Best use case
Mobile Analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Mobile app analytics and crash reporting integration
Teams using Mobile Analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mobile-analytics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Mobile Analytics Compares
| Feature / Agent | Mobile Analytics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Mobile app analytics and crash reporting integration
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Mobile Analytics Skill
## Overview
This skill provides comprehensive capabilities for mobile app analytics and crash reporting integration. It enables configuration of Firebase Analytics, Crashlytics, Mixpanel, Amplitude, and other analytics platforms.
## Allowed Tools
- `bash` - Execute Firebase CLI and SDK commands
- `read` - Analyze analytics configurations
- `write` - Generate analytics event schemas and configurations
- `edit` - Update analytics implementations
- `glob` - Search for analytics files
- `grep` - Search for event tracking patterns
## Capabilities
### Firebase Analytics
1. **Event Configuration**
- Configure custom events
- Set user properties
- Implement screen tracking
- Configure event parameters
- Handle default events
2. **User Segmentation**
- Configure audiences
- Set user IDs
- Implement user properties
- Handle demographics
### Firebase Crashlytics
3. **Crash Reporting**
- Configure crash reporting
- Implement custom keys
- Log non-fatal errors
- Set user identifiers
- Configure crash alerting
4. **Debug Tools**
- Enable debug mode
- Configure test crashes
- Analyze stack traces
- Handle dSYM uploads
### Third-Party Analytics
5. **Mixpanel/Amplitude**
- Configure SDKs
- Implement event tracking
- Set user profiles
- Handle funnels
6. **Segment**
- Configure data routing
- Implement destinations
- Handle identity
### A/B Testing
7. **Remote Config**
- Configure feature flags
- Implement experiments
- Handle rollout percentages
- Analyze results
## Target Processes
- `mobile-analytics-setup.js` - Analytics implementation
- `firebase-backend-integration.js` - Firebase services
- `mobile-performance-optimization.js` - Performance monitoring
## Dependencies
- Firebase SDK
- Analytics platform SDKs
- Firebase CLI
## Usage Examples
### Firebase Analytics Setup (iOS)
```swift
// AppDelegate.swift
import FirebaseCore
import FirebaseAnalytics
@main
class AppDelegate: UIResponder, UIApplicationDelegate {
func application(_ application: UIApplication,
didFinishLaunchingWithOptions launchOptions: [UIApplication.LaunchOptionsKey: Any]?) -> Bool {
FirebaseApp.configure()
return true
}
}
// Analytics Helper
struct AnalyticsManager {
static func logEvent(_ name: String, parameters: [String: Any]? = nil) {
Analytics.logEvent(name, parameters: parameters)
}
static func setUserId(_ userId: String) {
Analytics.setUserID(userId)
}
static func setUserProperty(_ value: String?, forName name: String) {
Analytics.setUserProperty(value, forName: name)
}
static func logScreenView(screenName: String, screenClass: String) {
Analytics.logEvent(AnalyticsEventScreenView, parameters: [
AnalyticsParameterScreenName: screenName,
AnalyticsParameterScreenClass: screenClass
])
}
}
```
### Firebase Analytics Setup (Android)
```kotlin
// AnalyticsManager.kt
class AnalyticsManager @Inject constructor(
private val analytics: FirebaseAnalytics
) {
fun logEvent(name: String, params: Map<String, Any>? = null) {
analytics.logEvent(name, params?.toBundle())
}
fun setUserId(userId: String?) {
analytics.setUserId(userId)
}
fun setUserProperty(name: String, value: String?) {
analytics.setUserProperty(name, value)
}
fun logScreenView(screenName: String, screenClass: String) {
analytics.logEvent(FirebaseAnalytics.Event.SCREEN_VIEW) {
param(FirebaseAnalytics.Param.SCREEN_NAME, screenName)
param(FirebaseAnalytics.Param.SCREEN_CLASS, screenClass)
}
}
}
private fun Map<String, Any>.toBundle(): Bundle {
return Bundle().apply {
this@toBundle.forEach { (key, value) ->
when (value) {
is String -> putString(key, value)
is Int -> putInt(key, value)
is Long -> putLong(key, value)
is Double -> putDouble(key, value)
is Boolean -> putBoolean(key, value)
}
}
}
}
```
### Event Schema
```typescript
// analytics/events.ts
export const AnalyticsEvents = {
// User Events
USER_SIGNED_UP: 'user_signed_up',
USER_LOGGED_IN: 'user_logged_in',
USER_LOGGED_OUT: 'user_logged_out',
// Feature Events
FEATURE_USED: 'feature_used',
ITEM_VIEWED: 'item_viewed',
ITEM_ADDED_TO_CART: 'item_added_to_cart',
PURCHASE_COMPLETED: 'purchase_completed',
// Engagement Events
SHARE_CLICKED: 'share_clicked',
NOTIFICATION_RECEIVED: 'notification_received',
NOTIFICATION_OPENED: 'notification_opened',
} as const;
export interface EventParameters {
user_signed_up: { method: 'email' | 'google' | 'apple' };
item_viewed: { item_id: string; item_name: string; category: string };
purchase_completed: { transaction_id: string; value: number; currency: string };
}
```
## Quality Gates
- Event naming conventions enforced
- Required parameters validated
- PII data excluded
- Consent management implemented
## Related Skills
- `firebase-mobile` - Firebase services
- `mobile-perf` - Performance monitoring
## Version History
- 1.0.0 - Initial releaseRelated Skills
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