springboot-verification

affaan-m/everything-claude-code · updated Apr 8, 2026

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$npx skills add https://github.com/affaan-m/everything-claude-code --skill springboot-verification
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summary

Automated verification pipeline for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review.

  • Runs six sequential phases: Maven/Gradle build, static analysis (SpotBugs, PMD, Checkstyle), unit and integration tests with JaCoCo coverage reporting, dependency CVE scanning, optional code formatting, and git diff review
  • Supports both Maven and Gradle with parallel build acceleration ( -T 4 flag) and includes example test patterns for unit tests, Test
skill.md

Spring Boot Verification Loop

Run before PRs, after major changes, and pre-deploy.

When to Activate

  • Before opening a pull request for a Spring Boot service
  • After major refactoring or dependency upgrades
  • Pre-deployment verification for staging or production
  • Running full build → lint → test → security scan pipeline
  • Validating test coverage meets thresholds

Phase 1: Build

mvn -T 4 clean verify -DskipTests
# or
./gradlew clean assemble -x test

If build fails, stop and fix.

Phase 2: Static Analysis

Maven (common plugins):

mvn -T 4 spotbugs:check pmd:check checkstyle:check

Gradle (if configured):

./gradlew checkstyleMain pmdMain spotbugsMain

Phase 3: Tests + Coverage

mvn -T 4 test
mvn jacoco:report   # verify 80%+ coverage
# or
./gradlew test jacocoTestReport

Report:

  • Total tests, passed/failed
  • Coverage % (lines/branches)

Unit Tests

Test service logic in isolation with mocked dependencies:

@ExtendWith(MockitoExtension.class)
class UserServiceTest {

  @Mock private UserRepository userRepository;
  @InjectMocks private UserService userService;

  @Test
  void createUser_validInput_returnsUser() {
    var dto = new CreateUserDto("Alice", "[email protected]");
    var expected = new User(1L, "Alice", "[email protected]");
    when(userRepository.save(any(User.class))).thenReturn(expected);

    var result = userService.create(dto);

    assertThat(result.name()).isEqualTo("Alice");
    verify(userRepository).save(any(User.class));
  }

  @Test
  void createUser_duplicateEmail_throwsException() {
    var dto = new CreateUserDto("Alice", "[email protected]");
    when(userRepository.existsByEmail(dto.email())).thenReturn(true);

    assertThatThrownBy(() -> userService.create(dto))
        .isInstanceOf(DuplicateEmailException.class);
  }
}

Integration Tests with Testcontainers

Test against a real database instead of H2:

@SpringBootTest
@Testcontainers
class UserRepositoryIntegrationTest {

  @Container
  static PostgreSQLContainer<?> postgres = new PostgreSQLContainer<>("postgres:16-alpine")
      .withDatabaseName("testdb");

  @DynamicPropertySource
  static void configureProperties(DynamicPropertyRegistry registry) {
    registry.add("spring.datasource.url", postgres::getJdbcUrl);
    registry.add("spring.datasource.username", postgres::getUsername);
    registry.add("spring.datasource.password", postgres::getPassword);
  }

  @Autowired private UserRepository userRepository;

  @Test
  void findByEmail_existingUser_returnsUser() {
    userRepository.save(new User("Alice", "[email protected]"));

    var found = userRepository.findByEmail("[email protected]");

    assertThat(found).isPresent();
    assertThat(found.get().getName()).isEqualTo("Alice");
  }
}

API Tests with MockMvc

Test controller layer with full Spring context:

@WebMvcTest(UserController.class)
class UserControllerTest {

  @Autowired private MockMvc mockMvc;
  @MockBean private UserService userService;

  @Test
  void createUser_validInput_returns201() throws Exception {
    var user = new UserDto(1L, "Alice", "[email protected]");
    when(userService.create(any())).thenReturn(user);

    mockMvc.perform(post("/api/users")
            .contentType(MediaType.APPLICATION_JSON)
            .content("""
                {"name": "Alice", "email": "[email protected]"}
                """))
        .andExpect(status().isCreated())
        .andExpect(jsonPath("$.name").value("Alice"));
  }

  @Test
  void createUser_invalidEmail_returns400() throws Exception {
    mockMvc.perform(post("/api/users")
            .contentType(MediaType.APPLICATION_JSON)
            .content("""
                {"name": "Alice", "email": "not-an-email"}
                """))
        .andExpect(status().isBadRequest());
  }
}

Phase 4: Security Scan

how to use springboot-verification

How to use springboot-verification 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 springboot-verification
2

Execute installation command

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

$npx skills add https://github.com/affaan-m/everything-claude-code --skill springboot-verification

The skills CLI fetches springboot-verification from GitHub repository affaan-m/everything-claude-code 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/springboot-verification

Reload or restart Cursor to activate springboot-verification. Access the skill through slash commands (e.g., /springboot-verification) 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

GET_STARTED →

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

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.850 reviews
  • Ganesh Mohane· Dec 20, 2024

    springboot-verification reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Fatima Park· Dec 16, 2024

    Useful defaults in springboot-verification — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Fatima Abbas· Dec 12, 2024

    springboot-verification reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chinedu Zhang· Dec 4, 2024

    I recommend springboot-verification for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Anika Dixit· Nov 23, 2024

    springboot-verification reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakshi Patil· Nov 11, 2024

    I recommend springboot-verification for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Isabella Gill· Nov 7, 2024

    Registry listing for springboot-verification matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Noah Taylor· Nov 3, 2024

    I recommend springboot-verification for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ava Ramirez· Oct 26, 2024

    springboot-verification reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Olivia Abbas· Oct 22, 2024

    Useful defaults in springboot-verification — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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