home / skills / a5c-ai / babysitter / mobile-analytics
This skill streamlines mobile analytics integration across Firebase, Mixpanel, and Amplitude, enabling robust event tracking, crash reporting, and user
npx playbooks add skill a5c-ai/babysitter --skill mobile-analyticsReview the files below or copy the command above to add this skill to your agents.
---
name: Mobile Analytics
description: Mobile app analytics and crash reporting integration
version: 1.0.0
category: Analytics & Monitoring
slug: mobile-analytics
status: active
---
# 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 {
[email protected] { (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 release
This skill delivers end-to-end mobile analytics and crash reporting integration for iOS and Android apps. It centralizes configuration and implementation of Firebase Analytics, Crashlytics, Mixpanel, Amplitude, Segment, and remote config experiments. The skill focuses on reliable event schemas, crash diagnostics, and data routing while enforcing naming, parameter, and privacy gates.
The skill inspects code and configuration files to detect analytics SDK usage, event logging patterns, and Crashlytics integration points. It generates or updates event schemas, analytics helpers, and SDK initialization code, and it can run CLI commands for Firebase setup and dSYM uploads. It also validates event naming, required parameters, PII exclusion, and consent hooks, and helps wire third-party destinations and remote-config experiments.
Does the skill handle both iOS and Android implementations?
Yes. It provides platform-specific helpers, examples, and validation for iOS (Swift) and Android (Kotlin/Java).
Can it prevent PII from being sent to analytics?
The skill enforces PII exclusion rules and adds checks to validate required consent is present before logging sensitive data.