Discipline skill for Core Location implementation decisions. Prevents common authorization mistakes, battery drain, and background location failures.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaxiom-core-locationExecute the skills CLI command in your project's root directory to begin installation:
Fetches axiom-core-location from charleswiltgen/axiom and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate axiom-core-location. Access via /axiom-core-location in your agent's command palette.
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.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Discipline skill for Core Location implementation decisions. Prevents common authorization mistakes, battery drain, and background location failures.
axiom-core-location-ref — API reference, code examplesaxiom-core-location-diag — Symptom-based troubleshootingaxiom-energy — Location as battery subsystemWrong (30-60% denial rate):
// First launch: "Can we have Always access?"
manager.requestAlwaysAuthorization()
Right (5-10% denial rate):
// Start with When In Use
CLServiceSession(authorization: .whenInUse)
// Later, when user triggers background feature:
CLServiceSession(authorization: .always)
Time cost: 15 min to fix code, but 30-60% of users permanently denied = feature adoption destroyed.
Why: Users deny aggressive requests. Start minimal, upgrade when user understands value.
Wrong (10x battery drain):
for try await update in CLLocationUpdate.liveUpdates() {
if isNearTarget(update.location) {
triggerGeofence()
}
}
Right (system-managed, low power):
let monitor = await CLMonitor("Geofences")
let condition = CLMonitor.CircularGeographicCondition(
center: target, radius: 100
)
await monitor.add(condition, identifier: "Target")
for try await event in monitor.events {
if event.state == .satisfied { triggerGeofence() }
}
Time cost: 5 min to refactor, saves 10x battery.
Wrong (wasted battery):
for try await update in CLLocationUpdate.liveUpdates() {
processLocation(update.location)
// Never stops, even when device stationary
}
Right (automatic pause/resume):
for try await update in CLLocationUpdate.liveUpdates() {
if let location = update.location {
processLocation(location)
}
if update.isStationary, let location = update.location {
// Device stopped moving - updates pause automatically
// Will resume when device moves again
saveLastKnownLocation(location)
}
}
Time cost: 2 min to add check, saves significant battery.
Wrong (broken UX):
for try await update in CLLocationUpdate.liveUpdates() {
guard let location = update.location else { continue }
// User denied - silent failure, no feedback
}
Right (graceful degradation):
for try await update in CLLocationUpdate.liveUpdates() {
if update.authorizationDenied {
showManualLocationPicker()
break
}
if update.authorizationDeniedGlobally {
showSystemLocationDisabledMessage()
break
}
if let location = update.location {
processLocation(location)
}
}
Time cost: 10 min to add handling, prevents confused users.
Wrong (battery drain for weather app):
// Weather app using navigation accuracy
CLLocationUpdate.liveUpdates(.automotiveNavigation)
Right (match accuracy to need):
// Weather: city-level is fine
CLLocationUpdate.liveUpdates(.default) // or .fitness for runners
// Navigation: needs high accuracy
CLLocationUpdate.liveUpdates(.automotiveNavigation)
| Use Case | Configuration | Accuracy | Battery |
|---|---|---|---|
| Navigation | .automotiveNavigation |
~5m | Highest |
| Fitness tracking | .fitness |
~10m | High |
| Store finder | .default |
~10-100m | Medium |
| Weather | .default |
~100m+ | Low |
Time cost: 1 min to change, significant battery savings.
Wrong (battery drain, location icon persists):
func viewDidLoad() {
Task {
for try await update in CLLocationUpdate.liveUpdates() {
updateMap(update.location)
}
}
}
// User navigates away, updates continue forever
Right (cancel when done):
private var locationTask: Task<Void, Error>?
func startTracking() {
locationTask = Task {
for try await update in CLLocationUpdate.liveUpdates() {
if Task.isCancelled { break }
updateMap(update.location)
}
}
}
func stopTracking() {
locationTask?.cancel()
locationTask = nil
}
Time cost: 5 min to add cancellation, stops battery drain.
Wrong (procedural authorization juggling):
func requestAuth() {
switch manager.authorizationStatus {
case .notDetermined:
manager.requestWhenInUseAuthorization()
case .authorizedWhenInUse:
if needsFullAccuracy {
manager.requestTemporaryFullAccuracyAuthorization(...)
}
// Complex state machine...
}
}
Right (declarative goals):
// Just declare what you need - Core Location handles the rest
let session = CLServiceSession(authorization: .whenInUse)
// For feature needing full accuracy
let navSession = CLServiceSession(
authorization: .whenInUse,
fullAccuracyPurposeKey: "Navigation"
)
// Monitor diagnostics if needed
for try await diag in session.diagnostics {
if diag.authorizationDenied { handleDenial(✓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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
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4.5★★★★★67 reviews- GGanesh Mohane★★★★★Dec 28, 2024
axiom-core-location reduced setup friction for our internal harness; good balance of opinion and flexibility.
- LLiam Shah★★★★★Dec 28, 2024
We added axiom-core-location from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- XXiao Taylor★★★★★Dec 20, 2024
I recommend axiom-core-location for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- XXiao Brown★★★★★Dec 16, 2024
Registry listing for axiom-core-location matched our evaluation — installs cleanly and behaves as described in the markdown.
- KKiara Iyer★★★★★Dec 16, 2024
axiom-core-location reduced setup friction for our internal harness; good balance of opinion and flexibility.
- LLiam Rahman★★★★★Dec 12, 2024
axiom-core-location fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- XXiao Smith★★★★★Dec 12, 2024
Solid pick for teams standardizing on skills: axiom-core-location is focused, and the summary matches what you get after install.
- RRahul Santra★★★★★Nov 19, 2024
I recommend axiom-core-location for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- LLiam Wang★★★★★Nov 19, 2024
Keeps context tight: axiom-core-location is the kind of skill you can hand to a new teammate without a long onboarding doc.
- XXiao Malhotra★★★★★Nov 11, 2024
axiom-core-location has been reliable in day-to-day use. Documentation quality is above average for community skills.
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