Add Sentry Rn logo

Add Sentry Rn

Community
khadinakbarlabs
add-sentry-rn

Add Sentry crash reporting and error monitoring to a React Native + Expo app, including source map upload and release tracking. Use when the user says 'add sentry', 'crash reporting', 'error monitoring', 'sentry expo', 'rn crash tracking'.

Overview

Publisherkhadinakbarlabs
Repositoryexpo-mobile-app-builder
Skill nameadd-sentry-rn
Stars
3
Forks
0
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by khadinakbarlabs on GitHub. Read the source before you install it.

Installation

Install the Add Sentry Rn AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/add-sentry-rn
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/khadinakbarlabs/expo-mobile-app-builder.git /tmp/expo-mobile-app-builder
mkdir -p .claude/skills
cp -r /tmp/expo-mobile-app-builder/skills/add-sentry-rn .claude/skills/add-sentry-rn
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Sentry Rn in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Add Sentry Rn on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Add Sentry Rn is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Add Sentry to React Native + Expo

Crash reporting + error tracking + performance monitoring. Evaluate it against the app's privacy, cost, and observability needs.

Privacy, credential, and external action gate

Creating a Sentry project, running its wizard, uploading source maps, or storing an auth token changes external services and may expose app metadata. Obtain owner approval for the Sentry organization/project and data-retention settings first. Never put a DSN, auth token, or source-map credential in this plugin, a public repository, a prompt, or logs.

Why Sentry over alternatives

  • Best RN integration (official SDK, source map upload built in)
  • Free tier: 5k errors/mo, generous for indie
  • Source maps for readable stack traces (vs minified gibberish)
  • Replay (see exact UI state at crash)
  • Performance traces

Install (Expo)

bash
npm exec --no -- expo install @sentry/react-native
npx @sentry/wizard@8.0.0 -i reactNative
# Wizard prompts for Sentry org + project, configures everything

This adds:

  • @sentry/react-native to deps
  • metro.config.js source map config
  • iOS native config to ios/Podfile
  • Sentry init code to App.tsx or _layout.tsx

Basic init (app/_layout.tsx for Expo Router)

ts
import * as Sentry from '@sentry/react-native';

Sentry.init({
  dsn: 'https://your-dsn@sentry.io/project',

  // Send errors only in production by default
  enabled: !__DEV__,

  // Performance: 10% sampling for prod
  tracesSampleRate: __DEV__ ? 1.0 : 0.1,

  // Replay: 100% of sessions with errors, 10% otherwise
  replaysOnErrorSampleRate: 1.0,
  replaysSessionSampleRate: 0.1,

  // Track release for source map matching
  release: `com.yourapp@${Constants.expoConfig?.version}`,
  dist: Constants.expoConfig?.ios?.buildNumber,

  integrations: [
    Sentry.mobileReplayIntegration(),
  ],
});

export default Sentry.wrap(RootLayout);

EAS Build integration

Add to eas.json:

json
{
  "build": {
    "production": {
      "env": {
        "SENTRY_AUTH_TOKEN": "@sentry-auth-token"
      }
    }
  }
}

After the owner has approved the target project, configure SENTRY_AUTH_TOKEN through an owner-managed EAS or CI secret store. This makes EAS upload source maps on each approved production build; do not store the token in eas.json.

Manual error capture

ts
try {
  await riskyOperation();
} catch (e) {
  Sentry.captureException(e, {
    tags: { feature: 'paywall' },
    extra: { userId: user.id, action: 'subscribe' },
  });
}

User context (privacy-aware)

ts
// On login
Sentry.setUser({
  id: user.id, // hashed/anonymized
  // Don't send email or PII unless you have privacy disclosure
});

// On logout
Sentry.setUser(null);

Performance traces (key flows)

ts
const transaction = Sentry.startTransaction({ name: 'paywall_purchase_flow' });

// ... do work ...

transaction.finish();

Sentry shows P50/P95 timing, breakdowns by step.

Replay (record session leading to error)

Auto-enabled with replaysOnErrorSampleRate. Privacy: by default Sentry masks all text/inputs. To unmask non-sensitive UI:

tsx
<View dataSet={{ sentryUnmask: true }}>
  <Text>This is OK to record</Text>
</View>

Privacy / disclosure

  • Add Sentry to your Privacy Manifest (privacy-manifest-rn)
  • Mention "we use Sentry for crash reporting" in privacy policy
  • Sentry is GDPR-compliant; sign their DPA via dashboard

Common gotchas

  • Source maps not uploading? Check SENTRY_AUTH_TOKEN is set in EAS env
  • Errors show as "minified.js:1" in production = source map upload failed
  • Sentry kills cold start by 50-100ms; use enableTracing: false if perf-critical
  • Init MUST be the first thing in your entry file or you'll miss early errors

Pair with

  • add-posthog-rn for product analytics (different concern, complementary)
  • privacy-manifest-rn to disclose Sentry properly
  • versioning-fingerprint so source maps match release versions

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Add Sentry Rn AI skill do?

Add Sentry crash reporting and error monitoring to a React Native + Expo app, including source map upload and release tracking. Use when the user says 'add sentry', 'crash reporting', 'error monitoring', 'sentry expo', 'rn crash tracking'.

Why use Add Sentry Rn on TypingMind?

Because you install it once and use it with any model. Add Sentry Rn is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Add Sentry Rn in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/add-sentry-rn. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Add Sentry Rn?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Add Sentry Rn?

As many as you like. As long as a model supports skills, you can use Add Sentry Rn with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Add Sentry Rn AI skill free?

Yes. It is published on GitHub by khadinakbarlabs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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