axiom-app-intents-ref

charleswiltgen/axiom · updated Apr 8, 2026

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$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-app-intents-ref
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summary

Comprehensive guide to App Intents framework for exposing app functionality to Siri, Apple Intelligence, Shortcuts, Spotlight, and other system experiences. Replaces older SiriKit custom intents with modern Swift-first API.

skill.md

App Intents Integration

Overview

Comprehensive guide to App Intents framework for exposing app functionality to Siri, Apple Intelligence, Shortcuts, Spotlight, and other system experiences. Replaces older SiriKit custom intents with modern Swift-first API.

Core principle App Intents make your app's actions discoverable across Apple's ecosystem. Well-designed intents feel natural in Siri conversations, Shortcuts automation, and Spotlight search.

When to Use This Skill

  • Exposing app functionality to Siri and Apple Intelligence
  • Making app actions available in Shortcuts app
  • Enabling Spotlight search for app content
  • Integrating with Focus filters, widgets, Live Activities
  • Adding Action button support (Apple Watch Ultra)
  • Debugging intent resolution or parameter validation failures
  • Testing intents with Shortcuts app
  • Implementing entity queries for app content

Related Skills

  • app-shortcuts-ref — App Shortcuts for instant Siri/Spotlight availability without user setup
  • core-spotlight-ref — Core Spotlight and NSUserActivity integration for content indexing
  • app-discoverability — Strategic guide for making apps surface system-wide across all APIs

System Experiences Supported

App Intents integrate with:

  • Siri — Voice commands and Apple Intelligence
  • Shortcuts — Automation workflows
  • App Shortcuts — Pre-configured actions available instantly (see app-shortcuts-ref)
  • Spotlight — Search discovery
  • Focus Filters — Contextual filtering
  • Action Button — Quick actions (Apple Watch Ultra)
  • Control Center — Custom controls
  • WidgetKit — Interactive widgets
  • Live Activities — Dynamic Island updates
  • Visual Intelligence — Image-based interactions

Visual Intelligence Integration

IntentValueQuery

Allow users to circle objects in the Visual Intelligence camera and see matching results from your app:

@UnionValue
enum VisualSearchResult {
    case landmark(LandmarkEntity)
    case collection(CollectionEntity)
}

struct LandmarkIntentValueQuery: IntentValueQuery {
    func values(for input: SemanticContentDescriptor) async throws -> [VisualSearchResult] {
        // Match visual input to app entities
    }
}

// Each entity type needs an OpenIntent
struct OpenLandmarkIntent: OpenIntent { /* ... */ }
struct OpenCollectionIntent: OpenIntent { /* ... */ }

Onscreen Entities

Associate app entities with visible content so users can ask Siri or ChatGPT about what's on screen:

struct LandmarkDetailView: View {
    let landmark: LandmarkEntity

    var body: some View {
        Group { /* View content */ }
        .userActivity("com.landmarks.ViewingLandmark") { activity in
            activity.title = "Viewing \(landmark.name)"
            activity.appEntityIdentifier = EntityIdentifier(for: landmark)
        }
    }
}

Core Concepts

The Three Building Blocks

1. AppIntent — Executable actions with parameters

struct OrderSoupIntent: AppIntent {
    static var title: LocalizedStringResource = "Order Soup"
    static var description: IntentDescription = "Orders soup from the restaurant"

    @Parameter(title: "Soup")
    var soup: SoupEntity

    @Parameter(title: "Quantity")
    var quantity: Int?

    func perform() async throws -> some IntentResult {
        guard let quantity = quantity, quantity < 10 else {
            throw $quantity.needsValue("Please specify how many soups")
        }

        try await OrderService.shared.order(soup: soup, quantity: quantity)
        return .result()
    }
}

2. AppEntity — Objects users interact with

struct SoupEntity: AppEntity {
    var id: String
    var name: String
    var price: Decimal

    static var typeDisplayRepresentation: TypeDisplayRepresentation = "Soup"

    var displayRepresentation: DisplayRepresentation {
        DisplayRepresentation(title: "\(name)", subtitle: "$\(price)")
    }

    static var defaultQuery = SoupQuery()
}

3. AppEnum — Enumeration types for parameters

enum SoupSize: String, AppEnum {
    case small
    case medium
    case large

    static var typeDisplayRepresentation: TypeDisplayRepresentation = "Size"
    static var caseDisplayRepresentations: [SoupSize: DisplayRepresentation] = [
        .small: "Small (8 oz)",
        .medium: "Medium (12 oz)",
        .large: "Large (16 oz)"
    ]
}

AppIntent: Defining Actions

Essential Properties

struct SendMessageIntent: AppIntent {
    // REQUIRED: Short verb-noun phrase
    static var title: LocalizedStringResource = "Send Message"

    // REQUIRED: Purpose explanation
    static var description: IntentDescription = "Sends a message to a contact"

    // OPTIONAL: Discovery in Shortcuts/Spotlight
    static var isDiscoverable: Bool = true

    // OPTIONAL: Launch app when run
    static var openAppWhenRun: Bool = false

    // OPTIONAL: Authentication requirement
    static var authenticationPolicy: IntentAuthenticationPolicy = .requiresAuthentication
}

Parameter Declaration

struct BookAppointmentIntent: AppIntent {
    // Required parameter (non-optional)
    @Parameter(title: "Service")
    var service: ServiceEntity

    // Optional parameter
    @Parameter(title: "Preferred Date")
    var preferredDate: Date?

    // Parameter with requestValueDialog for disambiguation
    @Parameter(title: "Location",
               requestValueDialog: "Which location would you like to visit?")
    var location: LocationEntity

    // Parameter with default value
    @Parameter(title: "Duration")
    var duration: Int = 60
}

Parameter Summary (Siri Phrasing)

how to use axiom-app-intents-ref

How to use axiom-app-intents-ref on Cursor

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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 axiom-app-intents-ref
2

Execute installation command

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

$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-app-intents-ref

The skills CLI fetches axiom-app-intents-ref from GitHub repository charleswiltgen/axiom 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/axiom-app-intents-ref

Reload or restart Cursor to activate axiom-app-intents-ref. Access the skill through slash commands (e.g., /axiom-app-intents-ref) 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.

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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. 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

4.451 reviews
  • Hiroshi Harris· Dec 28, 2024

    axiom-app-intents-ref is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Layla Menon· Dec 16, 2024

    axiom-app-intents-ref has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ira Nasser· Dec 16, 2024

    Solid pick for teams standardizing on skills: axiom-app-intents-ref is focused, and the summary matches what you get after install.

  • Layla Okafor· Nov 19, 2024

    Solid pick for teams standardizing on skills: axiom-app-intents-ref is focused, and the summary matches what you get after install.

  • Yusuf Johnson· Nov 7, 2024

    Keeps context tight: axiom-app-intents-ref is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ira Park· Nov 7, 2024

    axiom-app-intents-ref is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Layla Mensah· Oct 26, 2024

    axiom-app-intents-ref is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Isabella Li· Oct 26, 2024

    Keeps context tight: axiom-app-intents-ref is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakura Smith· Oct 10, 2024

    axiom-app-intents-ref has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Sep 25, 2024

    I recommend axiom-app-intents-ref for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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