Swift-ios-skills healthkit

Read, write, and query Apple Health data using HealthKit. Covers HKHealthStore authorization, sample queries, statistics queries, statistics collection queries for charts, saving HKQuantitySample data, background delivery, workout sessions with HKWorkoutSession and HKLiveWorkoutBuilder, HKUnit, and HKQuantityTypeIdentifier values. Use when integrating with Apple Health, displaying health metrics, recording workouts, or enabling background health data delivery.

install
source · Clone the upstream repo
git clone https://github.com/dpearson2699/swift-ios-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/dpearson2699/swift-ios-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/healthkit" ~/.claude/skills/dpearson2699-swift-ios-skills-healthkit && rm -rf "$T"
manifest: skills/healthkit/SKILL.md
source content

HealthKit

Read and write health and fitness data from the Apple Health store. Covers authorization, queries, writing samples, background delivery, and workout sessions. Targets Swift 6.3 / iOS 26+.

Contents

Setup and Availability

Project Configuration

  1. Enable the HealthKit capability in Xcode (adds the entitlement)
  2. Add
    NSHealthShareUsageDescription
    (read) and
    NSHealthUpdateUsageDescription
    (write) to Info.plist
  3. For background delivery, enable the "Background Delivery" sub-capability

Availability Check

Always check availability before accessing HealthKit. iPad and some devices do not support it.

import HealthKit

let healthStore = HKHealthStore()

guard HKHealthStore.isHealthDataAvailable() else {
    // HealthKit not available on this device (e.g., iPad)
    return
}

Create a single

HKHealthStore
instance and reuse it throughout your app. It is thread-safe.

Authorization

Request only the types your app genuinely needs. App Review rejects apps that over-request.

func requestAuthorization() async throws {
    let typesToShare: Set<HKSampleType> = [
        HKQuantityType(.stepCount),
        HKQuantityType(.activeEnergyBurned)
    ]

    let typesToRead: Set<HKObjectType> = [
        HKQuantityType(.stepCount),
        HKQuantityType(.heartRate),
        HKQuantityType(.activeEnergyBurned),
        HKCharacteristicType(.dateOfBirth)
    ]

    try await healthStore.requestAuthorization(
        toShare: typesToShare,
        read: typesToRead
    )
}

Checking Authorization Status

The app can only determine if it has not yet requested authorization. If the user denied access, HealthKit returns empty results rather than an error -- this is a privacy design.

let status = healthStore.authorizationStatus(
    for: HKQuantityType(.stepCount)
)

switch status {
case .notDetermined:
    // Haven't requested yet -- safe to call requestAuthorization
    break
case .sharingAuthorized:
    // User granted write access
    break
case .sharingDenied:
    // User denied write access (read denial is indistinguishable from "no data")
    break
@unknown default:
    break
}

Reading Data: Sample Queries

Use

HKSampleQueryDescriptor
(async/await) for one-shot reads. Prefer descriptors over the older callback-based
HKSampleQuery
.

func fetchRecentHeartRates() async throws -> [HKQuantitySample] {
    let heartRateType = HKQuantityType(.heartRate)

    let descriptor = HKSampleQueryDescriptor(
        predicates: [.quantitySample(type: heartRateType)],
        sortDescriptors: [SortDescriptor(\.endDate, order: .reverse)],
        limit: 20
    )

    let results = try await descriptor.result(for: healthStore)
    return results
}

// Extracting values from samples:
for sample in results {
    let bpm = sample.quantity.doubleValue(
        for: HKUnit.count().unitDivided(by: .minute())
    )
    print("\(bpm) bpm at \(sample.endDate)")
}

Reading Data: Statistics Queries

Use

HKStatisticsQueryDescriptor
for aggregated single-value stats (sum, average, min, max).

func fetchTodayStepCount() async throws -> Double? {
    let calendar = Calendar.current
    let startOfDay = calendar.startOfDay(for: Date())
    let endOfDay = calendar.date(byAdding: .day, value: 1, to: startOfDay)!

    let predicate = HKQuery.predicateForSamples(
        withStart: startOfDay, end: endOfDay
    )
    let stepType = HKQuantityType(.stepCount)
    let samplePredicate = HKSamplePredicate.quantitySample(
        type: stepType, predicate: predicate
    )

    let query = HKStatisticsQueryDescriptor(
        predicate: samplePredicate,
        options: .cumulativeSum
    )

    let result = try await query.result(for: healthStore)
    return result?.sumQuantity()?.doubleValue(for: .count())
}

Options by data type:

  • Cumulative types (steps, calories):
    .cumulativeSum
  • Discrete types (heart rate, weight):
    .discreteAverage
    ,
    .discreteMin
    ,
    .discreteMax

Reading Data: Statistics Collection Queries

Use

HKStatisticsCollectionQueryDescriptor
for time-series data grouped into intervals -- ideal for charts.

func fetchDailySteps(forLast days: Int) async throws -> [(date: Date, steps: Double)] {
    let calendar = Calendar.current
    let endDate = calendar.startOfDay(
        for: calendar.date(byAdding: .day, value: 1, to: Date())!
    )
    let startDate = calendar.date(byAdding: .day, value: -days, to: endDate)!

    let predicate = HKQuery.predicateForSamples(
        withStart: startDate, end: endDate
    )
    let stepType = HKQuantityType(.stepCount)
    let samplePredicate = HKSamplePredicate.quantitySample(
        type: stepType, predicate: predicate
    )

    let query = HKStatisticsCollectionQueryDescriptor(
        predicate: samplePredicate,
        options: .cumulativeSum,
        anchorDate: endDate,
        intervalComponents: DateComponents(day: 1)
    )

    let collection = try await query.result(for: healthStore)
    var dailySteps: [(date: Date, steps: Double)] = []

    collection.statisticsCollection.enumerateStatistics(
        from: startDate, to: endDate
    ) { statistics, _ in
        let steps = statistics.sumQuantity()?
            .doubleValue(for: .count()) ?? 0
        dailySteps.append((date: statistics.startDate, steps: steps))
    }

    return dailySteps
}

Long-Running Collection Query

Use

results(for:)
(plural) to get an
AsyncSequence
that emits updates as new data arrives:

let updateStream = query.results(for: healthStore)

Task {
    for try await result in updateStream {
        // result.statisticsCollection contains updated data
    }
}

Writing Data

Create

HKQuantitySample
objects and save them to the store.

func saveSteps(count: Double, start: Date, end: Date) async throws {
    let stepType = HKQuantityType(.stepCount)
    let quantity = HKQuantity(unit: .count(), doubleValue: count)

    let sample = HKQuantitySample(
        type: stepType,
        quantity: quantity,
        start: start,
        end: end
    )

    try await healthStore.save(sample)
}

Your app can only delete samples it created. Samples from other apps or Apple Watch are read-only.

Background Delivery

Register for background updates so your app is launched when new data arrives. Requires the background delivery entitlement.

func enableStepCountBackgroundDelivery() async throws {
    let stepType = HKQuantityType(.stepCount)

    try await healthStore.enableBackgroundDelivery(
        for: stepType,
        frequency: .hourly
    )
}

Pair with an

HKObserverQuery
to handle notifications. Always call the completion handler:

let observerQuery = HKObserverQuery(
    sampleType: HKQuantityType(.stepCount),
    predicate: nil
) { query, completionHandler, error in
    defer { completionHandler() }  // Must call to signal done
    guard error == nil else { return }
    // Fetch new data, update UI, etc.
}
healthStore.execute(observerQuery)

Frequencies:

.immediate
,
.hourly
,
.daily
,
.weekly

Call

enableBackgroundDelivery
once (e.g., at app launch). The system persists the registration.

Workout Sessions

Use

HKWorkoutSession
and
HKLiveWorkoutBuilder
to track live workouts. Available on watchOS 2+ and iOS 17+.

func startWorkout() async throws {
    let configuration = HKWorkoutConfiguration()
    configuration.activityType = .running
    configuration.locationType = .outdoor

    let session = try HKWorkoutSession(
        healthStore: healthStore,
        configuration: configuration
    )
    session.delegate = self

    let builder = session.associatedWorkoutBuilder()
    builder.dataSource = HKLiveWorkoutDataSource(
        healthStore: healthStore,
        workoutConfiguration: configuration
    )

    session.startActivity(with: Date())
    try await builder.beginCollection(at: Date())
}

func endWorkout(
    session: HKWorkoutSession,
    builder: HKLiveWorkoutBuilder
) async throws {
    session.end()
    try await builder.endCollection(at: Date())
    try await builder.finishWorkout()
}

For full workout lifecycle management including pause/resume, delegate handling, and multi-device mirroring, see references/healthkit-patterns.md.

Common Data Types

HKQuantityTypeIdentifier

IdentifierCategoryUnit
.stepCount
Fitness
.count()
.distanceWalkingRunning
Fitness
.meter()
.activeEnergyBurned
Fitness
.kilocalorie()
.basalEnergyBurned
Fitness
.kilocalorie()
.heartRate
Vitals
.count()/.minute()
.restingHeartRate
Vitals
.count()/.minute()
.oxygenSaturation
Vitals
.percent()
.bodyMass
Body
.gramUnit(with: .kilo)
.bodyMassIndex
Body
.count()
.height
Body
.meter()
.bodyFatPercentage
Body
.percent()
.bloodGlucose
Lab
.gramUnit(with: .milli).unitDivided(by: .literUnit(with: .deci))

HKCategoryTypeIdentifier

Common category types:

.sleepAnalysis
,
.mindfulSession
,
.appleStandHour

HKCharacteristicType

Read-only user characteristics:

.dateOfBirth
,
.biologicalSex
,
.bloodType
,
.fitzpatrickSkinType

HKUnit Reference

// Basic units
HKUnit.count()                              // Steps, counts
HKUnit.meter()                              // Distance
HKUnit.mile()                               // Distance (imperial)
HKUnit.kilocalorie()                        // Energy
HKUnit.joule(with: .kilo)                   // Energy (SI)
HKUnit.gramUnit(with: .kilo)                // Mass (kg)
HKUnit.pound()                              // Mass (imperial)
HKUnit.percent()                            // Percentage

// Compound units
HKUnit.count().unitDivided(by: .minute())   // Heart rate (bpm)
HKUnit.meter().unitDivided(by: .second())   // Speed (m/s)

// Prefixed units
HKUnit.gramUnit(with: .milli)               // Milligrams
HKUnit.literUnit(with: .deci)               // Deciliters

Common Mistakes

1. Over-requesting data types

DON'T -- request everything:

// App Review will reject this
let allTypes: Set<HKObjectType> = [
    HKQuantityType(.stepCount),
    HKQuantityType(.heartRate),
    HKQuantityType(.bloodGlucose),
    HKQuantityType(.bodyMass),
    HKQuantityType(.oxygenSaturation),
    // ...20 more types the app never uses
]

DO -- request only what you use:

let neededTypes: Set<HKObjectType> = [
    HKQuantityType(.stepCount),
    HKQuantityType(.activeEnergyBurned)
]

2. Not handling authorization denial

DON'T -- assume data will be returned:

func getSteps() async throws -> Double {
    let result = try await query.result(for: healthStore)
    return result!.sumQuantity()!.doubleValue(for: .count()) // Crashes if denied
}

DO -- handle nil gracefully:

func getSteps() async throws -> Double {
    let result = try await query.result(for: healthStore)
    return result?.sumQuantity()?.doubleValue(for: .count()) ?? 0
}

3. Assuming HealthKit is always available

DON'T -- skip the check:

let store = HKHealthStore() // Crashes on iPad
try await store.requestAuthorization(toShare: types, read: types)

DO -- guard availability:

guard HKHealthStore.isHealthDataAvailable() else {
    showUnsupportedDeviceMessage()
    return
}

4. Running heavy queries on the main thread

DON'T -- use old callback-based queries on main thread. DO -- use async descriptors:

// Bad: HKSampleQuery with callback on main thread
// Good: async descriptor
func loadAllData() async throws -> [HKQuantitySample] {
    let descriptor = HKSampleQueryDescriptor(
        predicates: [.quantitySample(type: stepType)],
        sortDescriptors: [SortDescriptor(\.endDate, order: .reverse)],
        limit: 100
    )
    return try await descriptor.result(for: healthStore)
}

5. Forgetting to call completionHandler in observer queries

DON'T -- skip the completion handler:

let query = HKObserverQuery(sampleType: type, predicate: nil) { _, handler, _ in
    processNewData()
    // Forgot to call handler() -- system won't schedule next delivery
}

DO -- always call it:

let query = HKObserverQuery(sampleType: type, predicate: nil) { _, handler, _ in
    defer { handler() }
    processNewData()
}

6. Using wrong statistics options for the data type

DON'T -- use cumulative sum on discrete types:

// Heart rate is discrete, not cumulative -- this returns nil
let query = HKStatisticsQueryDescriptor(
    predicate: heartRatePredicate,
    options: .cumulativeSum
)

DO -- match options to data type:

// Use discrete options for discrete types
let query = HKStatisticsQueryDescriptor(
    predicate: heartRatePredicate,
    options: .discreteAverage
)

Review Checklist

  • HKHealthStore.isHealthDataAvailable()
    checked before any HealthKit access
  • Only necessary data types requested in authorization
  • Info.plist
    includes
    NSHealthShareUsageDescription
    and/or
    NSHealthUpdateUsageDescription
  • HealthKit capability enabled in Xcode project
  • Authorization denial handled gracefully (nil results, not crashes)
  • Single
    HKHealthStore
    instance reused (not created per query)
  • Async query descriptors used instead of callback-based queries
  • Heavy queries not blocking main thread
  • Statistics options match data type (cumulative vs. discrete)
  • Background delivery paired with
    HKObserverQuery
    and
    completionHandler
    called
  • Background delivery entitlement enabled if using
    enableBackgroundDelivery
  • Workout sessions properly ended and builder finalized
  • Write operations only for sample types the app created

References