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Flutterfire Configure

Community
evanca
flutterfire-configure

Use when adding Firebase to a Flutter project, running flutterfire configure, initializing Firebase in main.dart, or configuring multiple flavors.

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill nameflutterfire-configure
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 Flutterfire Configure 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/flutterfire-configure
  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/flutterfire-configure .claude/skills/flutterfire-configure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flutterfire Configure 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 Flutterfire Configure 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 Flutterfire Configure 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.

FlutterFire Configure Skill

This skill defines how to correctly set up and configure Firebase for Flutter applications.

When to Use

Use this skill when:

  • Adding Firebase to a Flutter project for the first time.
  • Running flutterfire configure after adding a new Firebase service or platform.
  • Initializing Firebase in main.dart.
  • Setting up separate Firebase projects for multiple app flavors.

1. Prerequisites

Install the required tools:

bash
npm install -g firebase-tools
firebase login
dart pub global activate flutterfire_cli

Minimum platform requirements:

  • Android: API level 19 (KitKat) or higher
  • Apple: iOS 11 or higher

2. Setup and Configuration

bash
# From your Flutter project directory:
flutterfire configure

# Add the core Firebase package:
flutter pub add firebase_core
  • Re-run flutterfire configure any time you add support for a new platform or start using a new Firebase service.
  • For Android-specific services (Crashlytics, Performance Monitoring), the FlutterFire CLI automatically adds the required Gradle plugins.
  • Rebuild with flutter run after adding new Firebase plugins.

3. Firebase Initialization

dart
import 'package:firebase_core/firebase_core.dart';
import 'firebase_options.dart';

void main() async {
  WidgetsFlutterBinding.ensureInitialized();
  await Firebase.initializeApp(
    options: DefaultFirebaseOptions.currentPlatform,
  );
  runApp(const MyApp());
}
  • Call WidgetsFlutterBinding.ensureInitialized() before Firebase initialization.
  • Place Firebase initialization before any other Firebase service calls.
  • Never modify firebase_options.dart manually — it is auto-generated.
  • Commit firebase_options.dart to version control — it contains non-secret configuration identifiers.
  • For Firebase Emulator Suite: await Firebase.initializeApp(demoProjectId: "demo-project-id").

4. Verification and Best Practices

After configuration, verify the setup is working:

  1. Run flutter run and confirm the app launches without Firebase initialization errors.
  2. Check the debug console for Firebase initialized successfully or similar confirmation.
  3. Verify firebase_options.dart was generated with the correct project ID.
  • Enable Firebase Analytics for optimal experience with Crashlytics, Remote Config, and other products.
  • Use a consistent Firebase project across all platforms for data consistency.
  • For iOS/macOS apps using certain Firebase services, add the Keychain Sharing capability in Xcode.
  • Test the Firebase configuration with both debug and release builds.
  • Check version compatibility between Flutter plugins and the underlying Firebase SDK.

5. Multiple App Flavors

Create separate Firebase projects per environment (development, staging, production):

bash
flutterfire config \
  --project=flutter-app-dev \
  --out=lib/firebase_options_dev.dart \
  --ios-bundle-id=com.example.flutterApp.dev \
  --ios-out=ios/flavors/dev/GoogleService-Info.plist \
  --android-package-name=com.example.flutter_app.dev \
  --android-out=android/app/src/dev/google-services.json

Centralize Firebase initialization by flavor:

dart
// firebase.dart
import 'package:firebase_core/firebase_core.dart';
import 'package:flutter/services.dart';
import 'package:flutter_app/firebase_options_prod.dart' as prod;
import 'package:flutter_app/firebase_options_stg.dart' as stg;
import 'package:flutter_app/firebase_options_dev.dart' as dev;

Future<void> initializeFirebaseApp() async {
  final firebaseOptions = switch (appFlavor) {
    'prod' => prod.DefaultFirebaseOptions.currentPlatform,
    'stg' => stg.DefaultFirebaseOptions.currentPlatform,
    'dev' => dev.DefaultFirebaseOptions.currentPlatform,
    _ => throw UnsupportedError('Invalid flavor: $appFlavor'),
  };
  await Firebase.initializeApp(options: firebaseOptions);
}
dart
// main.dart
void main() async {
  WidgetsFlutterBinding.ensureInitialized();
  await initializeFirebaseApp();
  runApp(const MainApp());
}
  • Use appFlavor or environment variables to select the configuration at runtime.
  • Import each flavor's config with namespace aliases (e.g., as dev).
  • Use a helper script to automate multi-flavor configuration.

References

Frequently asked questions

What does the Flutterfire Configure AI skill do?

Use when adding Firebase to a Flutter project, running flutterfire configure, initializing Firebase in main.dart, or configuring multiple flavors.

Why use Flutterfire Configure on TypingMind?

Because you install it once and use it with any model. Flutterfire Configure 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 Flutterfire Configure in TypingMind?

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

Which AI models can use Flutterfire Configure?

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 Flutterfire Configure?

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

Is the Flutterfire Configure 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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