axiom-core-location-ref

charleswiltgen/axiom · updated Apr 8, 2026

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

Comprehensive API reference for modern Core Location (iOS 17+).

skill.md

Core Location Reference

Comprehensive API reference for modern Core Location (iOS 17+).

When to Use

  • Need API signatures for CLLocationUpdate, CLMonitor, CLServiceSession
  • Implementing geofencing or region monitoring
  • Configuring background location updates
  • Understanding authorization patterns
  • Debugging location service issues

Related Skills

  • axiom-core-location — Anti-patterns, decision trees, pressure scenarios
  • axiom-core-location-diag — Symptom-based troubleshooting
  • axiom-energy-ref — Location as battery subsystem (accuracy vs power)

Part 1: Modern API Overview (iOS 17+)

Four key classes replace legacy CLLocationManager patterns:

Class Purpose iOS
CLLocationUpdate AsyncSequence for location updates 17+
CLMonitor Condition-based geofencing/beacons 17+
CLServiceSession Declarative authorization goals 18+
CLBackgroundActivitySession Background location support 17+

Migration path: Legacy CLLocationManager still works, but new APIs provide:

  • Swift concurrency (async/await)
  • Automatic pause/resume
  • Simplified authorization
  • Better battery efficiency

Part 2: CLLocationUpdate API

Basic Usage

import CoreLocation

Task {
    do {
        for try await update in CLLocationUpdate.liveUpdates() {
            if let location = update.location {
                // Process location
            }
            if update.isStationary {
                break // Stop when user stops moving
            }
        }
    } catch {
        // Handle location errors
    }
}

LiveConfiguration Options

CLLocationUpdate.liveUpdates(.default)
CLLocationUpdate.liveUpdates(.automotiveNavigation)
CLLocationUpdate.liveUpdates(.otherNavigation)
CLLocationUpdate.liveUpdates(.fitness)
CLLocationUpdate.liveUpdates(.airborne)

Choose based on use case. If unsure, use .default or omit parameter.

Key Properties

Property Type Description
location CLLocation? Current location (nil if unavailable)
isStationary Bool True when device stopped moving
authorizationDenied Bool User denied location access
authorizationDeniedGlobally Bool Location services disabled system-wide
authorizationRequestInProgress Bool Awaiting user authorization decision
accuracyLimited Bool Reduced accuracy (updates every 15-20 min)
locationUnavailable Bool Cannot determine location
insufficientlyInUse Bool Can't request auth (not in foreground)

Automatic Pause/Resume

When device becomes stationary:

  1. Final update delivered with isStationary = true and valid location
  2. Updates pause (saves battery)
  3. When device moves, updates resume with isStationary = false

No action required—happens automatically.

AsyncSequence Operations

// Get first location with speed > 10 m/s
let fastUpdate = try await CLLocationUpdate.liveUpdates()
    .first { $0.location?.speed ?? 0 > 10 }

// WARNING: Avoid filters that may never match (e.g., horizontalAccuracy < 1)

Part 3: CLMonitor API

Swift actor for monitoring geographic conditions and beacons.

Basic Geofencing

let monitor = await CLMonitor("MyMonitor")

// Add circular region
let condition = CLMonitor.CircularGeographicCondition(
    center: CLLocationCoordinate2D(latitude: 37.33, longitude: -122.01),
    radius: 100
)
await monitor.add(condition, identifier: "ApplePark")

// Await events
for try await event in monitor.events {
    switch event.state {
    case .satisfied:  // User entered region
        handleEntry(event.identifier)
    case .unsatisfied:  // User exited region
        handleExit(event.identifier)
    case .unknown:
        break
    @unknown default:
        break
    }
}

CircularGeographicCondition

CLMonitor.CircularGeographicCondition(
    center: CLLocationCoordinate2D,
    radius: CLLocationDistance  // meters, minimum ~100m effective
)

BeaconIdentityCondition

Three granularity levels:

// All beacons with UUID (any site)
CLMonitor.BeaconIdentityCondition(uuid: myUUID)

// Specific site (UUID + major)
CLMonitor.BeaconIdentityCondition(uuid: myUUID, major: 100)

// Specific beacon (UUID + major + minor)
CLMonitor.BeaconIdentityCondition(uuid: myUUID, major: 100, minor: 5)

Condition Limit

Maximum 20 conditions per app. Prioritize what to monitor. Swap regions dynamically based on user location if needed.

Adding with Assumed State

// If you know initial state
await monitor.add(condition, identifier: "Work", assuming: .unsatisfied)

Core Location will correct if assumption wrong.

Accessing Records

// Get single record
if let record = await monitor.record(for: "ApplePark") {
    let condition = record.condition
    let lastEvent = record.lastEvent
    let state = lastEvent.state
    let date = lastEvent.date
}

// Get all identifiers
let allIds = await monitor.identifiers

Event Properties

Property Description
identifier String identifier of condition
state .satisfied, .unsatisfied, .unknown
date When state changed
refinement For wildcard beacons, actual UUID/major/minor detected
conditionLimitExceeded Too many conditions (max 20)
conditionUnsupported Condition type not available
accuracyLimited Reduced accuracy prevents monitoring

Critical Requirements

  1. One monitor per name — Only one instance with given name at a time
  2. Always await events — Events only become lastEvent after handling
  3. Reinitialize on launch — Recreate monitor in didFinishLaunchingWithOptions

Part 4: CLServiceSession API (iOS 18+)

Declarative authorization—tell Core Location what you need, not what to do.

Basic Usage

// Hold session for duration of feature
let session = CLServiceSession(authorization: .whenInUse)

for try await update in CLLocationUpdate.liveUpdates() {
    // Process updates
}

Authorization Requirements

CLServiceSession(authorization: .none)       // No auth request
CLServiceSession(authorization: .whenInUse)  // Request When In Use
CLServiceSession(authorization: .always)     // Request Always (must start in foreground)

Full Accuracy Request

// For features requiring precise location (e.g., navigation)
CLServiceSession(
    authorization: .whenInUse,
    fullAccuracyPurposeKey: "NavigationPurpose"  // Key in Info.plist
)

Requires NSLocationTemporaryUsageDescriptionDictionary in Info.plist.

Implicit Sessions

Iterating CLLocationUpdate.liveUpdates() or CLMonitor.events creates implicit session with .whenInUse goal.

To disable implicit sessions:

<!-- Info.plist -->
<key>NSLocationRequireExplicitServiceSession</key>
<true/>

Session Layering

Don't replace sessions—layer them:

how to use axiom-core-location-ref

How to use axiom-core-location-ref on Cursor

AI-first code editor with Composer

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-core-location-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-core-location-ref

The skills CLI fetches axiom-core-location-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-core-location-ref

Reload or restart Cursor to activate axiom-core-location-ref. Access the skill through slash commands (e.g., /axiom-core-location-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)
  • No comments yet — start the thread.
general reviews

Ratings

4.573 reviews
  • Kofi Sanchez· Dec 28, 2024

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

  • William Nasser· Dec 24, 2024

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

  • James Robinson· Dec 16, 2024

    axiom-core-location-ref reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ishan Ghosh· Dec 12, 2024

    axiom-core-location-ref fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Luis Johnson· Dec 12, 2024

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

  • Kofi Chen· Dec 12, 2024

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

  • Michael Mehta· Dec 8, 2024

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

  • Luis Farah· Dec 4, 2024

    Useful defaults in axiom-core-location-ref — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chinedu Nasser· Nov 19, 2024

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

  • Sakura Smith· Nov 15, 2024

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

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