axiom-app-discoverability▌
charleswiltgen/axiom · updated Apr 8, 2026
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Core principle Feed the system metadata across multiple APIs, let the system decide when to surface your app.
App Discoverability
Overview
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.
When to Use This Skill
Use this skill when:
- Making your app appear in Spotlight search results
- Enabling Siri to suggest your app in relevant contexts
- Adding app actions to Action Button (iPhone/Apple Watch Ultra)
- Making app content discoverable system-wide
- Planning discoverability architecture before implementation
- Troubleshooting "why isn't my app being suggested?"
Do NOT use this skill when:
- You need detailed API reference (use app-intents-ref, axiom-app-shortcuts-ref, axiom-core-spotlight-ref)
- You're implementing a specific API (use the reference skills)
- You just want to add a single App Intent (use app-intents-ref)
The 6-Step Discoverability Strategy
This is a proven strategy from developers who've implemented discoverability across multiple production apps. Implementation time: One evening for minimal viable discoverability.
Step 1: Add App Intents
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
Step 2: Add App Shortcuts with Suggested Phrases
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
Step 3: Expose Searchable Content via Core Spotlight
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
Step 4: Use NSUserActivity for High-Value Screens
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
Step 5: Provide Correct Intent Metadata
Clear descriptions and titles are critical because Spotlight displays them directly.
❌ DON'T: Generic or unclear
static var title: LocalizedStringResource = "Do Thing"
static var description = IntentDescription("Performs action")
✅ DO: Specific, action-oriented
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.
Step 6: Usage-Based Boosting
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
How to use axiom-app-discoverability 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 axiom-app-discoverability
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches axiom-app-discoverability from GitHub repository charleswiltgen/axiom 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 axiom-app-discoverability. Access the skill through slash commands (e.g., /axiom-app-discoverability) 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▌
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
4.6★★★★★34 reviews- ★★★★★Aisha Kim· Dec 8, 2024
Solid pick for teams standardizing on skills: axiom-app-discoverability is focused, and the summary matches what you get after install.
- ★★★★★Diya Shah· Sep 21, 2024
Keeps context tight: axiom-app-discoverability is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aisha Kapoor· Sep 13, 2024
axiom-app-discoverability fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Isabella Liu· Sep 5, 2024
We added axiom-app-discoverability from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Sep 1, 2024
We added axiom-app-discoverability from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Alexander Liu· Aug 24, 2024
axiom-app-discoverability fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Aug 20, 2024
axiom-app-discoverability fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Diya Wang· Aug 12, 2024
axiom-app-discoverability is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diego Ghosh· Aug 4, 2024
We added axiom-app-discoverability from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Camila Mehta· Jul 23, 2024
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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