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Springboot Patterns

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rohitg00
springboot-patterns

Spring Boot patterns including JPA repositories, REST controllers, layered services, and configuration

Overview

Publisherrohitg00
Repositoryawesome-claude-code-toolkit
Skill namespringboot-patterns
Stars
2.6K
Forks
963
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Springboot Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rohitg00/awesome-claude-code-toolkit.git /tmp/awesome-claude-code-toolkit
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-code-toolkit/skills/springboot-patterns .claude/skills/springboot-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Springboot Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Springboot Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Springboot Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Spring Boot Patterns

Layered Architecture

src/main/java/com/example/app/
  config/          # @Configuration beans
  controller/      # @RestController (thin, delegates to service)
  service/         # @Service (business logic)
  repository/      # @Repository (data access via JPA)
  model/
    entity/        # @Entity JPA classes
    dto/           # Request/response DTOs
    mapper/        # MapStruct or manual mapping
  exception/       # @ControllerAdvice, custom exceptions
  security/        # SecurityFilterChain, JWT filters

Controllers handle HTTP concerns. Services contain business logic. Repositories handle persistence.

REST Controller

java
@RestController
@RequestMapping("/api/v1/orders")
@RequiredArgsConstructor
public class OrderController {

    private final OrderService orderService;

    @GetMapping
    public Page<OrderResponse> list(
            @RequestParam(defaultValue = "0") int page,
            @RequestParam(defaultValue = "20") int size) {
        return orderService.findAll(PageRequest.of(page, size));
    }

    @PostMapping
    @ResponseStatus(HttpStatus.CREATED)
    public OrderResponse create(@Valid @RequestBody CreateOrderRequest request) {
        return orderService.create(request);
    }

    @GetMapping("/{id}")
    public OrderResponse getById(@PathVariable UUID id) {
        return orderService.findById(id);
    }
}

JPA Entity and Repository

java
@Entity
@Table(name = "orders")
@Getter @Setter @NoArgsConstructor
public class Order {
    @Id
    @GeneratedValue(strategy = GenerationType.UUID)
    private UUID id;

    @ManyToOne(fetch = FetchType.LAZY)
    @JoinColumn(name = "customer_id", nullable = false)
    private Customer customer;

    @OneToMany(mappedBy = "order", cascade = CascadeType.ALL, orphanRemoval = true)
    private List<OrderItem> items = new ArrayList<>();

    @Enumerated(EnumType.STRING)
    private OrderStatus status = OrderStatus.PENDING;

    @CreationTimestamp
    private Instant createdAt;
}

public interface OrderRepository extends JpaRepository<Order, UUID> {
    @Query("SELECT o FROM Order o JOIN FETCH o.items WHERE o.customer.id = :customerId")
    List<Order> findByCustomerWithItems(@Param("customerId") UUID customerId);

    @EntityGraph(attributePaths = {"customer", "items"})
    Optional<Order> findWithDetailsById(UUID id);
}

Service Layer

java
@Service
@Transactional(readOnly = true)
@RequiredArgsConstructor
public class OrderService {

    private final OrderRepository orderRepository;
    private final OrderMapper orderMapper;
    private final EventPublisher eventPublisher;

    public OrderResponse findById(UUID id) {
        Order order = orderRepository.findWithDetailsById(id)
                .orElseThrow(() -> new ResourceNotFoundException("Order", id));
        return orderMapper.toResponse(order);
    }

    @Transactional
    public OrderResponse create(CreateOrderRequest request) {
        Order order = orderMapper.toEntity(request);
        order = orderRepository.save(order);
        eventPublisher.publish(new OrderCreatedEvent(order.getId()));
        return orderMapper.toResponse(order);
    }
}

Global Exception Handler

java
@RestControllerAdvice
public class GlobalExceptionHandler {

    @ExceptionHandler(ResourceNotFoundException.class)
    @ResponseStatus(HttpStatus.NOT_FOUND)
    public ProblemDetail handleNotFound(ResourceNotFoundException ex) {
        return ProblemDetail.forStatusAndDetail(HttpStatus.NOT_FOUND, ex.getMessage());
    }

    @ExceptionHandler(MethodArgumentNotValidException.class)
    @ResponseStatus(HttpStatus.BAD_REQUEST)
    public ProblemDetail handleValidation(MethodArgumentNotValidException ex) {
        ProblemDetail detail = ProblemDetail.forStatus(HttpStatus.BAD_REQUEST);
        Map<String, String> errors = ex.getFieldErrors().stream()
                .collect(Collectors.toMap(FieldError::getField, FieldError::getDefaultMessage));
        detail.setProperty("errors", errors);
        return detail;
    }
}

Anti-Patterns

  • Injecting repositories directly into controllers (bypassing service layer)
  • Using FetchType.EAGER on entity relationships by default
  • Returning JPA entities directly from controllers instead of DTOs
  • Missing @Transactional(readOnly = true) on read-only service methods
  • Catching generic Exception instead of specific types
  • Hardcoding configuration values instead of using @Value or @ConfigurationProperties

Checklist

  • Controllers are thin and delegate to services
  • All JPA relationships use FetchType.LAZY by default
  • DTOs used for request/response, never raw entities
  • @Transactional applied at service level with correct read/write scoping
  • Validation annotations (@Valid, @NotNull, @Size) on request DTOs
  • Global exception handler returns ProblemDetail (RFC 7807)
  • Entity graphs or JOIN FETCH used to avoid N+1 queries
  • Integration tests use @SpringBootTest with test containers

Frequently asked questions

What does the Springboot Patterns AI skill do?

Spring Boot patterns including JPA repositories, REST controllers, layered services, and configuration

Why use Springboot Patterns on TypingMind?

Because you install it once and use it with any model. Springboot Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Springboot Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/awesome-claude-code-toolkit/tree/main/skills/springboot-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Springboot Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Springboot Patterns?

As many as you like. As long as a model supports skills, you can use Springboot Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Springboot Patterns AI skill free?

Yes. It is published on GitHub by rohitg00 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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