. Domain-Driven Design (DDD)
Strategic Patterns:
- Bounded Contexts: Separate models for different domains
- Context Mapping: How contexts relate
- Ubiquitous Language: Shared terminology
Tactical Patterns:
- Entities: Objects with identity
- Value Objects: Immutable objects defined by attributes
- Aggregates: Consistency boundaries
- Repositories: Data access abstraction
- Domain Events: Things that happened
Clean Architecture Pattern
Directory Structure
app/
├── domain/ # Entities & business rules
│ ├── entities/
│ ├── value_objects/
│ └── interfaces/ # Abstract interfaces
├── use_cases/ # Application business rules
├── adapters/ # Interface implementations
│ ├── repositories/
│ ├── controllers/
│ └── gateways/
└── infrastructure/ # Framework & external concernsImplementation Example
# 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):
"""Business rule: deactivating user."""
self.is_active = False
def can_place_order(self) -> bool:
"""Business rule: active users can order."""
return self.is_active
# domain/interfaces/user_repository.py
from abc import ABC, abstractmethod
from typing import Optional
class IUserRepository(ABC):
"""Port: defines contract, no implementation."""
@abstractmethod
async def find_by_id(self, user_id: str) -> Optional[User]:
pass
@abstractmethod
async def save(self, user: User) -> User:
pass
# use_cases/create_user.py
from dataclasses import dataclass
import uuid
from datetime import datetime
@dataclass
class CreateUserRequest:
email: str
name: str
class CreateUserUseCase:
"""Use case: orchestrates business logic."""
def __init__(self, user_repository: IUserRepository):
self.user_repository = user_repository
async def execute(self, request: CreateUserRequest) -> CreateUserResponse:
# Business validation
existing = await self.user_repository.find_by_email(request.email)
if existing:
return CreateUserResponse(user=None, success=False, error="Email already exists")
# Create entity
user = User(
id=str(uuid.uuid4()),
email=request.email,
name=request.name,
created_at=datetime.now(),
is_active=True
)
# Persist
saved_user = await self.user_repository.save(user)
return CreateUserResponse(user=saved_user, success=True)
# adapters/repositories/postgres_user_repository.py
class PostgresUserRepository(IUserRepository):
"""Adapter: PostgreSQL implementation."""
def __init__(self, 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 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 userHexagonal Architecture Pattern
# Core domain (hexagon center)
class OrderService:
"""Domain service - no infrastructure dependencies."""
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:
# Business logic
if not order.is_valid():
return OrderResult(success=False, error="Invalid order")
# Use ports (interfaces)
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)
# Adapters
class StripePaymentAdapter(PaymentGatewayPort):
"""Primary adapter: connects to Stripe API."""
async def charge(self, amount: Money, customer: str) -> PaymentResult:
# Implementation
class MockPaymentAdapter(PaymentGatewayPort):
"""Test adapter: no external dependencies."""
async def charge(self, amount: Money, customer: str) -> PaymentResult:
return PaymentResult(success=True, transaction_id="mock-123")Domain-Driven Design Pattern
# Value Objects (immutable)
@dataclass(frozen=True)
class Email:
value: str
def __post_init__(self):
if "@" not in self.value:
raise ValueError("Invalid email")
@dataclass(frozen=True)
class Money:
amount: int # cents
currency: str
def add(self, other: "Money") -> "Money":
if self.currency != other.currency:
raise ValueError("Currency mismatch")
return Money(self.amount + other.amount, self.currency)
# Entities (with identity)
class Order:
def __init__(self, id: str, customer: Customer):
self.id = id
self.customer = customer
self.items: List[OrderItem] = []
self.status = OrderStatus.PENDING
self._events: List[DomainEvent] = []
def add_item(self, product: Product, quantity: int):
item = OrderItem(product, quantity)
self.items.append(item)
self._events.append(ItemAddedEvent(self.id, item))
def submit(self):
if not self.items:
raise ValueError("Cannot submit empty order")
self.status = OrderStatus.SUBMITTED
self._events.append(OrderSubmittedEvent(self.id))
# Aggregates (consistency boundary)
class Customer:
def __init__(self, id: str, email: Email):
self.id = id
self.email = email
self._addresses: List[Address] = []
def add_address(self, address: Address):
if len(self._addresses) >= 5:
raise ValueError("Maximum 5 addresses allowed")
self._addresses.append(address)Best Practices
1. Dependency Rule: Dependencies always point inward 2. Interface Segregation: Small, focused interfaces 3. Business Logic in Domain: Keep frameworks out of core 4. Test Independence: Core testable without infrastructure 5. Bounded Contexts: Clear domain boundaries 6. Ubiquitous Language: Consistent terminology 7. Thin Controllers: Delegate to use cases 8. Rich Domain Models: Behavior with data
Common Pitfalls
- Anemic Domain: Entities with only data, no behavior
- Framework Coupling: Business logic depends on frameworks
- Fat Controllers: Business logic in controllers
- Repository Leakage: Exposing ORM objects
- Missing Abstractions: Concrete dependencies in core
- Over-Engineering: Clean architecture for simple CRUD
Related skills
How it compares
Use architecture-patterns for layered backend design; use API rate-limiting or security skills when the immediate need is endpoint hardening rather than module structure.
FAQ
Which architecture patterns does architecture-patterns teach?
architecture-patterns covers Clean Architecture, Hexagonal Architecture (ports and adapters), and Domain-Driven Design for backend systems needing clearer boundaries and testability.
When should architecture-patterns guide a refactor?
architecture-patterns fits when monolith modules blur domain and infrastructure concerns or when teams need shared layering rules before scaling multi-service development.
Does architecture-patterns cover frontend React structure?
architecture-patterns focuses on backend layering and domain boundaries; frontend component architecture requires separate UI-focused skills.