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eas-update-insights

Analyze EAS Update health and adoption metrics from crash rates and install counts.

Updated May 27, 2026
Search Tags:#monitoring#analytics#expo#eas#rollout#ota
One-click install
npx skills add https://github.com/rex009x/mush-talk --skill eas-update-insights-rex009x
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: eas-update-insights
Source: https://github.com/rex009x/mush-talk/tree/main/.agents/skills/eas-update-insights
Command: npx skills add https://github.com/rex009x/mush-talk --skill eas-update-insights-rex009x

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the lack of visibility into the performance and adoption of over-the-air (OTA) updates, allowing developers to identify crashes and rollout issues in real-time.

Core Features & Use Cases

  • Health Monitoring: Track crash rates, failed installs, and unique user counts for specific update groups.
  • Rollout Analysis: Compare the split between embedded binary users and OTA update users across different channels.
  • Use Case: After deploying a critical fix to production, use this skill to verify if the crash rate has decreased and confirm that the majority of users have successfully migrated to the new update.

Quick Start

Use the eas-update-insights skill to check the crash rate and install count for the latest update group on the production channel.

Frequently Asked Questions about eas-update-insights

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor EAS Update crash rates and install counts for OTA rollouts?▼

To monitor EAS Update crash rates and install counts, you can analyze the health and adoption metrics of published OTA updates by querying user distribution and unique user counts for specific update groups.

Can I track the adoption split between embedded binary users and OTA update users on different channels?▼

Yes, you can track the adoption split between embedded binary users and OTA update users by analyzing rollout metrics and user distribution across different channels and runtime versions.

What is the best way to verify if a critical production fix decreased crash rates after an OTA deployment?▼

The best way to verify if a critical production fix decreased crash rates is to assess the health metrics of your latest EAS Update group to detect regressions and confirm successful user migration.

Do I need Expo CLI and authenticated session data to retrieve aggregate performance metrics for OTA updates?▼

Yes, retrieving aggregate performance metrics for OTA updates requires access to the Expo CLI and authenticated session data to query crash rates, failed installs, and user distribution.

How does regression detection work for over-the-air updates across different runtime versions?▼

Regression detection for over-the-air updates works by querying crash rates and adoption metrics across different runtime versions to identify failed installs and rollout issues in real-time.

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