Skill

Implement Apple HIG Technologies

Apple HIG guidance for integrating Siri, Apple Pay, HealthKit, ARKit, and 9 more system technologies correctly.


59
Spark score
out of 100
Updated 5 days ago
Source checked Sep 16, 2026
Version 17.3.0

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Why it matters

Ensure your applications adhere to Apple's Human Interface Guidelines (HIG) for various technologies, including Siri, Apple Pay, HealthKit, ARKit, and more. This asset provides structured guidance for implementation, privacy, and testing.

Outcomes

What it gets done

01

Generate implementation checklists based on Apple HIG.

02

Define required vs. optional features for approval.

03

Outline privacy and permission requirements.

04

Provide user-facing flow and testing guidance.

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-hig-technologies | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Apple HIG: Technologies

A reference skill distilling Apple's Human Interface Guidelines into per-technology interaction rules across twelve categories, from Siri and Apple Pay to CarPlay and accessibility. It ships a 28-file reference index for implementation detail and a standard checklist/testing output format. Reach for it whenever a build touches an Apple system technology and needs to match platform-expected UX and privacy patterns rather than a generic implementation.

What it does

This skill packages Apple's Human Interface Guidelines for twelve system technologies into one reference: Siri and Voice, Payments and Commerce, Health and Fitness, Smart Home, Augmented Reality, Machine Learning and Generative AI, Identity and Authentication, Cloud and Data, Shared Experiences, Automotive, and Accessibility, plus the general principles that apply across all of them (system integration matches established user-facing patterns, and privacy/user control comes first for health, payment, and identity data). For each area it states the core interaction rule the platform expects: Siri intents should be natural, predictable, and recoverable with clear fallbacks; Apple Pay buttons must use standard styles and never ask for card details when Apple Pay is available; HealthKit access requires explaining the health benefit before requesting it, with CareKit tasks encouraging and ResearchKit consent flows thorough and readable; HomeKit device control should respond immediately and show clear state; ARKit should only be used where spatial context adds genuine value and must guide setup and provide a clear exit; Core ML and generative-AI features must be clearly attributed, editable, and correctable by the user; Sign in with Apple should be the top authentication option with email-hiding respected; CloudKit sync must be invisible, conflict-resolved, and never lose data; SharePlay/AirPlay must support multiple participants and correct Now Playing metadata; CarPlay app types are restricted to audio, messaging, EV charging, navigation, parking, and quick food ordering with large touch targets; and every element needs a VoiceOver label, trait, and action tested with VoiceOver enabled.

Beyond the twelve principles, the skill ships a reference index of 28 topic files (Siri, Apple Pay, Tap to Pay, in-app purchase, HealthKit, CareKit, ResearchKit, HomeKit, ARKit, Core ML, generative AI, iCloud, Sign in with Apple, ID Verifier, SharePlay, AirPlay, CarPlay, Game Center, VoiceOver, Wallet, NFC, Maps, Mac Catalyst, Live Photos, iMessage apps, ShazamKit, always-on display, and photo editing) that the agent consults for implementation detail once the relevant technology is identified.

When to use - and when NOT to

Use it when a task involves integrating any of these Apple system technologies and needs to follow platform-expected patterns instead of inventing a custom flow. It is not a substitute for environment-specific validation, testing, or expert review, and the skill explicitly says to stop and ask for clarification when required inputs, permissions, safety boundaries, or success criteria are missing.

Inputs and outputs

It starts by asking which Apple technology is involved, the core use case, target platforms, whether API requirements and entitlements have been reviewed, and what data or permissions are needed. Output is an implementation checklist against Apple's guidelines, a breakdown of required versus optional features for App Store approval, the privacy and permission requirements (data access and usage-description strings), the user-facing flow from permission prompt through task completion, and testing guidance covering key scenarios and edge cases.

Integrations

It cross-references three related skills: hig-inputs for the input methods that drive these technologies (voice for Siri, Pencil for AR, gestures for Maps), hig-components-system for widgets, complications, and Live Activities that surface technology data, and hig-components-status for progress indicators during technology operations like sync, payment, or AR loading.

Who it's for

Developers and agents implementing Apple-platform features who need the interaction rules Apple's App Review and users actually expect, rather than a generic cross-platform pattern.

Source README

Provide an introduction that informs and provides a call to action. Clearly describe the subject and purpose of your study. Also allow existing participants to quickly log in and continue an in-progress study.

Describe meaningful images. If you don’t describe key images in your app’s content, people can’t use VoiceOver to fully experience them within your app. Because VoiceOver helps people understand the interface surrounding images too, such as nearby captions, describe only the information the image itself conveys.

FAQ

Common questions

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