Flutter Pre Caching logo

Flutter Pre Caching

Community
evanca
flutter-pre-caching

Use when preloading fonts, asset/network images, Lottie/Rive animations, local JSON/config, warming initial API data, or optimizing Flutter Web startup.

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill nameflutter-pre-caching
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 Flutter Pre Caching 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/flutter-pre-caching
  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/flutter-pre-caching .claude/skills/flutter-pre-caching
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flutter Pre Caching 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 Flutter Pre Caching 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 Flutter Pre Caching 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.

Pre-caching in Flutter and Flutter Web

Pre-caching helps avoid jank, loading flashes, font swaps, and delayed first renders.

The key rule:

Pre-cache only what the user will likely see in the next 1 to 2 screens.

Do not pre-cache the whole app. That can slow startup and waste memory.


1. Google Fonts

Runtime Google Fonts preloading

Use GoogleFonts.pendingFonts() to load the font variants before showing text.

dart
import 'package:flutter/material.dart';
import 'package:google_fonts/google_fonts.dart';

class ExampleSimple extends StatefulWidget {
  const ExampleSimple({super.key});

  @override
  State<ExampleSimple> createState() => _ExampleSimpleState();
}

class _ExampleSimpleState extends State<ExampleSimple> {
  late final Future<List<void>> googleFontsPending;

  @override
  void initState() {
    super.initState();

    googleFontsPending = GoogleFonts.pendingFonts([
      GoogleFonts.poppins(),
      GoogleFonts.montserrat(fontStyle: FontStyle.italic),
    ]);
  }

  @override
  Widget build(BuildContext context) {
    final pushButtonTextStyle = GoogleFonts.poppins(
      textStyle: Theme.of(context).textTheme.headlineMedium,
    );

    final counterTextStyle = GoogleFonts.montserrat(
      fontStyle: FontStyle.italic,
      textStyle: Theme.of(context).textTheme.displayLarge,
    );

    return FutureBuilder<List<void>>(
      future: googleFontsPending,
      builder: (context, snapshot) {
        if (snapshot.connectionState != ConnectionState.done) {
          return const SizedBox();
        }

        return Column(
          mainAxisAlignment: MainAxisAlignment.center,
          children: [
            Text(
              'You have pushed the button this many times:',
              style: pushButtonTextStyle,
            ),
            Text(
              '0',
              style: counterTextStyle,
            ),
          ],
        );
      },
    );
  }
}

Production recommendation

For production and offline support, prefer bundling critical fonts as assets.

yaml
flutter:
  fonts:
    - family: AppFont
      fonts:
        - asset: assets/fonts/AppFont-Regular.ttf
        - asset: assets/fonts/AppFont-Bold.ttf
          weight: 700

Use it in the app theme:

dart
MaterialApp(
  theme: ThemeData(
    fontFamily: 'AppFont',
  ),
)

2. Asset images

Use precacheImage for images that appear soon.

dart
@override
void didChangeDependencies() {
  super.didChangeDependencies();

  precacheImage(
    const AssetImage('assets/images/header.png'),
    context,
  );
}

Then use the image normally:

dart
Image.asset('assets/images/header.png')

3. Network images

Use precacheImage with NetworkImage.

dart
@override
void didChangeDependencies() {
  super.didChangeDependencies();

  precacheImage(
    const NetworkImage('https://example.com/image.png'),
    context,
  );
}

Then use it normally:

dart
Image.network('https://example.com/image.png')

Important: precacheImage warms Flutter’s in-memory image cache. It does not provide long-term offline caching.

For disk caching, use a package like cached_network_image:

yaml
dependencies:
  cached_network_image: ^latest

Example:

dart
CachedNetworkImage(
  imageUrl: 'https://example.com/image.png',
)

4. Multiple image preloading

dart
@override
void didChangeDependencies() {
  super.didChangeDependencies();

  final images = <ImageProvider>[
    const AssetImage('assets/images/header.png'),
    const AssetImage('assets/images/avatar.png'),
    const NetworkImage('https://example.com/banner.png'),
  ];

  for (final image in images) {
    precacheImage(image, context);
  }
}

5. Waiting until images are ready

precacheImage returns a Future<void>, so you can wait before rendering the real UI.

dart
late Future<void> _preloadImagesFuture;

@override
void didChangeDependencies() {
  super.didChangeDependencies();

  _preloadImagesFuture = Future.wait([
    precacheImage(
      const AssetImage('assets/images/header.png'),
      context,
    ),
    precacheImage(
      const NetworkImage('https://example.com/banner.png'),
      context,
    ),
  ]);
}

@override
Widget build(BuildContext context) {
  return FutureBuilder<void>(
    future: _preloadImagesFuture,
    builder: (context, snapshot) {
      if (snapshot.connectionState != ConnectionState.done) {
        return const CircularProgressIndicator();
      }

      return Column(
        children: [
          Image.asset('assets/images/header.png'),
          Image.network('https://example.com/banner.png'),
        ],
      );
    },
  );
}

[!NOTE] Use didChangeDependencies, not initState, when you need context for precacheImage.


6. What should normally be pre-cached on app start?

Good candidates:

  • App logo
  • First screen hero image
  • First visible background image
  • Current user avatar
  • First visible card/list images
  • Main font variants
  • Small local config files
  • Translations needed for first paint
  • First API request
  • Lottie/Rive animation shown immediately

Bad candidates:

  • All product images
  • All gallery images
  • All remote feed images
  • All icons in the app
  • All route images
  • Every image from every screen
  • Large animations not shown immediately

7. Practical app-start preloader

dart
class AppPreloader {
  const AppPreloader();

  Future<void> preload(BuildContext context) async {
    await Future.wait([
      _precacheImages(context),
      _loadCriticalAssets(),
      _warmUpInitialData(),
    ]);
  }

  Future<void> _precacheImages(BuildContext context) {
    return Future.wait([
      precacheImage(
        const AssetImage('assets/images/home_hero.png'),
        context,
      ),
      precacheImage(
        const AssetImage('assets/images/logo.png'),
        context,
      ),
    ]);
  }

  Future<void> _loadCriticalAssets() async {
    await rootBundle.loadString('assets/config/app_config.json');
  }

  Future<void> _warmUpInitialData() async {
    // Example:
    // await userRepository.getCurrentUser();
  }
}

Usage:

dart
late Future<void> _preloadFuture;

@override
void didChangeDependencies() {
  super.didChangeDependencies();

  _preloadFuture = const AppPreloader().preload(context);
}

With FutureBuilder:

dart
@override
Widget build(BuildContext context) {
  return FutureBuilder<void>(
    future: _preloadFuture,
    builder: (context, snapshot) {
      if (snapshot.connectionState != ConnectionState.done) {
        return const SplashScreen();
      }

      return const HomeScreen();
    },
  );
}

8. Local JSON / config preloading

Useful for feature flags, local app config, mock data, translations, or onboarding content.

dart
import 'package:flutter/services.dart';

final configJson = await rootBundle.loadString(
  'assets/config/app_config.json',
);

Example:

dart
class AppConfigLoader {
  Future<String> load() {
    return rootBundle.loadString('assets/config/app_config.json');
  }
}

9. Initial API request warm-up

This is not pre-caching in the Flutter image-cache sense, but it is often the most useful startup optimization.

dart
final userFuture = userRepository.getCurrentUser();
final dashboardFuture = dashboardRepository.getDashboard();

Example:

dart
class StartupData {
  const StartupData({
    required this.user,
    required this.dashboard,
  });

  final User user;
  final Dashboard dashboard;
}

Future<StartupData> loadStartupData() async {
  final results = await Future.wait([
    userRepository.getCurrentUser(),
    dashboardRepository.getDashboard(),
  ]);

  return StartupData(
    user: results[0] as User,
    dashboard: results[1] as Dashboard,
  );
}

10. Lottie preloading

If the animation appears immediately, preload it.

dart
final composition = await AssetLottie(
  'assets/animations/success.json',
).load();

Use this only for animations shown early. Avoid preloading many large animations on app start.


11. Rive preloading

Rather than triggering the asset load during a build (which causes jank), preload the RiveFile byte data in advance:

dart
import 'package:flutter/services.dart';
import 'package:rive/rive.dart';

// Preload the RiveFile
final data = await rootBundle.load('assets/animations/character.riv');
final riveFile = RiveFile.import(data);

// Display using direct constructor to avoid initialization delays:
RiveAnimation.direct(riveFile);

This ensures that the animation renders immediately upon widget mount.


12. Shader warm-up

Most apps do not need this. It can help if you have:

  • Heavy custom painting
  • Complex transitions
  • Known animation jank
  • Older rendering paths

Basic shape:

dart
class CustomShaderWarmUp extends ShaderWarmUp {
  @override
  void warmUpOnCanvas(Canvas canvas) {
    final paint = Paint();

    canvas.drawRect(
      const Rect.fromLTWH(0, 0, 100, 100),
      paint,
    );
  }
}

Then set it before runApp:

dart
void main() {
  PaintingBinding.instance.shaderWarmUp = CustomShaderWarmUp();

  runApp(const MyApp());
}

Use this only when profiling shows shader compilation jank.


13. Flutter Web: different mindset

On Flutter Web, think less:

  • Pre-cache everything in memory

Think more:

  • Make the browser download key files early
  • Warm Flutter cache only for first-screen assets
  • Avoid surprise font fallback downloads
  • Avoid loading huge assets before first paint

14. Flutter Web image preload

For critical first-screen images, use both browser preload and Flutter precacheImage.

In web/index.html:

html
<link
  rel="preload"
  href="assets/assets/images/home_hero.png"
  as="image"
>

In Flutter:

dart
await precacheImage(
  const AssetImage('assets/images/home_hero.png'),
  context,
);

Why both?

  • HTML preload starts the browser download earlier.
  • precacheImage warms Flutter's image cache.

15. Flutter Web network image preload

In web/index.html:

html
<link
  rel="preload"
  href="https://example.com/banner.png"
  as="image"
>

In Flutter:

dart
await precacheImage(
  const NetworkImage('https://example.com/banner.png'),
  context,
);

Only do this for images the user is almost guaranteed to see.


16. Flutter Web font preload

Declare the font in pubspec.yaml:

yaml
flutter:
  fonts:
    - family: AppFont
      fonts:
        - asset: assets/fonts/AppFont-Regular.ttf
        - asset: assets/fonts/AppFont-Bold.ttf
          weight: 700

Preload the critical font in web/index.html:

html
<link
  rel="preload"
  href="assets/assets/fonts/AppFont-Regular.ttf"
  as="font"
  type="font/ttf"
  crossorigin
>

Use it in Flutter:

dart
ThemeData(
  fontFamily: 'AppFont',
)

Usually preload:

  • Regular
  • Bold
  • Maybe medium

Avoid preloading every weight and italic variant unless the first screen needs them.


17. Flutter Web and emojis

Emojis can trigger font fallback work.

Example:

dart
Text('Welcome 👋 🎉')

On web, this can cause:

  • Extra font download
  • Delayed render
  • Fallback font swap
  • Blank boxes
  • Different emoji style across platforms

18. Option 1: avoid emojis on first paint

Simple and effective:

dart
Text('Welcome')

Then show emojis after the app has loaded:

dart
Text('Welcome 👋')

This is often the best option if emojis are decorative.


19. Option 2: bundle and preload an emoji font

Add the font to pubspec.yaml:

yaml
flutter:
  fonts:
    - family: NotoColorEmoji
      fonts:
        - asset: assets/fonts/NotoColorEmoji.ttf

Preload it in web/index.html:

html
<link
  rel="preload"
  href="assets/assets/fonts/NotoColorEmoji.ttf"
  as="font"
  type="font/ttf"
  crossorigin
>

Use it where needed:

dart
const Text(
  '👋 🎉 ❤️',
  style: TextStyle(
    fontFamily: 'NotoColorEmoji',
  ),
)

Important:

  • Emoji fonts can be large.
  • Do not bundle a huge emoji font unless emojis are important to your product.

20. When emoji preloading makes sense

Good cases:

  • Chat app
  • Reactions
  • Comments
  • Social UI
  • Emoji picker
  • Emoji-heavy onboarding
  • Brand uses emoji heavily

Bad cases:

  • One decorative emoji on the welcome screen
  • Random emoji in a button
  • Rare emoji usage deep in the app

Rule:

  • If emojis are decorative, delay them or remove them from first paint.
  • If emojis are core to the product, use a known emoji rendering strategy.

21. Flutter Web renderer files

Flutter Web startup can also include renderer assets, for example CanvasKit or Skwasm files.

Usually, you do not preload these from Dart. You configure the renderer through Flutter Web initialization.

Example in web bootstrap:

js
_flutter.loader.load({
  config: {
    renderer: 'canvaskit',
  },
});

Other configs can include things like:

js
_flutter.loader.load({
  config: {
    renderer: 'canvaskit',
    canvasKitBaseUrl: '/canvaskit/',
  },
});

Most apps should let Flutter manage this unless there is a clear hosting or performance reason to change it.


22. Practical Flutter Web startup list

Usually preload:

  • App font regular/bold
  • Logo
  • First hero image
  • First visible background image
  • Critical above-the-fold asset images
  • Emoji font only if emojis are core to first paint
  • Small config needed immediately

Usually avoid:

  • All emoji fonts
  • All product images
  • All route images
  • All remote avatars
  • Large Lottie/Rive files not shown immediately
  • Every font weight
  • Every image in assets

23. Suggested folder structure

text
assets/
  images/
    logo.png
    home_hero.png
    onboarding_hero.png

  fonts/
    AppFont-Regular.ttf
    AppFont-Bold.ttf
    NotoColorEmoji.ttf

  config/
    app_config.json

  animations/
    success.json
    character.riv

24. Example pubspec.yaml

yaml
flutter:
  assets:
    - assets/images/
    - assets/config/
    - assets/animations/

  fonts:
    - family: AppFont
      fonts:
        - asset: assets/fonts/AppFont-Regular.ttf
        - asset: assets/fonts/AppFont-Bold.ttf
          weight: 700

    - family: NotoColorEmoji
      fonts:
        - asset: assets/fonts/NotoColorEmoji.ttf

25. Example web/index.html preload block

html
<!-- App fonts -->
<link
  rel="preload"
  href="assets/assets/fonts/AppFont-Regular.ttf"
  as="font"
  type="font/ttf"
  crossorigin
>

<link
  rel="preload"
  href="assets/assets/fonts/AppFont-Bold.ttf"
  as="font"
  type="font/ttf"
  crossorigin
>

<!-- Only if emojis are critical to first paint -->
<link
  rel="preload"
  href="assets/assets/fonts/NotoColorEmoji.ttf"
  as="font"
  type="font/ttf"
  crossorigin
>

<!-- Critical images -->
<link
  rel="preload"
  href="assets/assets/images/logo.png"
  as="image"
>

<link
  rel="preload"
  href="assets/assets/images/home_hero.png"
  as="image"
>

[!NOTE] Flutter web asset URLs often include assets/assets/... because Flutter serves declared assets under the assets/ path, while your asset path also starts with assets/.

For example:

  • Flutter asset: assets/images/logo.png
  • Web URL: assets/assets/images/logo.png

26. Complete startup example

dart
import 'package:flutter/material.dart';
import 'package:flutter/services.dart';
import 'package:google_fonts/google_fonts.dart';

class AppStartupPreloader {
  const AppStartupPreloader();

  Future<void> preload(BuildContext context) async {
    await Future.wait([
      _preloadFonts(),
      _preloadImages(context),
      _preloadLocalConfig(),
      _preloadStartupData(),
    ]);
  }

  Future<void> _preloadFonts() {
    return GoogleFonts.pendingFonts([
      GoogleFonts.inter(),
      GoogleFonts.inter(fontWeight: FontWeight.w700),
    ]);
  }

  Future<void> _preloadImages(BuildContext context) {
    return Future.wait([
      precacheImage(
        const AssetImage('assets/images/logo.png'),
        context,
      ),
      precacheImage(
        const AssetImage('assets/images/home_hero.png'),
        context,
      ),
    ]);
  }

  Future<void> _preloadLocalConfig() async {
    await rootBundle.loadString('assets/config/app_config.json');
  }

  Future<void> _preloadStartupData() async {
    // Start your critical first API calls here.
    //
    // Example:
    // await userRepository.getCurrentUser();
    // await dashboardRepository.getDashboard();
  }
}

Usage:

dart
class StartupGate extends StatefulWidget {
  const StartupGate({super.key});

  @override
  State<StartupGate> createState() => _StartupGateState();
}

class _StartupGateState extends State<StartupGate> {
  Future<void>? _startupFuture;

  @override
  void didChangeDependencies() {
    super.didChangeDependencies();

    _startupFuture ??= const AppStartupPreloader().preload(context);
  }

  @override
  Widget build(BuildContext context) {
    return FutureBuilder<void>(
      future: _startupFuture,
      builder: (context, snapshot) {
        if (snapshot.connectionState != ConnectionState.done) {
          return const SplashScreen();
        }

        return const HomeScreen();
      },
    );
  }
}

27. Final rule of thumb

Pre-cache this:

  • What the user sees immediately.
  • What the user will almost certainly see next.
  • What would cause visible jank if it loads late.

Do not pre-cache this:

  • Everything.
  • Large files that may never be used.
  • Remote images far below the fold.
  • Decorative emoji/font assets that are not critical.

For Flutter Web specifically:

  • Use HTML preload for critical browser downloads.
  • Use Flutter precacheImage for Flutter image cache.
  • Bundle critical fonts.
  • Avoid emoji font fallback on first paint.
  • Delay decorative emojis.

References

Frequently asked questions

What does the Flutter Pre Caching AI skill do?

Use when preloading fonts, asset/network images, Lottie/Rive animations, local JSON/config, warming initial API data, or optimizing Flutter Web startup.

Why use Flutter Pre Caching on TypingMind?

Because you install it once and use it with any model. Flutter Pre Caching 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 Flutter Pre Caching in TypingMind?

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

Which AI models can use Flutter Pre Caching?

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 Flutter Pre Caching?

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

Is the Flutter Pre Caching 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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