How do I install the Mobile Observability skill?

Run npx skillmds@latest add amey-thakur/mobile-observability in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Mobile Observability safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Mobile Observability?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Mobile Observability free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Mobile Observability?

Amey-Thakur (@amey-thakur) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Mobile Observability by amey-thakur

Name: Mobile Observability
Author: Amey-Thakur

Mobile Observability

Instrument mobile apps for crash-free rate, ANR and hang detection, and release health you can gate rollouts on. Use when setting up mobile monitoring or deciding whether a release is healthy enough to expand.

Amey-Thakur a5339da 2.5 KB Updated Sep 17, 2026

File contents

Mobile observability

You cannot attach a debugger to a customer's phone. Observability is the replacement: every question you will ask during an incident must be answered by data the app already ships home.

Method

Anchor on crash-free sessions. Crash-free sessions (not users) is the rollout gate metric; set a floor (99.5% is a common bar) and halt expansion below it. Track it per release version, since blends hide a bad build behind a good installed base.
Symbolicate everything, automatically. Upload dSYMs / mapping files in CI for every build, including bitcode-stripped and R8-minified ones. An unsymbolicated stack trace is a support ticket, not a diagnosis.
Watch responsiveness, not just crashes. Android ANRs and iOS hangs (main thread blocked > ~250ms) hurt more users than crashes and are store-ranking inputs. Instrument startup time (cold and warm), frame drops on the key scrolling surfaces, and the p95 of your three business-critical flows.
Ship breadcrumbs, scrub PII. Navigation events, network failures, and flag states attached to each crash report reconstruct the path into the failure. Strip tokens, emails, and free-text user content at the SDK layer; observability must not become a data-leak vector.
Segment before you debug. Every metric sliced by app version, OS version, device class, and network type; most "mystery" regressions are one OS release or one low-memory device tier. An on-demand log-level bump via remote flag turns a reproducing user into a trace without a new build.
Alert on releases, not noise. Page on: new crash signature trending in the latest version, crash-free rate crossing the floor, ANR rate above the store's bad-behavior threshold. Everything else is a dashboard reviewed at rollout checkpoints.

Boundaries

Session replay and screen recording carry consent and privacy weight; involve legal review before enabling them, and never in auth or payment flows.
Offline and low-end devices delay telemetry; judge a rollout on 24h of data, not the first hour.
Observability tells you what broke, not why users leave; product analytics is a separate discipline with separate consent.

---name: mobile-observabilitydescription: Instrument mobile apps for crash-free rate, ANR and hang detection, and release health you can gate rollouts on. Use when setting up mobile monitoring or deciding whether a release is healthy enough to expand.---# Mobile observabilityYou cannot attach a debugger to a customer's phone. Observability is thereplacement: every question you will ask during an incident must beanswered by data the app already ships home.## Method1. **Anchor on crash-free sessions.** Crash-free sessions (not users) is the rollout gate metric; set a floor (99.5% is a common bar) and halt expansion below it. Track it per release version, since blends hide a bad build behind a good installed base.2. **Symbolicate everything, automatically.** Upload dSYMs / mapping files in CI for every build, including bitcode-stripped and R8-minified ones. An unsymbolicated stack trace is a support ticket, not a diagnosis.3. **Watch responsiveness, not just crashes.** Android ANRs and iOS hangs (main thread blocked > ~250ms) hurt more users than crashes and are store-ranking inputs. Instrument startup time (cold and warm), frame drops on the key scrolling surfaces, and the p95 of your three business-critical flows.4. **Ship breadcrumbs, scrub PII.** Navigation events, network failures, and flag states attached to each crash report reconstruct the path into the failure. Strip tokens, emails, and free-text user content at the SDK layer; observability must not become a data-leak vector.5. **Segment before you debug.** Every metric sliced by app version, OS version, device class, and network type; most "mystery" regressions are one OS release or one low-memory device tier. An on-demand log-level bump via remote flag turns a reproducing user into a trace without a new build.6. **Alert on releases, not noise.** Page on: new crash signature trending in the latest version, crash-free rate crossing the floor, ANR rate above the store's bad-behavior threshold. Everything else is a dashboard reviewed at rollout checkpoints.## Boundaries- Session replay and screen recording carry consent and privacy weight; involve legal review before enabling them, and never in auth or payment flows.- Offline and low-end devices delay telemetry; judge a rollout on 24h of data, not the first hour.- Observability tells you what broke, not why users leave; product analytics is a separate discipline with separate consent.

Frequently asked questions