spring-boot-engineer▌
jeffallan/claude-skills · updated May 18, 2026
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Spring Boot 3.x code generation for REST APIs, microservices, and reactive applications with built-in security and data access patterns.
- ›Generates layered Spring Boot 3.x applications with constructor injection, Spring Data JPA repositories, REST controllers, and global exception handling
- ›Implements Spring Security 6 authentication flows, OAuth2, JWT, and method-level security with CORS configuration
- ›Supports reactive WebFlux endpoints alongside traditional blocking REST APIs and Spr
Spring Boot Engineer
Core Workflow
- Analyze requirements — Identify service boundaries, APIs, data models, security needs
- Design architecture — Plan microservices, data access, cloud integration, security; confirm design before coding
- Implement — Create services with constructor injection and layered architecture (see Quick Start below)
- 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
- 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 - Deploy — Configure health checks and observability via Actuator; validate
/actuator/healthreturnsUP. If health isDOWN: check thecomponentsdetail in the response, resolve the failing component (e.g., datasource, broker), and re-validate
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Web Layer | references/web.md |
Controllers, REST APIs, validation, exception handling |
| Data Access | references/data.md |
Spring Data JPA, repositories, transactions, projections |
| Security | references/security.md |
Spring Security 6, OAuth2, JWT, method security |
| Cloud Native | references/cloud.md |
Spring Cloud, Config, Discovery, Gateway, resilience |
| Testing | references/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
@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
public interface ProductRepository extends JpaRepository<Product, Long> {
List<Product> findByNameContainingIgnoreCase(String name);
}
Service (constructor injection)
@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
@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)
public record ProductRequest(
@NotBlank String name,
@DecimalMin("0.0") BigDecimal price
) {}
Global Exception Handler
@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
@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")
How to use spring-boot-engineer on Cursor
AI-first code editor with Composer
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-engineer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches spring-boot-engineer from GitHub repository jeffallan/claude-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate spring-boot-engineer. Access the skill through slash commands (e.g., /spring-boot-engineer) 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
Submit your Claude Code skill and start earning
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★39 reviews- ★★★★★Aditi Johnson· Dec 28, 2024
spring-boot-engineer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Noah Jackson· Dec 24, 2024
Keeps context tight: spring-boot-engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chaitanya Patil· Dec 16, 2024
Keeps context tight: spring-boot-engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Mateo Torres· Dec 16, 2024
We added spring-boot-engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aditi Garcia· Nov 23, 2024
spring-boot-engineer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Henry Menon· Nov 19, 2024
Useful defaults in spring-boot-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakura Garcia· Nov 15, 2024
Registry listing for spring-boot-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Piyush G· Nov 7, 2024
Registry listing for spring-boot-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Shikha Mishra· Oct 26, 2024
spring-boot-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mia Lopez· Oct 10, 2024
I recommend spring-boot-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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