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Firebase Messaging

Community
evanca
firebase-messaging

Use when setting up Firebase Cloud Messaging, managing permissions and tokens, handling background/foreground notification taps, or dispatching messages server-side (HTTP v1).

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill namefirebase-messaging
Stars
651
Forks
67
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Firebase Messaging 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/evanca/flutter-ai-rules/tree/main/skills/firebase-messaging
  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/evanca/flutter-ai-rules.git /tmp/flutter-ai-rules
mkdir -p .claude/skills
cp -r /tmp/flutter-ai-rules/skills/firebase-messaging .claude/skills/firebase-messaging
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firebase Messaging 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 Firebase Messaging 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 Firebase Messaging 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.

Firebase Cloud Messaging Skill

This skill defines how to correctly use Firebase Cloud Messaging (FCM) in Flutter applications.

When to Use

Use this skill when:

  • Setting up push notifications with FCM in a Flutter project.
  • Handling messages in foreground, background, and terminated states.
  • Managing notification permissions and FCM tokens.
  • Configuring platform-specific notification display behavior.

1. Setup and Configuration

flutter pub add firebase_messaging

iOS:

  • Enable Push Notifications and Background Modes in Xcode.
  • Upload your APNs authentication key to Firebase before using FCM.
  • Do not disable method swizzling — it is required for FCM token handling.
  • Ensure the bundle ID for your APNs authentication key matches your app's bundle ID.

Android:

  • Devices must run Android 4.4+ with Google Play services installed.
  • Check for Google Play services compatibility in both onCreate() and onResume().

Web:

  • Create and register a service worker file named firebase-messaging-sw.js in your web/ directory:
js
importScripts("https://www.gstatic.com/firebasejs/10.7.0/firebase-app-compat.js");
importScripts("https://www.gstatic.com/firebasejs/10.7.0/firebase-messaging-compat.js");

firebase.initializeApp({ /* your config */ });

const messaging = firebase.messaging();

messaging.onBackgroundMessage((message) => {
  console.log("onBackgroundMessage", message);
});

2. Message Handling

Foreground messages:

dart
FirebaseMessaging.onMessage.listen((RemoteMessage message) {
  print('Foreground message data: ${message.data}');
  if (message.notification != null) {
    print('Notification: ${message.notification}');
  }
});

Background messages:

dart
@pragma('vm:entry-point')
Future<void> _firebaseMessagingBackgroundHandler(RemoteMessage message) async {
  // Initialize Firebase before using other Firebase services in background
  await Firebase.initializeApp();
  print("Background message: ${message.messageId}");
}

void main() {
  FirebaseMessaging.onBackgroundMessage(_firebaseMessagingBackgroundHandler);
  runApp(MyApp());
}

Background handler rules:

  • Must be a top-level function (not anonymous, not a class method).
  • Annotate with @pragma('vm:entry-point') (Flutter 3.3.0+) to prevent removal during tree shaking in release mode.
  • Cannot update app state or execute UI-impacting logic — runs in a separate isolate.
  • Call Firebase.initializeApp() before using any other Firebase services.

3. Permissions

dart
NotificationSettings settings = await FirebaseMessaging.instance.requestPermission(
  alert: true,
  badge: true,
  sound: true,
  announcement: false,
  carPlay: false,
  criticalAlert: false,
  provisional: false,
);

print('Authorization status: ${settings.authorizationStatus}');
  • iOS / macOS / Web / Android 13+: Must request permission before receiving FCM payloads.
  • Android < 13: authorizationStatus returns authorized if the user has not disabled notifications in OS settings.
  • Android 13+: Track permission requests in your app — there's no way to determine if the user chose to grant/deny.
  • Use provisional permissions on iOS (provisional: true) to let users choose notification types after receiving their first notification.

4. Token Management

Get FCM registration token (use to send messages to a specific device):

dart
final fcmToken = await FirebaseMessaging.instance.getToken();

Web — provide VAPID key:

dart
final fcmToken = await FirebaseMessaging.instance.getToken(
  vapidKey: "BKagOny0KF_2pCJQ3m....moL0ewzQ8rZu"
);

Listen for token refresh:

dart
FirebaseMessaging.instance.onTokenRefresh.listen((fcmToken) {
  // Send updated token to your application server
}).onError((err) {
  // Handle error
});

Apple platforms — ensure APNS token is available before FCM calls:

dart
final apnsToken = await FirebaseMessaging.instance.getAPNSToken();
if (apnsToken != null) {
  // Safe to make FCM plugin API requests
}

Token Lifecycle (Auth State): Tokens should be tied to user sessions. Save the token to your database when a user signs in, and delete the token (or remove it from the user's document) when they sign out. An FCM token is device-specific, not inherently tied to user auth data — failing to clear it on sign-out means the next user on that device might receive the previous user's notifications.


5. Platform-Specific Behavior

  • iOS: If the user swipes away the app from the app switcher, it must be manually reopened for background messages to work again.
  • Android: If the user force-quits from device settings, the app must be manually reopened.
  • iOS foreground notifications: Update presentation options to display notifications while the app is in the foreground:
    dart
    await FirebaseMessaging.instance.setForegroundNotificationPresentationOptions(
      alert: true,
      badge: true,
      sound: true,
    );
  • Android foreground notifications: Notification messages arriving while the app is in the foreground won't display a visible notification by default. You must consume the payload via the onMessage stream and manually display a visual cue (using your own UI logic or a local notifications plugin).
  • Android default channel: To set a default channel for background notifications, add this meta-data to your <application> block in AndroidManifest.xml:
    xml
    <meta-data
        android:name="com.google.firebase.messaging.default_notification_channel_id"
        android:value="high_importance_channel" />

6. Auto-Initialization Control

Disable auto-init — iOS (Info.plist):

FirebaseMessagingAutoInitEnabled = NO

Disable auto-init — Android (AndroidManifest.xml):

xml
<meta-data android:name="firebase_messaging_auto_init_enabled" android:value="false" />
<meta-data android:name="firebase_analytics_collection_enabled" android:value="false" />

Re-enable at runtime:

dart
await FirebaseMessaging.instance.setAutoInitEnabled(true);
  • The auto-init setting persists across app restarts once set.

7. iOS Image Notifications

Important: The iOS simulator does not display images in push notifications. Test on a physical device.

  • Add a Notification Service Extension in Xcode.
  • Use Messaging.serviceExtension().populateNotificationContent() in the extension for image handling.
  • Swift: add the FirebaseMessaging Swift package to your extension target.
  • Objective-C: add the Firebase/Messaging pod to your Podfile.

8. Notification Interaction Handling

When a user taps a notification, the app opens (or is brought to the foreground). Handle the interaction in both cases:

App was terminated:

dart
RemoteMessage? initialMessage =
    await FirebaseMessaging.instance.getInitialMessage();
if (initialMessage != null) {
  // Navigate based on message content
}

App was in background:

dart
FirebaseMessaging.onMessageOpenedApp.listen((RemoteMessage message) {
  // Navigate based on message content
});

Always handle both scenarios to ensure a smooth user experience regardless of app state when the notification was received.


9. Topic Messaging

  • Subscribing to a topic allows sending messages to multiple devices that have opted in.
  • Topic messages are best suited for publicly available information (e.g., weather updates), optimized for throughput rather than latency.
dart
// Subscribe
await FirebaseMessaging.instance.subscribeToTopic("weather_alerts");

// Unsubscribe
await FirebaseMessaging.instance.unsubscribeFromTopic("weather_alerts");

Note: subscribeToTopic() and unsubscribeFromTopic() are not supported for web clients via the Flutter plugin.


10. Sending a Test Message

The official Firebase documentation often obscures the exact steps for sending a test push notification. To fire a push (test or real) using the Firebase Console:

  1. Obtain your device's FCM registration token (see Section 4).
  2. Go to the Firebase Console and select your project.
  3. In the left navigation panel, find the Engage (or Run) section and click Messaging (or Cloud Messaging).
  4. Click New campaign and select Notifications.
  5. Enter a Notification title and Notification text.
  6. Click Send test message (often a button on the right side of the screen).
  7. In the dialog, enter your FCM registration token and click the + icon to add it.
  8. Make sure the token is checked, then click Test.

To send real automated push notifications to production users, you must use a server implementation (via the FCM HTTP v1 API or the Firebase Admin SDK) rather than the console.


11. Server-Side Credentials & Security

The legacy FCM server key endpoint was deprecated in June 2024 — HTTP v1 is the only supported option for sending pushes.

To authenticate server-to-server calls for HTTP v1, you need a Service Account:

  1. Go to Firebase Console → Project settings → Service accounts.
  2. Click Generate new private key (downloads a .json file).
  3. CRITICAL: This file contains highly sensitive secrets and must never be committed to git.
  4. Store the file securely (e.g., in a Secret Manager) or pass its stringified contents as an environment variable (like FIREBASE_SERVICE_ACCOUNT) to your backend.

12. Sending Messages (HTTP v1)

To send an FCM HTTP v1 message, your backend must:

  1. Complete an OAuth2 JWT exchange (sign with RS256, scope https://www.googleapis.com/auth/firebase.messaging, endpoint https://oauth2.googleapis.com/token).
  2. Construct and POST a JSON payload to https://fcm.googleapis.com/v1/projects/{project_id}/messages:send.

Here is a minimal, complete working example using Node.js and the google-auth-library:

javascript
const { GoogleAuth } = require('google-auth-library');

// Read the securely-stored service account JSON from environment
const credentials = JSON.parse(process.env.FIREBASE_SERVICE_ACCOUNT);

async function getAccessToken() {
  const auth = new GoogleAuth({
    credentials,
    scopes: ['https://www.googleapis.com/auth/firebase.messaging']
  });
  const client = await auth.getClient();
  const token = await client.getAccessToken();
  return token.token;
}

async function sendPushNotification(fcmToken, title, body) {
  const accessToken = await getAccessToken();
  const projectId = credentials.project_id;
  const url = `https://fcm.googleapis.com/v1/projects/${projectId}/messages:send`;
  
  const payload = {
    message: {
      token: fcmToken,
      notification: {
        title: title,
        body: body,
      },
      // Target specific platform features (e.g., channel on Android, sound on iOS)
      android: {
        notification: {
          channel_id: 'high_importance_channel',
        }
      },
      apns: {
        payload: {
          aps: {
            sound: 'default',
          }
        }
      }
    }
  };

  const response = await fetch(url, {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${accessToken}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify(payload)
  });

  return response.json();
}

References

Frequently asked questions

What does the Firebase Messaging AI skill do?

Use when setting up Firebase Cloud Messaging, managing permissions and tokens, handling background/foreground notification taps, or dispatching messages server-side (HTTP v1).

Why use Firebase Messaging on TypingMind?

Because you install it once and use it with any model. Firebase Messaging 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 Firebase Messaging in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/evanca/flutter-ai-rules/tree/main/skills/firebase-messaging. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Firebase Messaging?

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 Firebase Messaging?

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

Is the Firebase Messaging AI skill free?

Yes. It is published on GitHub by evanca 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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