MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Java-Springboot

Java-Springboot是一款code方向的AI技能,核心价值是Get best practices for developing applications with Spring Boot,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

Get best practices for developing applications with Spring Boot.

Last verified on: 2026-05-30
mkdir -p ./skills/java-springboot && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-springboot/SKILL.md -o ./skills/java-springboot/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Spring Boot Best Practices


Your goal is to help me write high-quality Spring Boot applications by following established best practices.


Project Setup & Structure


- **Build Tool:** Use Maven (`pom.xml`) or Gradle (`build.gradle`) for dependency management.

- **Starters:** Use Spring Boot starters (e.g., `spring-boot-starter-web`, `spring-boot-starter-data-jpa`) to simplify dependency management.

- **Package Structure:** Organize code by feature/domain (e.g., `com.example.app.order`, `com.example.app.user`) rather than by layer (e.g., `com.example.app.controller`, `com.example.app.service`).


Dependency Injection & Components


- **Constructor Injection:** Always use constructor-based injection for required dependencies. This makes components easier to test and dependencies explicit.

- **Immutability:** Declare dependency fields as `private final`.

- **Component Stereotypes:** Use `@Component`, `@Service`, `@Repository`, and `@Controller`/`@RestController` annotations appropriately to define beans.


Configuration


- **Externalized Configuration:** Use `application.yml` (or `application.properties`) for configuration. YAML is often preferred for its readability and hierarchical structure.

- **Type-Safe Properties:** Use `@ConfigurationProperties` to bind configuration to strongly-typed Java objects.

- **Profiles:** Use Spring Profiles (`application-dev.yml`, `application-prod.yml`) to manage environment-specific configurations.

- **Secrets Management:** Do not hardcode secrets. Use environment variables, or a dedicated secret management tool like HashiCorp Vault or AWS Secrets Manager.


Web Layer (Controllers)


- **RESTful APIs:** Design clear and consistent RESTful endpoints.

- **DTOs (Data Transfer Objects):** Use DTOs to expose and consume data in the API layer. Do not expose JPA entities directly to the client.

- **Validation:** Use Java Bean Validation (JSR 380) with annotations (`@Valid`, `@NotNull`, `@Size`) on DTOs to validate request payloads.

- **Error Handling:** Implement a global exception handler using `@ControllerAdvice` and `@ExceptionHandler` to provide consistent error responses.


Service Layer


- **Business Logic:** Encapsulate all business logic within `@Service` classes.

- **Statelessness:** Services should be stateless.

- **Transaction Management:** Use `@Transactional` on service methods to manage database transactions declaratively. Apply it at the most granular level necessary.


Data Layer (Repositories)


- **Spring Data JPA:** Use Spring Data JPA repositories by extending `JpaRepository` or `CrudRepository` for standard database operations.

- **Custom Queries:** For complex queries, use `@Query` or the JPA Criteria API.

- **Projections:** Use DTO projections to fetch only the necessary data from the database.


Logging


- **SLF4J:** Use the SLF4J API for logging.

- **Logger Declaration:** `private static final Logger logger = LoggerFactory.getLogger(MyClass.class);`

- **Parameterized Logging:** Use parameterized messages (`logger.info("Processing user {}...", userId);`) instead of string concatenation to improve performance.


Testing


- **Unit Tests:** Write unit tests for services and components using JUnit 5 and a mocking framework like Mockito.

- **Integration Tests:** Use `@SpringBootTest` for integration tests that load the Spring application context.

- **Test Slices:** Use test slice annotations like `@WebMvcTest` (for controllers) or `@DataJpaTest` (for repositories) to test specific parts of the application in isolation.

- **Testcontainers:** Consider using Testcontainers for reliable integration tests with real databases, message brokers, etc.


Security


- **Spring Security:** Use Spring Security for authentication and authorization.

- **Password Encoding:** Always encode passwords using a strong hashing algorithm like BCrypt.

- **Input Sanitization:** Prevent SQL injection by using Spring Data JPA or parameterized queries. Prevent Cross-Site Scripting (XSS) by prop

🎯 Best For

  • Claude users
  • GitHub Copilot users
  • Software engineers
  • Development teams
  • Tech leads

💡 Use Cases

  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Java-Springboot to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Is Java-Springboot compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Java-Springboot?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Java-Springboot?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/java-springboot/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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