unit-test-scheduled-async

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

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$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill unit-test-scheduled-async
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summary

Test @Scheduled and @Async methods directly without waiting for actual execution.

  • Call async and scheduled methods directly in tests instead of relying on Spring's async executor or scheduling intervals
  • Use CompletableFuture.get() with explicit timeouts to wait for async results, and Awaitility.await() for polling-based assertions on state changes
  • Mock dependencies that async methods call, then verify interactions after completion using Mockito
  • Test exception handling by catching
skill.md

Unit Testing @Scheduled and @Async Methods

Overview

Patterns for unit testing Spring @Scheduled and @Async methods with JUnit 5. Test CompletableFuture results, use Awaitility for race conditions, mock scheduled task execution, and validate error handling — without waiting for real scheduling intervals.

When to Use

  • Testing @Scheduled method logic
  • Testing @Async method behavior
  • Verifying CompletableFuture results
  • Testing async error handling
  • Testing cron expression logic without waiting for actual scheduling
  • Validating thread pool behavior and execution counts
  • Testing background task logic in isolation

Instructions

  1. Call @Async methods directly — bypass Spring's async proxy; the annotation is irrelevant in unit tests
  2. Mock dependencies with @Mock and @InjectMocks (Mockito)
  3. Wait for completion — use CompletableFuture.get(timeout, unit) or await().atMost(...).untilAsserted(...)
  4. Call @Scheduled methods directly — do not wait for cron/fixedRate; the annotation is ignored in unit tests
  5. Test exception paths — verify ExecutionException wrapping on CompletableFuture.get()

Validation checkpoints:

  • After CompletableFuture.get(), assert the returned value before verifying mock interactions
  • If ExecutionException is thrown, check .getCause() to identify the root exception
  • If Awaitility times out, increase atMost() duration or reduce pollInterval() until the condition is reachable
  • After multiple task invocations, assert execution counts before verify() calls

Examples

Key patterns — complete examples in references/examples.md:

// @Async: call directly, wait with CompletableFuture.get(timeout, unit)
@Service
class EmailService {
  @Async
  public CompletableFuture<Boolean> sendEmailAsync(String to) {
    return CompletableFuture.supplyAsync(() -> true);
  }
}
@Test
void shouldReturnCompletedFuture() throws Exception {
  EmailService service = new EmailService();
  Boolean result = service.sendEmailAsync("[email protected]").get(5, TimeUnit.SECONDS);
  assertThat(result).isTrue();
}

// @Scheduled: call directly, mock the repository
@Component
class DataRefreshTask {
  @InjectMocks private DataRepository dataRepository;
  @Scheduled(fixedDelay = 60000) public void refreshCache() { /* ... */ }
}
@Test
void shouldRefreshCache() {
  when(dataRepository.findAll()).thenReturn(List.of(new Data(1L, "item1")));
  dataRefreshTask.refreshCache();
  verify(dataRepository).findAll();
}

// Awaitility: use for race conditions with shared mutable state
@Test
void shouldProcessAllItems() {
  BackgroundWorker worker = new BackgroundWorker();
  worker.processItems(List.of("item1", "item2", "item3"));
  Awaitility.await()
    .atMost(Duration.ofSeconds(5))
    .pollInterval(Duration.ofMillis(100))
    .untilAsserted(() -> assertThat(worker.getProcessedCount()).isEqualTo(3));
}

// Mocked dependencies with exception handling
@Test
void shouldHandleAsyncExceptionGracefully() {
  doThrow(new RuntimeException("Email failed")).when(emailService).send(any());
  CompletableFuture<String> result = service.notifyUserAsync("user123");
  assertThatThrownBy(result::get)
    .isInstanceOf(ExecutionException.class)
    .hasCauseInstanceOf(RuntimeException.class);
}

Full Maven/Gradle dependencies, additional test classes, and execution count patterns: see references/examples.md.

Best Practices

  • Always set a timeout on CompletableFuture.get() to prevent hanging tests
  • Mock all dependencies — never call real external services in unit tests
  • Use Awaitility only for race conditions; prefer direct calls for simple async methods
  • Test @Scheduled logic directly — the annotation is ignored in unit tests
  • Assert values before verifying mock interactions; verify after async completion

Common Pitfalls

  • Relying on Spring's async executor instead of calling methods directly
  • Missing timeout on CompletableFuture.get()
  • Forgetting to test exception propagation in async methods
  • Not mocking dependencies that async methods invoke internally
  • Waiting for actual cron/fixedRate timing instead of testing logic in isolation

Constraints and Warnings

  • @Async self-invocation: calling @Async from another method in the same class executes synchronously — the Spring proxy is bypassed
  • Thread pool ordering: ThreadPoolTaskScheduler does not guarantee execution order
  • CompletableFuture chaining: exceptions in intermediate stages can be silently lost — test each stage
  • Awaitility timeout: always set a reasonable atMost(); infinite waits hang the test suite
  • No actual scheduling: @Scheduled is ignored in unit tests — call methods directly

References

how to use unit-test-scheduled-async

How to use unit-test-scheduled-async 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 unit-test-scheduled-async
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 unit-test-scheduled-async

The skills CLI fetches unit-test-scheduled-async 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/unit-test-scheduled-async

Reload or restart Cursor to activate unit-test-scheduled-async. Access the skill through slash commands (e.g., /unit-test-scheduled-async) 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

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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

Ratings

4.728 reviews
  • Camila Shah· Dec 24, 2024

    unit-test-scheduled-async reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Dec 20, 2024

    unit-test-scheduled-async is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Michael Perez· Dec 8, 2024

    I recommend unit-test-scheduled-async for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Evelyn Dixit· Nov 27, 2024

    Useful defaults in unit-test-scheduled-async — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Rahul Santra· Nov 11, 2024

    unit-test-scheduled-async fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Evelyn Menon· Oct 18, 2024

    Registry listing for unit-test-scheduled-async matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Pratham Ware· Oct 2, 2024

    unit-test-scheduled-async has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Diego Tandon· Sep 25, 2024

    unit-test-scheduled-async fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ishan Gill· Sep 13, 2024

    I recommend unit-test-scheduled-async for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aarav Robinson· Aug 16, 2024

    unit-test-scheduled-async has been reliable in day-to-day use. Documentation quality is above average for community skills.

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