spring-boot-crud-patterns

giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026

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$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill spring-boot-crud-patterns
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summary

Feature-aligned CRUD services for Spring Boot 3 with layered architecture and Spring Data JPA.

  • Establishes feature packages with domain, application, presentation, and infrastructure layers to maintain architectural boundaries and DDD principles.
  • Covers complete CRUD workflows: entity modeling with invariants, repository interfaces, JPA adapters, transactional services, DTO records, and REST controllers with proper HTTP status codes.
  • Includes validation patterns using jakarta.validat
skill.md

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);
        return toDomain(saved);
    }

    // findById, deleteById implementations...
}
// feature/product/presentation/rest/ProductController.java
package com.example.product.presentation.rest;

import com.example.product.domain.Product;
import com.example.product.domain.repository.ProductRepository;
import jakarta.validation.Valid;
import jakarta
how to use spring-boot-crud-patterns

How to use spring-boot-crud-patterns on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add spring-boot-crud-patterns
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill spring-boot-crud-patterns

The skills CLI fetches spring-boot-crud-patterns from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/spring-boot-crud-patterns

Reload or restart Cursor to activate spring-boot-crud-patterns. Access the skill through slash commands (e.g., /spring-boot-crud-patterns) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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general reviews

Ratings

4.851 reviews
  • Harper Mehta· Dec 20, 2024

    spring-boot-crud-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hana Okafor· Dec 12, 2024

    Registry listing for spring-boot-crud-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hana Abebe· Dec 12, 2024

    I recommend spring-boot-crud-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Charlotte Rahman· Nov 19, 2024

    Solid pick for teams standardizing on skills: spring-boot-crud-patterns is focused, and the summary matches what you get after install.

  • Sophia Thomas· Nov 11, 2024

    I recommend spring-boot-crud-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Nov 7, 2024

    We added spring-boot-crud-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hana Shah· Nov 7, 2024

    spring-boot-crud-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Charlotte Thompson· Nov 3, 2024

    Useful defaults in spring-boot-crud-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Maya Brown· Nov 3, 2024

    spring-boot-crud-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dhruvi Jain· Oct 26, 2024

    spring-boot-crud-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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