/spring-boot-crud-patterns
Provides and generates complete CRUD workflows for Spring Boot 3 services. Creates feature-focused architecture with Spring Data JPA aggregates, repositories, DTOs, controllers, and REST APIs. Validates domain invariants and transaction boundaries. Use when modeling Java backend
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Provides and generates complete CRUD workflows for Spring Boot 3 services. Creates feature-focused architecture with Spring Data JPA aggregates, repositories, DTOs, controllers, and REST APIs. Validates domain invariants and transaction boundaries. Use when modeling Java backend
SKILL.md
spring-boot-crud-patterns.SKILL.mdname: spring-boot-crud-patterns
description: Provides and generates complete CRUD workflows for Spring Boot 3 services. Creates feature-focused architecture with Spring Data JPA aggregates, repositories, DTOs, controllers, and REST APIs. Validates domain invariants and transaction boundaries. Use when modeling Java backend services, REST API endpoints, database operations, web service patterns, or JPA entities for Spring Boot applications.
allowed-tools: Read, Write, Edit, Bash, Glob, Grep
Spring Boot CRUD Patterns
Overview
Provides complete CRUD workflows for Spring Boot 3.5+ services using feature-focused architecture. Creates and validates domain aggregates, JPA repositories, application services, and REST controllers with proper separation of concerns. Defer detailed code listings to reference files for progressive disclosure.
When to Use
- Create REST endpoints for create/read/update/delete workflows backed by Spring Data JPA.
- Implement feature packages following DDD-inspired architecture with aggregates, repositories, and application services.
- Define DTO records, request validation, and controller mappings for external clients.
- Diagnose CRUD regressions, repository contracts, or transaction boundaries in existing Spring Boot services.
- Trigger phrases: **"implement Spring CRUD controller"**, **"create an endpoint"**, **"add database entity"**, **"refine feature-based repository"**, **"map DTOs for JPA aggregate"**, **"add pagination to REST list endpoint"**.
Instructions
Follow this streamlined workflow to deliver feature-aligned CRUD services with explicit validation gates:
1. Establish Feature Structure
Create `feature/<name>/` directories with `domain`, `application`, `presentation`, and `infrastructure` subpackages. **Validate**: Verify directory structure matches the feature boundary before proceeding.
2. Define Domain Model
Create entity classes with invariants enforced through factory methods (`create`, `update`). Keep domain logic framework-free. **Validate**: Assert all invariants are covered by unit tests before advancing.
3. Expose Domain Ports
Declare repository interfaces in `domain/repository` describing persistence contracts without implementation details. **Validate**: Confirm interface signatures match domain operations.
4. Provide Infrastructure Adapter
Create JPA entities in `infrastructure/persistence` that map to domain models. Implement Spring Data repositories. **Validate**: Run `@DataJpaTest` to verify entity mapping and repository integration.
5. Implement Application Services
Create `@Transactional` service classes that orchestrate domain operations and DTO mapping. **Validate**: Ensure transaction boundaries are correct and optimistic locking is applied where needed.
6. Define DTOs and Controllers
Use Java records for API contracts with `jakarta.validation` annotations. Map REST endpoints with proper status codes. **Validate**: Test validation constraints and verify HTTP status codes (201 POST, 200 GET, 204 DELETE).
7. Validate and Deploy
Run integration tests with Testcontainers. Verify migrations (Liquibase/Flyway) mirror the aggregate schema. **Validate**: Execute full test suite before deployment; confirm schema migration scripts are applied.
See `references/examples-product-feature.md` for complete code aligned with each step.
Examples
Java Code Example: Product Feature
// feature/product/domain/Product.java
package com.example.product.domain;
import java.math.BigDecimal;
import java.time.Instant;
public record Product(
String id,
String name,
String description,
BigDecimal price,
int stock,
Instant createdAt,
Instant updatedAt
) {
public static Product create(String name, String desc, BigDecimal price, int stock) {
if (name == null || name.isBlank()) throw new IllegalArgumentException("Name required");
if (price == null || price.compareTo(BigDecimal.ZERO) < 0) throw new IllegalArgumentException("Invalid price");
return new Product(null, name.trim(), desc, price, stock, Instant.now(), null);
}
public Product withPrice(BigDecimal newPrice) {
return new Product(id, name, description, newPrice, stock, createdAt, Instant.now());
}
}// feature/product/domain/repository/ProductRepository.java
package com.example.product.domain.repository;
import com.example.product.domain.Product;
import java.util.Optional;
public interface ProductRepository {
Product save(Product product);
Optional<Product> findById(String id);
void deleteById(String id);
}// feature/product/infrastructure/persistence/ProductJpaEntity.java
package com.example.product.infrastructure.persistence;
import jakarta.persistence.*;
import java.math.BigDecimal;
import java.time.Instant;
@Entity @Table(name = "products")
public class ProductJpaEntity {
@Id @GeneratedValue(strategy = GenerationType.UUID)
private String id;
private String name;
private String description;
private BigDecimal price;
private int stock;
private Instant createdAt;
private Instant updatedAt;
// getters, setters, constructor from domain (omitted for brevity)
}// feature/product/infrastructure/persistence/JpaProductRepository.java
package com.example.product.infrastructure.persistence;
import com.example.product.domain.Product;
import com.example.product.domain.repository.ProductRepository;
import org.springframework.stereotype.Repository;
@Repository
public class JpaProductRepository implements ProductRepository {
private final SpringDataProductRepository springData;
public JpaProductRepository(SpringDataProductRepository springData) {
this.springData = springData;
}
@Override
public Product save(Product product) {
ProductJpaEntity entity = toEntity(product);
ProductJpaEntity saved = springData.save(entity);
retuRead more
name: spring-boot-crud-patterns description: Provides and generates complete CRUD workflows for Spring Boot 3 services. Creates feature-focused architecture with Spring Data JPA aggregates, repositories, DTOs, controllers, and REST APIs. Validates domain invariants and transaction boundaries. Use when modeling Java backend services, REST API endpoints, database operations, web service patterns, or JPA entities for Spring Boot applications. allowed-tools: Read, Write, Edit, Bash, Glob, Grep
Spring Boot CRUD Patterns
Overview
Provides complete CRUD workflows for Spring Boot 3.5+ services using feature-focused architecture. Creates and validates domain aggregates, JPA repositories, application services, and REST controllers with proper separation of concerns. Defer detailed code listings to reference files for progressive disclosure.
When to Use
- Create REST endpoints for create/read/update/delete workflows backed by Spring Data JPA.
- Implement feature packages following DDD-inspired architecture with aggregates, repositories, and application services.
- Define DTO records, request validation, and controller mappings for external clients.
- Diagnose CRUD regressions, repository contracts, or transaction boundaries in existing Spring Boot services.
- Trigger phrases: **"implement Spring CRUD controller"**, **"create an endpoint"**, **"add database entity"**, **"refine feature-based repository"**, **"map DTOs for JPA aggregate"**, **"add pagination to REST list endpoint"**.
Instructions
Follow this streamlined workflow to deliver feature-aligned CRUD services with explicit validation gates:
1. Establish Feature Structure
Create `feature/<name>/` directories with `domain`, `application`, `presentation`, and `infrastructure` subpackages. **Validate**: Verify directory structure matches the feature boundary before proceeding.
2. Define Domain Model
Create entity classes with invariants enforced through factory methods (`create`, `update`). Keep domain logic framework-free. **Validate**: Assert all invariants are covered by unit tests before advancing.
3. Expose Domain Ports
Declare repository interfaces in `domain/repository` describing persistence contracts without implementation details. **Validate**: Confirm interface signatures match domain operations.
4. Provide Infrastructure Adapter
Create JPA entities in `infrastructure/persistence` that map to domain models. Implement Spring Data repositories. **Validate**: Run `@DataJpaTest` to verify entity mapping and repository integration.
5. Implement Application Services
Create `@Transactional` service classes that orchestrate domain operations and DTO mapping. **Validate**: Ensure transaction boundaries are correct and optimistic locking is applied where needed.
6. Define DTOs and Controllers
Use Java records for API contracts with `jakarta.validation` annotations. Map REST endpoints with proper status codes. **Validate**: Test validation constraints and verify HTTP status codes (201 POST, 200 GET, 204 DELETE).
7. Validate and Deploy
Run integration tests with Testcontainers. Verify migrations (Liquibase/Flyway) mirror the aggregate schema. **Validate**: Execute full test suite before deployment; confirm schema migration scripts are applied.
See `references/examples-product-feature.md` for complete code aligned with each step.
Examples
Java Code Example: Product Feature
// feature/product/domain/Product.java
package com.example.product.domain;
import java.math.BigDecimal;
import java.time.Instant;
public record Product(
String id,
String name,
String description,
BigDecimal price,
int stock,
Instant createdAt,
Instant updatedAt
) {
public static Product create(String name, String desc, BigDecimal price, int stock) {
if (name == null || name.isBlank()) throw new IllegalArgumentException("Name required");
if (price == null || price.compareTo(BigDecimal.ZERO) < 0) throw new IllegalArgumentException("Invalid price");
return new Product(null, name.trim(), desc, price, stock, Instant.now(), null);
}
public Product withPrice(BigDecimal newPrice) {
return new Product(id, name, description, newPrice, stock, createdAt, Instant.now());
}
}// feature/product/domain/repository/ProductRepository.java
package com.example.product.domain.repository;
import com.example.product.domain.Product;
import java.util.Optional;
public interface ProductRepository {
Product save(Product product);
Optional<Product> findById(String id);
void deleteById(String id);
}// feature/product/infrastructure/persistence/ProductJpaEntity.java
package com.example.product.infrastructure.persistence;
import jakarta.persistence.*;
import java.math.BigDecimal;
import java.time.Instant;
@Entity @Table(name = "products")
public class ProductJpaEntity {
@Id @GeneratedValue(strategy = GenerationType.UUID)
private String id;
private String name;
private String description;
private BigDecimal price;
private int stock;
private Instant createdAt;
private Instant updatedAt;
// getters, setters, constructor from domain (omitted for brevity)
}// feature/product/infrastructure/persistence/JpaProductRepository.java
package com.example.product.infrastructure.persistence;
import com.example.product.domain.Product;
import com.example.product.domain.repository.ProductRepository;
import org.springframework.stereotype.Repository;
@Repository
public class JpaProductRepository implements ProductRepository {
private final SpringDataProductRepository springData;
public JpaProductRepository(SpringDataProductRepository springData) {
this.springData = springData;
}
@Override
public Product save(Product product) {
ProductJpaEntity entity = toEntity(product);
ProductJpaEntity saved = springData.save(entity);
retuShowing the first part of this file.
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