agentleFS
piominpiomin/claude-ai-spring-boot/skills/design-patterns/SKILL.md

design-patterns

Skill1.4k starsChanged 5 days agoApache-2.0View on GitHub

Design patterns with Java examples - classic (Factory, Builder, Strategy, Observer, Decorator, Adapter) and enterprise/microservices (Saga, Outbox, CQRS). Use when user asks about patterns, designing extensible components, or distributed transaction strategies.

33 other projects use a version of this, 5 of them edited.

Adopted by

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 0 new projectsWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Most recently taken up by

Who's talking about piomin/claude-ai-spring-boot

The biggest 5 of 17 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 17

Talked about on GitHub (17 times).

On GitHub · 17

12 more on GitHub

Used with

Projects with it also use tdd-rust, solid-principles and 7 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • FlorianBruniauxSkill

    tdd-rust

    Also in 3 projects that use this

  • nek1987Skill

    solid-principles

    SOLID object-oriented design principles for maintainable code

    Also in 5 projects that use this

  • ufodev-ioSkill

    security-guardian

    Comprehensive security layer for all interactions with Claude: audits code, dependencies, commands, configs, and AI-generated output for vulnerabilities. Protects against prompt injection, data leaks, unsafe advice, and social engineering. Works in Cursor, Claude Code, claude.ai, and API contexts. Use always as a background security protocol in any Claude-powered environment.

    Also in 3 projects that use this

  • DIL8654Skill

    api-contract-review

    Review ASP.NET Core Web API contracts for HTTP semantics, versioning, backward compatibility, and response consistency. Use when the user asks to review an API, check endpoints, validate REST behavior, or before releasing contract changes.

    Also in 3 projects that use this

  • zavierSkill

    java-code-review

    Java代码审查技能,通过比较两个git分支进行自动化代码审查

    Also in 3 projects that use this

  • tossSkill

    pr-triage

    Classify and summarize a PR for efficient review

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 32 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Problem: Create objects without knowing exact class upfront

    line 81
  2. Distinctive:

    Problem: Add behavior dynamically without modifying class

    line 212
  3. Distinctive:

    Problem: Read and write models have different optimization needs

    line 422
  4. Distinctive:

    Read/write ratio is heavily skewed (many reads, few writes)

    line 512
  5. Distinctive:

    Read model needs different shape than write model (denormalized views)

    line 513

“Common” is measured: kept by at least 6 in 10 of the 32 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Design Patterns Skill

Quick reference for common design patterns in Java.

When to Use

  • User asks to implement a specific pattern
  • Designing extensible/flexible components
  • Refactoring rigid code

Quick Reference: When to Use What

ProblemPatternUse When
Complex object constructionBuilderMany parameters, some optional
Create objects without specifying classFactoryType determined at runtime
Multiple algorithms, swap at runtimeStrategyBehavior varies by context
Add behavior without changing classDecoratorDynamic composition needed
Notify multiple objects of changesObserverOne-to-many dependency
Convert incompatible interfacesAdapterIntegrate legacy/3rd party code
DB update + event publish atomicallyOutboxDual-write problem in microservices
Distributed transaction across servicesSagaMulti-service business process
Separate read/write modelsCQRSHeavy read/write ratio skew

Creational Patterns

Builder

Problem: Telescoping constructors, many optional parameters

// ✅ Builder pattern
public class User {
    private final String name;  // required
    private final String email; // required
    private final int age;      // optional

    private User(Builder builder) {
        this.name = builder.name;
        this.email = builder.email;
        this.age = builder.age;
    }

    public static Builder builder(String name, String email) {
        return new Builder(name, email);
    }

    public static class Builder {
        private final String name;
        private final String email;
        private int age = 0;

        private Builder(String name, String email) {
            this.name = name;
            this.email = email;
        }

        public Builder age(int age) {
            this.age = age;
            return this;
        }

        public User build() {
            return new User(this);
        }
    }
}

// Usage
User user = User.builder("John", "john@example.com")
    .age(30)
    .build();

Factory

Problem: Create objects without knowing exact class upfront

// ✅ Factory pattern
public interface Notification {
    void send(String message);
}

public class NotificationFactory {
    public static Notification create(String type) {
        return switch (type.toUpperCase()) {
            case "EMAIL" -> new EmailNotification();
            case "SMS" -> new SmsNotification();
            case "PUSH" -> new PushNotification();
            default -> throw new IllegalArgumentException("Unknown: " + type);
        };
    }
}

// Spring version - preferred
@Component
public class NotificationFactory {
    private final Map<String, NotificationSender> senders;

    public NotificationFactory(List<NotificationSender> senderList) {
        this.senders = senderList.stream()
            .collect(Collectors.toMap(
                NotificationSender::getType,
                Function.identity()
            ));
    }

    public NotificationSender get(String type) {
        return Optional.ofNullable(senders.get(type))
            .orElseThrow(() -> new IllegalArgumentException("Unknown: " + type));
    }
}

Behavioral Patterns

Strategy

Problem: Multiple algorithms for same operation, choose at runtime

// ✅ Strategy pattern
public interface PaymentStrategy {
    void pay(BigDecimal amount);
}

public class CreditCardPayment implements PaymentStrategy {
    private final String cardNumber;

    public CreditCardPayment(String cardNumber) {
        this.cardNumber = cardNumber;
    }

    @Override
    public void pay(BigDecimal amount) {
        System.out.println("Paid " + amount + " with card " + cardNumber);
    }
}

public class ShoppingCart {
    private PaymentStrategy paymentStrategy;

    public void setPaymentStrategy(PaymentStrategy strategy) {
        this.paymentStrategy = strategy;
    }

    public void checkout(BigDecimal total) {
        paymentStrategy.pay(total);
    }
}

// Usage
cart.setPaymentStrategy(new CreditCardPayment("4111..."));
cart.checkout(new BigDecimal("99.99"));

// Functional variant (Java 8+)
@FunctionalInterface
public interface PaymentStrategy {
    void pay(BigDecimal amount);
}

PaymentStrategy creditCard = amount -> System.out.println("Card: " + amount);
cart.setPaymentStrategy(creditCard);

Observer

Problem: Notify multiple objects when state changes

// ✅ Spring Events (preferred)
public record OrderPlacedEvent(Order order) {}

@Service
public class OrderService {
    private final ApplicationEventPublisher eventPublisher;

    public void placeOrder(Order order) {
        saveOrder(order);
        eventPublisher.publishEvent(new OrderPlacedEvent(order));
    }
}

@Component
public class InventoryListener {
    @EventListener
    public void handleOrderPlaced(OrderPlacedEvent event) {
        // Reduce inventory
    }
}

@Component
public class EmailListener {
    @EventListener
    @Async
    public void handleOrderPlaced(OrderPlacedEvent event) {
        // Send email
    }
}

Structural Patterns

Decorator

Problem: Add behavior dynamically without modifying class

// ✅ Decorator pattern
public interface Coffee {
    String getDescription();
    BigDecimal getCost();
}

public class SimpleCoffee implements Coffee {
    public String getDescription() { return "Coffee"; }
    public BigDecimal getCost() { return new BigDecimal("2.00"); }
}

public abstract class CoffeeDecorator implements Coffee {
    protected final Coffee coffee;
    public CoffeeDecorator(Coffee coffee) { this.coffee = coffee; }
}

public class MilkDecorator extends CoffeeDecorator {
    public MilkDecorator(Coffee coffee) { super(coffee); }

    public String getDescription() {
        return coffee.getDescription() + ", Milk";
    }

    public BigDecimal getCost() {
        return coffee.getCost().add(new BigDecimal("0.50"));
    }
}

// Usage
Coffee coffee = new SimpleCoffee();
coffee = new MilkDecorator(coffee);
coffee = new SugarDecorator(coffee);

Adapter

Problem: Make incompatible interfaces work together

// ✅ Adapter pattern
public interface MediaPlayer {
    void play(String filename);
}

// Legacy code
public class LegacyAudioPlayer {
    public void playMp3(String filename) { /* ... */ }
}

// Adapter
public class Mp3PlayerAdapter implements MediaPlayer {
    private final LegacyAudioPlayer legacyPlayer = new LegacyAudioPlayer();

    @Override
    public void play(String filename) {
        legacyPlayer.playMp3(filename);
    }
}

// Usage
MediaPlayer player = new Mp3PlayerAdapter();
player.play("song.mp3");

Enterprise / Microservices Patterns

Transactional Outbox

Problem: Atomically update database AND publish an event (dual-write problem)

// ✅ Outbox pattern - write event to DB in same transaction, poll and publish later
@Entity
@Table(name = "outbox_events")
public class OutboxEvent {
    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    private String aggregateType;
    private String aggregateId;
    private String eventType;

    @Column(columnDefinition = "TEXT")
    private String payload;

    private LocalDateTime createdAt;
    private boolean published;

    // getters/setters
}

@Service
public class OrderService {
    private final OrderRepository orderRepository;
    private final OutboxEventRepository outboxRepository;

    public OrderService(OrderRepository orderRepository, OutboxEventRepository outboxRepository) {
        this.orderRepository = orderRepository;
        this.outboxRepository = outboxRepository;
    }

    @Transactional
    public Order createOrder(OrderRequest request) {
        Order order = new Order();
        order.setStatus(OrderStatus.CREATED);
        order = orderRepository.save(order);

        OutboxEvent event = new OutboxEvent();
        event.setAggregateType("Order");
        event.setAggregateId(order.getId().toString());
        event.setEventType("OrderCreated");
        event.setPayload(toJson(order));
        event.setCreatedAt(LocalDateTime.now());
        event.setPublished(false);
        outboxRepository.save(event);

        return order;
    }
}

// Poller publishes events and marks them as published
@Component
public class OutboxPoller {
    private final OutboxEventRepository outboxRepository;
    private final KafkaTemplate<String, String> kafka;

    public OutboxPoller(OutboxEventRepository outboxRepository,
                        KafkaTemplate<String, String> kafka) {
        this.outboxRepository = outboxRepository;
        this.kafka = kafka;
    }

    @Scheduled(fixedDelay = 1000)
    @Transactional
    public void publishPendingEvents() {
        List<OutboxEvent> events = outboxRepository.findByPublishedFalse();
        for (OutboxEvent event : events) {
            kafka.send(event.getAggregateType(), event.getAggregateId(), event.getPayload());
            event.setPublished(true);
        }
    }
}

Saga (Choreography)

Problem: Distributed transaction across multiple microservices

// ✅ Choreography-based saga - each service listens and reacts
// Order Service publishes OrderCreated
@Service
public class OrderService {
    private final ApplicationEventPublisher eventPublisher;
    private final OrderRepository orderRepository;

    public OrderService(ApplicationEventPublisher eventPublisher, OrderRepository orderRepository) {
        this.eventPublisher = eventPublisher;
        this.orderRepository = orderRepository;
    }

    @Transactional
    public Order createOrder(OrderRequest request) {
        Order order = new Order();
        order.setStatus(OrderStatus.PENDING);
        order = orderRepository.save(order);
        eventPublisher.publishEvent(new OrderCreatedEvent(order.getId(), request.items()));
        return order;
    }

    @Transactional
    public void handlePaymentFailed(Long orderId) {
        Order order = orderRepository.findById(orderId).orElseThrow();
        order.setStatus(OrderStatus.CANCELLED);
        orderRepository.save(order);
    }
}

// Payment Service listens to OrderCreated, publishes PaymentCompleted or PaymentFailed
@Component
public class PaymentEventHandler {
    private final PaymentService paymentService;

    public PaymentEventHandler(PaymentService paymentService) {
        this.paymentService = paymentService;
    }

    @KafkaListener(topics = "order-events")
    public void handleOrderCreated(OrderCreatedEvent event) {
        try {
            paymentService.charge(event.orderId(), event.amount());
            // Publish PaymentCompleted
        } catch (PaymentException e) {
            // Publish PaymentFailed → triggers compensating action
        }
    }
}

Choreography vs Orchestration:

AspectChoreographyOrchestration
CouplingLow - services react to eventsHigher - orchestrator knows all steps
ComplexityHard to trace full flowCentralized, easier to understand
Use whenFew steps, simple flowsMany steps, complex compensation

CQRS (Command Query Responsibility Segregation)

Problem: Read and write models have different optimization needs

// ✅ CQRS - separate command and query models

// Command side - normalized, validates business rules
@Service
@Transactional
public class OrderCommandService {
    private final OrderRepository orderRepository;
    private final ApplicationEventPublisher eventPublisher;

    public OrderCommandService(OrderRepository orderRepository,
                                ApplicationEventPublisher eventPublisher) {
        this.orderRepository = orderRepository;
        this.eventPublisher = eventPublisher;
    }

    public Long createOrder(CreateOrderCommand command) {
        Order order = new Order();
        order.setCustomerId(command.customerId());
        order.setStatus(OrderStatus.CREATED);
        command.items().forEach(order::addItem);
        order = orderRepository.save(order);
        eventPublisher.publishEvent(new OrderCreatedEvent(order));
        return order.getId();
    }
}

// Query side - denormalized, optimized for reads
@Service
@Transactional(readOnly = true)
public class OrderQueryService {
    private final OrderViewRepository viewRepository;

    public OrderQueryService(OrderViewRepository viewRepository) {
        this.viewRepository = viewRepository;
    }

    public OrderView findById(Long id) {
        return viewRepository.findById(id)
            .orElseThrow(() -> new EntityNotFoundException("Order not found"));
    }

    public Page<OrderView> findByCustomer(Long customerId, Pageable pageable) {
        return viewRepository.findByCustomerId(customerId, pageable);
    }
}

// Read model - flat, pre-joined
@Entity
@Table(name = "order_views")
public class OrderView {
    @Id
    private Long id;
    private Long customerId;
    private String customerName;
    private String status;
    private BigDecimal totalAmount;
    private int itemCount;
    private LocalDateTime createdAt;

    // getters/setters
}

// Projection updater - keeps query model in sync
@Component
public class OrderViewUpdater {

    private final OrderViewRepository viewRepository;

    public OrderViewUpdater(OrderViewRepository viewRepository) {
        this.viewRepository = viewRepository;
    }

    @EventListener
    public void on(OrderCreatedEvent event) {
        OrderView view = new OrderView();
        view.setId(event.order().getId());
        view.setCustomerId(event.order().getCustomerId());
        view.setStatus(event.order().getStatus().name());
        view.setTotalAmount(event.order().getTotalAmount());
        view.setItemCount(event.order().getItems().size());
        view.setCreatedAt(event.order().getCreatedAt());
        viewRepository.save(view);
    }
}

When to use CQRS:

  • Read/write ratio is heavily skewed (many reads, few writes)
  • Read model needs different shape than write model (denormalized views)
  • Different scaling requirements for reads vs writes

When NOT to use: Simple CRUD applications - adds unnecessary complexity.


Pattern Selection Guide

SituationPattern
Object creation is complexBuilder, Factory
Need to add features dynamicallyDecorator
Multiple implementations of algorithmStrategy
React to state changesObserver (Spring Events)
Integrate with legacy codeAdapter
Update DB + publish event atomicallyOutbox
Distributed transaction across servicesSaga
Separate read/write optimizationCQRS

Anti-Patterns to Avoid

Anti-PatternProblemBetter Approach
Singleton abuseGlobal state, hard to testDependency Injection
Factory everywhereOver-engineeringSimple new if type known
Deep decorator chainsHard to debugComposition, keep chains short
CQRS for simple CRUDUnnecessary complexitySingle model, standard repository
Saga without idempotencyDuplicate processingIdempotent consumers + dedup key

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.