A comprehensive tool for tracking mobile app performance across Firebase, App Store Connect, and Google Play Console.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mobile-app-analytics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mobile-app-analytics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Mobile App Analytics?
Mobile App Analytics is a specialized skill designed for developers and product managers who need deep insights into their application's performance. By integrating with core platforms like Firebase, App Store Connect, and the Play Console, this addition to your Openclaw Skills library enables sophisticated tracking of retention, funnels, and cohort analysis. It helps eliminate the distraction of vanity metrics by focusing on high-value data points like Lifetime Value (LTV), Average Revenue Per User (ARPU), and D1-D30 retention rates.
This tool centralizes your analytics strategy within the Openclaw Skills ecosystem, providing a structured way to manage app-specific KPIs and industry benchmarks. Whether you are managing an iOS-only project or a cross-platform Flutter app, this skill ensures consistent event naming and platform-specific data handling to provide a unified view of your user journey.
Mobile App Analytics Use Cases
- Analyzing user retention cohorts to identify specific churn points in the user lifecycle.
- Monitoring crash-free rates and DAU/MAU ratios to ensure app stability and engagement.
- Debugging conversion funnels across both iOS and Android platforms.
- Benchmarking app performance against industry standards using Openclaw Skills data structures.
- Automating the collection of revenue metrics like LTV and ARPU for financial reporting.
How Mobile App Analytics Works
- Detect the target platform (iOS, Android, or Cross-platform) to determine the necessary data sources and API requirements.
- Prioritize metrics based on the established hierarchy, focusing first on revenue and retention before engagement.
- Segment data into granular cohorts based on install date, acquisition source, and user tier for deeper insights.
- Apply platform-specific rules to handle data delays and attribution windows correctly.
- Monitor predefined alert thresholds to proactively flag performance anomalies like drops in retention.
- Ensure privacy compliance by filtering PII and respecting ATT requirements within the Openclaw Skills framework.
Mobile App Analytics Setup
To begin using this skill, create the local directory and review the integration guidelines provided in the setup file:
mkdir -p ~/mobile-app-analytics/
# Review the setup guide for detailed integration steps
cat ~/mobile-app-analytics/setup.md
Ensure you have your Firebase, App Store, or Play Console credentials available as environment variables for secure API access.
Mobile App Analytics Data Schema & Taxonomy
This skill organizes data within a dedicated local directory structure to maintain privacy and persistence within the Openclaw Skills environment.
| File or Folder | Description |
|---|---|
memory.md |
Primary file for tracking registered apps, active goals, and performance alerts. |
apps/ |
Directory containing individual Markdown files for each tracked application. |
{app-name}.md |
Detailed event logs, funnel definitions, and specific KPIs for a single app. |
benchmarks.md |
Reference data for industry-standard performance metrics for comparison. |
Mobile App Analytics Advanced Features
- Intelligent platform detection for unified Firebase and store-specific reporting.
- Automated alert thresholds that trigger when metrics like D1 retention or crash rates fall below industry floors.
- Strict enforcement of event naming conventions (verb_noun_qualifier) to ensure data cleanlines across teams.
- Cohort-first analysis logic natively integrated into the Openclaw Skills workflow.
- Privacy-centric data handling that keeps sensitive app configurations and benchmark notes on your local machine.
SKILL.md
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