Why are my iOS stack traces showing memory addresses instead of code?

This typically occurs when dSYM files are missing from your crash reporting dashboard. This skill provides scripts to automate dSYM uploads during the Xcode build phase.

Can I use these scripts in my CI/CD pipeline?

Absolutely. The skill provides shell scripts and Gradle configurations designed to run in automated environments like GitHub Actions, Bitrise, or Jenkins.

Does this skill support React Native Hermes?

Yes, it includes specific configurations for handling Hermes bytecode, which requires specific source map generation to make stack traces readable.

How do I verify if my Android ProGuard mappings were uploaded correctly?

The skill includes a verification checklist and specific CLI commands for various vendors to check the status of your mapping files.

Mobile Crash Symbolication Setup

Name: Mobile Crash Symbolication Setup
Author: nexus-labs-automation

bynexus-labs-automation

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Mobile Development

Configures crash symbolication for iOS, Android, and React Native to transform cryptic stack traces into readable code references.

This skill provides comprehensive guidance and automation patterns for setting up crash symbolication across all major mobile platforms. It helps developers automate the discovery and upload of dSYMs for iOS, ProGuard/R8 mapping files for Android, and source maps for React Native—including support for Hermes bytecode. By implementing these standardized workflows, engineering teams can ensure that production crashes are instantly actionable with clear file names and line numbers, effectively eliminating the manual effort of debugging from raw memory addresses or minified code bundles.

Key Features

01Verification checklists to match build UUIDs with uploaded symbol files

02Automated dSYM upload scripts for iOS Xcode build phases

03ProGuard and R8 mapping configuration for Android Gradle builds

04Source map generation and upload workflows for React Native and Expo

05Troubleshooting guides for resolving 'redacted' or 'unknown' stack traces

0698 GitHub stars

Use Cases

01Fixing unreadable production error logs that show memory addresses instead of code

02Integrating symbol uploads into CI/CD pipelines to ensure every release is debuggable

03Initial setup of crash reporting providers like Sentry, Crashlytics, or Bugsnag

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nexus-labs-automation/mobile-observability symbolication-setup

For use in Claude.ai and ChatGPT

Download Skill