Core principle Feed the system metadata across multiple APIs, let the system decide when to surface your app.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaxiom-app-discoverabilityExecute the skills CLI command in your project's root directory to begin installation:
Fetches axiom-app-discoverability 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-app-discoverability. Access via /axiom-app-discoverability 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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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Core principle Feed the system metadata across multiple APIs, let the system decide when to surface your app.
iOS surfaces apps in Spotlight, Siri suggestions, and system experiences based on metadata you provide through App Intents, App Shortcuts, Core Spotlight, and NSUserActivity. The system learns from actual usage and boosts frequently-used actions. No single API is sufficient—comprehensive discoverability requires a multi-API strategy.
Key insight iOS boosts shortcuts and activities that users actually invoke. If nobody uses an intent, the system hides it. Provide clear, action-oriented metadata and the system does the heavy lifting.
Use this skill when:
Do NOT use this skill when:
This is a proven strategy from developers who've implemented discoverability across multiple production apps. Implementation time: One evening for minimal viable discoverability.
App Intents power Spotlight search, Siri requests, and Shortcut suggestions. Without AppIntents, your app will never surface meaningfully.
struct OrderCoffeeIntent: AppIntent {
static var title: LocalizedStringResource = "Order Coffee"
static var description = IntentDescription("Orders coffee for pickup")
@Parameter(title: "Coffee Type")
var coffeeType: CoffeeType
@Parameter(title: "Size")
var size: CoffeeSize
func perform() async throws -> some IntentResult {
try await CoffeeService.shared.order(type: coffeeType, size: size)
return .result(dialog: "Your \(size) \(coffeeType) is ordered")
}
}
Why this matters App Intents are the foundation. Everything else builds on them.
See: app-intents-ref for complete API reference
App Shortcuts make your intents instantly available after install. No configuration required.
struct CoffeeAppShortcuts: AppShortcutsProvider {
@AppShortcutsBuilder
static var appShortcuts: [AppShortcut] {
AppShortcut(
intent: OrderCoffeeIntent(),
phrases: [
"Order coffee in \(.applicationName)",
"Get my usual coffee from \(.applicationName)"
],
shortTitle: "Order Coffee",
systemImageName: "cup.and.saucer.fill"
)
}
static var shortcutTileColor: ShortcutTileColor = .tangerine
}
Why this matters Without App Shortcuts, users must manually configure shortcuts. With them, your actions appear immediately in Siri, Spotlight, Action Button, and Control Center.
Critical Use suggestedPhrase patterns—this increases the chance that the system proposes them in Spotlight action suggestions and Siri's carousel.
See: app-shortcuts-ref for phrase patterns and best practices
Index content that matters. The system will surface items that match user queries.
import CoreSpotlight
import UniformTypeIdentifiers
func indexOrder(_ order: Order) {
let attributes = CSSearchableItemAttributeSet(contentType: .item)
attributes.title = order.coffeeName
attributes.contentDescription = "Order from \(order.date.formatted())"
attributes.keywords = ["coffee", "order", order.coffeeName]
let item = CSSearchableItem(
uniqueIdentifier: order.id.uuidString,
domainIdentifier: "orders",
attributeSet: attributes
)
CSSearchableIndex.default().indexSearchableItems([item]) { error in
if let error = error {
print("Indexing error: \(error)")
}
}
}
Why this matters Core Spotlight makes your app's content searchable. When users search for "latte" in Spotlight, your app's orders appear.
Index only what matters Don't index everything. Focus on user-facing content (orders, documents, notes, etc.).
See: core-spotlight-ref for batching, deletion patterns, and best practices
Mark important screens as eligible for search and prediction.
func viewOrder(_ order: Order) {
let activity = NSUserActivity(activityType: "com.coffeeapp.viewOrder")
activity.title = order.coffeeName
activity.isEligibleForSearch = true
activity.isEligibleForPrediction = true
activity.persistentIdentifier = order.id.uuidString
// Connect to App Intents
activity.appEntityIdentifier = order.id.uuidString
// Provide rich metadata
let attributes = CSSearchableItemAttributeSet(contentType: .item)
attributes.contentDescription = "Your \(order.coffeeName) order"
attributes.thumbnailData = order.imageData
activity.contentAttributeSet = attributes
activity.becomeCurrent()
// In your view controller or SwiftUI view
self.userActivity = activity
}
Why this matters The system learns which screens users visit frequently and suggests them proactively. Lock screen widgets, Siri suggestions, and Spotlight all benefit.
Critical Only mark screens that users would want to return to. Not settings, not onboarding, not error states.
See: core-spotlight-ref for eligibility patterns and activity continuation
Clear descriptions and titles are critical because Spotlight displays them directly.
static var title: LocalizedStringResource = "Do Thing"
static var description = IntentDescription("Performs action")
static var title: LocalizedStringResource = "Order Coffee"
static var description = IntentDescription("Orders coffee for pickup")
Parameter summaries must be natural language:
static var parameterSummary: some ParameterSummary {
Summary("Order \(\.$size) \(\.$coffeeType)")
}
// Siri: "Order large latte"
Why this matters Poor metadata means users won't understand what your intent does. Clear metadata = higher usage = system boosts it.
The system boosts shortcuts and activities that users actually invoke. If nobody uses an intent, the system hides it.
This is automatic—you don't control it. What you con
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
ceorkm/mobile-app-ui-design
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Solid pick for teams standardizing on skills: axiom-app-discoverability is focused, and the summary matches what you get after install.
Keeps context tight: axiom-app-discoverability is the kind of skill you can hand to a new teammate without a long onboarding doc.
axiom-app-discoverability fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added axiom-app-discoverability from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added axiom-app-discoverability from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
axiom-app-discoverability fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
axiom-app-discoverability fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
axiom-app-discoverability is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added axiom-app-discoverability from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: axiom-app-discoverability is the kind of skill you can hand to a new teammate without a long onboarding doc.
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