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Firebase Remote Config

Community
evanca
firebase-remote-config

Use when implementing feature flags, running A/B tests, setting parameter defaults, fetching/activating config, or enabling real-time config updates.

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill namefirebase-remote-config
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 Remote Config 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-remote-config
  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-remote-config .claude/skills/firebase-remote-config
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firebase Remote Config 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 Remote Config 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 Remote Config 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 Remote Config Skill

This skill defines how to correctly use Firebase Remote Config in Flutter applications.

When to Use

Use this skill when:

  • Implementing feature flags or remote configuration without deploying app updates.
  • Managing parameter defaults and fetching remote values.
  • Implementing real-time config updates for instant changes.
  • Setting up A/B testing or conditional targeting for user segments.

1. Setup and Configuration

flutter pub add firebase_remote_config
flutter pub add firebase_analytics  # required for conditional targeting of app instances
dart
import 'package:firebase_remote_config/firebase_remote_config.dart';

final remoteConfig = FirebaseRemoteConfig.instance;
  • Enable Google Analytics in the Firebase project for user property and audience targeting.
  • Ensure the Remote Config REST API is not disabled — the SDK depends on it.
  • For macOS, enable Keychain Sharing in Xcode.

Configure settings:

dart
await remoteConfig.setConfigSettings(RemoteConfigSettings(
  fetchTimeout: const Duration(minutes: 1),
  minimumFetchInterval: const Duration(hours: 1),
));

2. Parameter Management

Set in-app defaults (ensures the app behaves as intended before connecting to the backend):

dart
await remoteConfig.setDefaults(const {
  "feature_new_onboarding": false,
  "max_retry_attempts": 3,
  "welcome_message": "Hello, world!",
  "promo_discount_pct": 0.0,
});

Read values with type-specific getters:

dart
final showNewOnboarding = remoteConfig.getBool("feature_new_onboarding");
final maxRetries = remoteConfig.getInt("max_retry_attempts");
final welcomeMsg = remoteConfig.getString("welcome_message");
final discount = remoteConfig.getDouble("promo_discount_pct");
  • Never store confidential data in Remote Config keys or values — they can be accessed by end users.
  • Define parameters with the same names in the Firebase console as those in the app.
  • Group related parameters with common prefixes (e.g., login_timeout, login_attempts_max).

3. Fetching and Activating

dart
await remoteConfig.fetchAndActivate();
  • Use fetchAndActivate() to fetch and apply values in a single call.
  • Alternatively, call fetch() then activate() separately to control when values take effect.
  • Activate fetched values at appropriate times (e.g., app start) for a smooth user experience.
  • Check remoteConfig.lastFetchStatus to determine if the fetch was successful, failed, or throttled.
  • Handle fetch failures gracefully — default values are used automatically when fetch fails.

4. Real-time Updates

dart
remoteConfig.onConfigUpdated.listen((event) async {
  await remoteConfig.activate();
  // event.updatedKeys contains the changed parameter names
  if (event.updatedKeys.contains("feature_new_onboarding")) {
    // Refresh UI based on the new value
  }
});
  • Real-time Remote Config is not available for Web.
  • Update UI state when new configuration values are activated.
  • Ensure real-time updates do not disrupt the user experience mid-flow.

5. Throttling and Performance

  • Fetch calls are throttled if an app fetches too frequently.
  • Default minimum fetch interval in production: 12 hours.
  • For development, use a shorter interval — but only in debug builds:
dart
await remoteConfig.setConfigSettings(RemoteConfigSettings(
  fetchTimeout: const Duration(minutes: 1),
  minimumFetchInterval: const Duration(minutes: 5),
));
  • Be mindful of service-side quota limits with a large user base.

6. Testing and Debugging

  • Use conditional values in the Firebase console to test configurations without new app deployments.
  • Implement A/B testing with different parameter values for different user segments.
  • Test the app with both default and remote values.
  • Verify graceful handling of configuration changes at runtime.
  • Test offline behavior to ensure proper fallback to defaults.

References

Frequently asked questions

What does the Firebase Remote Config AI skill do?

Use when implementing feature flags, running A/B tests, setting parameter defaults, fetching/activating config, or enabling real-time config updates.

Why use Firebase Remote Config on TypingMind?

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

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

Which AI models can use Firebase Remote Config?

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 Remote Config?

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

Is the Firebase Remote Config 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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