Spring Boot Engineer logo

Spring Boot Engineer

CommunityPopular
Jeffallan
spring-boot-engineer

Generates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA repositories, and configures reactive WebFlux endpoints. Use when building Spring Boot 3.x applications, microservices, or reactive Java applications; invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration, Java REST API design, or Microservices Java architecture.

Overview

PublisherJeffallan
Repositoryclaude-skills
Skill namespring-boot-engineer
Stars
11.5K
Forks
1.1K
Bundled files
5
LicenseMIT
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Spring Boot Engineer 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/Jeffallan/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/spring-boot-engineer .claude/skills/spring-boot-engineer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spring Boot Engineer 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 Spring Boot Engineer 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 Spring Boot Engineer 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 Engineer

Core Workflow

  1. Analyze requirements — Identify service boundaries, APIs, data models, security needs
  2. Design architecture — Plan microservices, data access, cloud integration, security; confirm design before coding
  3. Implement — Create services with constructor injection and layered architecture (see Quick Start below)
  4. Secure — Add Spring Security, OAuth2, method security, CORS configuration; verify security rules compile and pass tests. If compilation or tests fail: review error output, fix the failing rule or configuration, and re-run before proceeding
  5. Test — Write unit, integration, and slice tests; run ./mvnw test (or ./gradlew test) and confirm all pass before proceeding. If tests fail: review the stack trace, isolate the failing assertion or component, fix the issue, and re-run the full suite
  6. Deploy — Configure health checks and observability via Actuator; validate /actuator/health returns UP. If health is DOWN: check the components detail in the response, resolve the failing component (e.g., datasource, broker), and re-validate

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Web Layerreferences/web.mdControllers, REST APIs, validation, exception handling
Data Accessreferences/data.mdSpring Data JPA, repositories, transactions, projections
Securityreferences/security.mdSpring Security 6, OAuth2, JWT, method security
Cloud Nativereferences/cloud.mdSpring Cloud, Config, Discovery, Gateway, resilience
Testingreferences/testing.md@SpringBootTest, MockMvc, Testcontainers, test slices

Quick Start — Minimal Working Structure

A standard Spring Boot feature consists of these layers. Use these as copy-paste starting points.

Entity

java
@Entity
@Table(name = "products")
public class Product {
    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @NotBlank
    private String name;

    @DecimalMin("0.0")
    private BigDecimal price;

    // getters / setters or use @Data (Lombok)
}

Repository

java
public interface ProductRepository extends JpaRepository<Product, Long> {
    List<Product> findByNameContainingIgnoreCase(String name);
}

Service (constructor injection)

java
@Service
public class ProductService {
    private final ProductRepository repo;

    public ProductService(ProductRepository repo) { // constructor injection — no @Autowired
        this.repo = repo;
    }

    @Transactional(readOnly = true)
    public List<Product> search(String name) {
        return repo.findByNameContainingIgnoreCase(name);
    }

    @Transactional
    public Product create(ProductRequest request) {
        var product = new Product();
        product.setName(request.name());
        product.setPrice(request.price());
        return repo.save(product);
    }
}

REST Controller

java
@RestController
@RequestMapping("/api/v1/products")
@Validated
public class ProductController {
    private final ProductService service;

    public ProductController(ProductService service) {
        this.service = service;
    }

    @GetMapping
    public List<Product> search(@RequestParam(defaultValue = "") String name) {
        return service.search(name);
    }

    @PostMapping
    @ResponseStatus(HttpStatus.CREATED)
    public Product create(@Valid @RequestBody ProductRequest request) {
        return service.create(request);
    }
}

DTO (record)

java
public record ProductRequest(
    @NotBlank String name,
    @DecimalMin("0.0") BigDecimal price
) {}

Global Exception Handler

java
@RestControllerAdvice
public class GlobalExceptionHandler {
    @ExceptionHandler(MethodArgumentNotValidException.class)
    @ResponseStatus(HttpStatus.BAD_REQUEST)
    public Map<String, String> handleValidation(MethodArgumentNotValidException ex) {
        return ex.getBindingResult().getFieldErrors().stream()
            .collect(Collectors.toMap(FieldError::getField, FieldError::getDefaultMessage));
    }

    @ExceptionHandler(EntityNotFoundException.class)
    @ResponseStatus(HttpStatus.NOT_FOUND)
    public Map<String, String> handleNotFound(EntityNotFoundException ex) {
        return Map.of("error", ex.getMessage());
    }
}

Test Slice

java
@WebMvcTest(ProductController.class)
class ProductControllerTest {
    @Autowired MockMvc mockMvc;
    @MockBean ProductService service;

    @Test
    void createProduct_validRequest_returns201() throws Exception {
        var product = new Product(); product.setName("Widget"); product.setPrice(BigDecimal.TEN);
        when(service.create(any())).thenReturn(product);

        mockMvc.perform(post("/api/v1/products")
                .contentType(MediaType.APPLICATION_JSON)
                .content("""{"name":"Widget","price":10.0}"""))
            .andExpect(status().isCreated())
            .andExpect(jsonPath("$.name").value("Widget"));
    }
}

Constraints

MUST DO

RuleCorrect Pattern
Constructor injectionpublic MyService(Dep dep) { this.dep = dep; }
Validate API input@Valid @RequestBody MyRequest req on every mutating endpoint
Type-safe config@ConfigurationProperties(prefix = "app") bound to a record/class
Appropriate stereotype@Service for business logic, @Repository for data, @RestController for HTTP
Transaction scope@Transactional on multi-step writes; @Transactional(readOnly = true) on reads
Hide internalsCatch domain exceptions in @RestControllerAdvice; return problem details, not stack traces
Externalize secretsUse environment variables or Spring Cloud Config — never application.properties

MUST NOT DO

  • Use field injection (@Autowired on fields)
  • Skip input validation on API endpoints
  • Use @Component when @Service/@Repository/@Controller applies
  • Mix blocking and reactive code (e.g., calling .block() inside a WebFlux chain)
  • Store secrets or credentials in application.properties/application.yml
  • Hardcode URLs, credentials, or environment-specific values
  • Use deprecated Spring Boot 2.x patterns (e.g., WebSecurityConfigurerAdapter)

Documentation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Spring Boot Engineer AI skill do?

Generates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA repositories, and configures reactive WebFlux endpoints. Use when building Spring Boot 3.x applications, microservices, or reactive Java applications; invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration, Java REST API design, or Microservices Java architecture.

Why use Spring Boot Engineer on TypingMind?

Because you install it once and use it with any model. Spring Boot Engineer 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 Spring Boot Engineer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jeffallan/claude-skills/tree/main/skills/spring-boot-engineer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Spring Boot Engineer?

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 Spring Boot Engineer?

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

Is the Spring Boot Engineer AI skill free?

Yes. It is published on GitHub by Jeffallan under the MIT 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇