Modern patterns for testing async/await code with Swift Testing framework.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaxiom-testing-asyncExecute the skills CLI command in your project's root directory to begin installation:
Fetches axiom-testing-async from charleswiltgen/axiom and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate axiom-testing-async. Access via /axiom-testing-async in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Modern patterns for testing async/await code with Swift Testing framework.
✅ Use when:
❌ Don't use when:
| XCTest | Swift Testing |
|---|---|
XCTestExpectation |
confirmation { } |
wait(for:timeout:) |
await confirmation |
@MainActor implicit |
@MainActor explicit |
| Serial by default | Parallel by default |
XCTAssertEqual() |
#expect() |
continueAfterFailure |
#require per-expectation |
@Test func fetchUser() async throws {
let user = try await api.fetchUser(id: 1)
#expect(user.name == "Alice")
}
For APIs without async overloads:
@Test func legacyAPI() async throws {
let result = try await withCheckedThrowingContinuation { continuation in
legacyFetch { result, error in
if let result {
continuation.resume(returning: result)
} else {
continuation.resume(throwing: error!)
}
}
}
#expect(result.isValid)
}
When a callback should fire exactly once:
@Test func notificationFires() async {
await confirmation { confirm in
NotificationCenter.default.addObserver(
forName: .didUpdate,
object: nil,
queue: .main
) { _ in
confirm() // Must be called exactly once
}
triggerUpdate()
}
}
@Test func delegateCalledMultipleTimes() async {
await confirmation(expectedCount: 3) { confirm in
delegate.onProgress = { progress in
confirm() // Called 3 times
}
startDownload() // Triggers 3 progress updates
}
}
@Test func noErrorCallback() async {
await confirmation(expectedCount: 0) { confirm in
delegate.onError = { _ in
confirm() // Should never be called
}
performSuccessfulOperation()
}
}
@Test @MainActor func viewModelUpdates() async {
let vm = ViewModel()
await vm.load()
#expect(vm.items.count > 0)
#expect(vm.isLoading == false)
}
@Test(.timeLimit(.seconds(5)))
func slowOperation() async throws {
try await longRunningTask()
}
@Test func invalidInputThrows() async throws {
await #expect(throws: ValidationError.self) {
try await validate(input: "")
}
}
// Specific error
@Test func specificError() async throws {
await #expect(throws: NetworkError.notFound) {
try await api.fetch(id: -1)
}
}
@Test func firstVideo() async throws {
let videos = try await videoLibrary.videos()
let first = try #require(videos.first) // Fails if nil
#expect(first.duration > 0)
}
@Test("Video loading", arguments: [
"Beach.mov",
"Mountain.mov",
"City.mov"
])
func loadVideo(fileName: String) async throws {
let video = try await Video.load(fileName)
#expect(video.isPlayable)
}
Arguments run in parallel automatically.
Swift Testing runs tests in parallel by default (unlike XCTest).
// ❌ Shared mutable state — race condition
var sharedCounter = 0
@Test func test1() async {
sharedCounter += 1 // Data race!
}
@Test func test2() async {
sharedCounter += 1 // Data race!
}
// ✅ Each test gets fresh instance
struct CounterTests {
var counter = Counter() // Fresh per test
@Test func increment() {
counter.incrementImplementation 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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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4.5★★★★★66 reviews- RRen Malhotra★★★★★Dec 28, 2024
axiom-testing-async fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAarav Ramirez★★★★★Dec 20, 2024
axiom-testing-async reduced setup friction for our internal harness; good balance of opinion and flexibility.
- AAdvait Khan★★★★★Dec 12, 2024
Solid pick for teams standardizing on skills: axiom-testing-async is focused, and the summary matches what you get after install.
- AAdvait Garcia★★★★★Dec 8, 2024
axiom-testing-async has been reliable in day-to-day use. Documentation quality is above average for community skills.
- CChaitanya Patil★★★★★Dec 4, 2024
axiom-testing-async reduced setup friction for our internal harness; good balance of opinion and flexibility.
- NNoah Johnson★★★★★Dec 4, 2024
axiom-testing-async has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAdvait Smith★★★★★Nov 27, 2024
axiom-testing-async is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- SSophia Wang★★★★★Nov 27, 2024
axiom-testing-async fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- PPiyush G★★★★★Nov 23, 2024
I recommend axiom-testing-async for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- RRen Zhang★★★★★Nov 23, 2024
axiom-testing-async fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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