core-motion▌
dpearson2699/swift-ios-skills · updated Apr 8, 2026
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Read device sensor data -- accelerometer, gyroscope, magnetometer, pedometer, and
- ›activity recognition -- on iOS and watchOS. CoreMotion fuses raw sensor inputs into
- ›processed device-motion data and provides pedometer/activity APIs for fitness and
- ›navigation use cases. Targets Swift 6.3 / iOS 26+.
CoreMotion
Read device sensor data -- accelerometer, gyroscope, magnetometer, pedometer, and activity recognition -- on iOS and watchOS. CoreMotion fuses raw sensor inputs into processed device-motion data and provides pedometer/activity APIs for fitness and navigation use cases. Targets Swift 6.3 / iOS 26+.
Contents
- Setup
- CMMotionManager: Sensor Data
- Processed Device Motion
- CMPedometer: Step and Distance Data
- CMMotionActivityManager: Activity Recognition
- CMAltimeter: Altitude Data
- Update Intervals and Battery
- Common Mistakes
- Review Checklist
- References
Setup
Info.plist
Add NSMotionUsageDescription to Info.plist with a user-facing string explaining
why your app needs motion data. Without this key, the app crashes on first access.
<key>NSMotionUsageDescription</key>
<string>This app uses motion data to track your activity.</string>
Authorization
CoreMotion uses CMAuthorizationStatus for pedometer and activity APIs. Sensor
APIs (accelerometer, gyro) do not require explicit authorization but do require
the usage description key.
import CoreMotion
let status = CMMotionActivityManager.authorizationStatus()
switch status {
case .notDetermined:
// Will prompt on first use
break
case .authorized:
break
case .restricted, .denied:
// Direct user to Settings
break
@unknown default:
break
}
CMMotionManager: Sensor Data
Create exactly one CMMotionManager per app. Multiple instances degrade
sensor update rates.
import CoreMotion
let motionManager = CMMotionManager()
Accelerometer Updates
guard motionManager.isAccelerometerAvailable else { return }
motionManager.accelerometerUpdateInterval = 1.0 / 60.0 // 60 Hz
motionManager.startAccelerometerUpdates(to: .main) { data, error in
guard let acceleration = data?.acceleration else { return }
print("x: \(acceleration.x), y: \(acceleration.y), z: \(acceleration.z)")
}
// When done:
motionManager.stopAccelerometerUpdates()
Gyroscope Updates
guard motionManager.isGyroAvailable else { return }
motionManager.gyroUpdateInterval = 1.0 / 60.0
motionManager.startGyroUpdates(to: .main) { data, error in
guard let rotationRate = data?.rotationRate else { return }
print("x: \(rotationRate.x), y: \(rotationRate.y), z: \(rotationRate.z)")
}
motionManager.stopGyroUpdates()
Polling Pattern (Games)
For games, start updates without a handler and poll the latest sample each frame:
motionManager.startAccelerometerUpdates()
// In your game loop / display link:
if let data = motionManager.accelerometerData {
let tilt = data.acceleration.x
// Move player based on tilt
}
Processed Device Motion
Device motion fuses accelerometer, gyroscope, and magnetometer into a single
CMDeviceMotion object with attitude, user acceleration (gravity removed),
rotation rate, and calibrated magnetic field.
guard motionManager.isDeviceMotionAvailable else { return }
motionManager.deviceMotionUpdateInterval = 1.0 / 60.0
motionManager.startDeviceMotionUpdates(
using: .xArbitraryZVertical,
to: .main
) { motion, error in
guard let motion else { return }
let attitude = motion.attitude // roll, pitch, yaw
let userAccel = motion.userAcceleration
let gravity = motion.gravity
let heading = motion.heading // 0-360 degrees (requires magnetometer)
print("Pitch: \(attitude.pitch), Roll: \(attitude.roll)")
}
motionManager.stopDeviceMotionUpdates()
Attitude Reference Frames
| Frame | Use Case |
|---|---|
.xArbitraryZVertical |
Default. Z is vertical, X arbitrary at start. Most games. |
.xArbitraryCorrectedZVertical |
Same as above, corrected for gyro drift over time. |
.xMagneticNorthZVertical |
X points to magnetic north. Requires magnetometer. |
.xTrueNorthZVertical |
X points to true north. Requires magnetometer + location. |
Check available frames before use:
let available = CMMotionManager.availableAttitudeReferenceFrames()
if available.contains(.xTrueNorthZVertical) {
// Safe to use true north
}
CMPedometer: Step and Distance Data
CMPedometer provides step counts, distance, pace, cadence, and floor counts.
let pedometer = CMPedometer()
guard CMPedometer.isStepCountingAvailable() else { return }
// Historical query
pedometer.queryPedometerData(
from: Calendar.current.startOfDay(for: Date()),
to: Date()
) { data, error in
guard let data else { return }
print("Steps today: \(data.numberOfSteps)")
print("Distance: \(data.distance?.doubleValue ?? 0) meters")
print("Floors up: \(data.floorsAscended?.intValue ?? 0)")
}
// Live updates
pedometer.startUpdates(from: Date()) { data, error in
guard let data else { return }
print("Steps: how to use core-motionHow to use core-motion on Cursor
AI-first code editor with Composer
1Prerequisites
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 core-motion
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/dpearson2699/swift-ios-skills --skill core-motionThe skills CLI fetches core-motion from GitHub repository dpearson2699/swift-ios-skills and configures it for Cursor.
3Select 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│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/core-motionReload or restart Cursor to activate core-motion. Access the skill through slash commands (e.g., /core-motion) 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.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →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.
general reviewsRatings
4.4★★★★★44 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
core-motion reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★James Rahman· Dec 16, 2024
I recommend core-motion for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Tariq Chen· Dec 8, 2024
core-motion reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Zara Shah· Nov 27, 2024
I recommend core-motion for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Zaid Desai· Nov 27, 2024
Keeps context tight: core-motion is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Piyush G· Nov 19, 2024
I recommend core-motion for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mei Taylor· Nov 7, 2024
core-motion reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Emma Reddy· Oct 26, 2024
Registry listing for core-motion matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Zara Nasser· Oct 18, 2024
Useful defaults in core-motion — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ira Garcia· Oct 18, 2024
core-motion is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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