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MiniMax-AI
flutter-dev

Flutter cross-platform development guide covering widget patterns, Riverpod/Bloc state management, GoRouter navigation, performance optimization, and platform-specific implementations. Includes const optimization, responsive layouts, testing strategies, and DevTools profiling. Use when: building Flutter apps, implementing state management (Riverpod/Bloc), setting up GoRouter navigation, creating custom widgets, optimizing performance, writing widget tests, cross-platform development.

Overview

PublisherMiniMax-AI
Repositoryskills
Skill nameflutter-dev
Stars
13.6K
Forks
1.2K
Bundled files
12
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.

  • 12 bundled files

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

  • Open source

    Published by MiniMax-AI on GitHub. Read the source before you install it.

Installation

Install the Flutter Dev 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.
  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/MiniMax-AI/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/flutter-dev .claude/skills/flutter-dev
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flutter Dev 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 Dev 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 Dev 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.

Flutter Development Guide

A practical guide for building cross-platform applications with Flutter 3 and Dart. Focuses on proven patterns, state management, and performance optimization.

Quick Reference

Widget Patterns

PurposeComponent
State management (simple)StateProvider + ConsumerWidget
State management (complex)NotifierProvider / Bloc
Async dataFutureProvider / AsyncNotifierProvider
Real-time streamsStreamProvider
NavigationGoRouter + context.go/push
Responsive layoutLayoutBuilder + breakpoints
List displayListView.builder
Complex scrollingCustomScrollView + Slivers
HooksHookWidget + useState/useEffect
FormsForm + TextFormField + validation

Performance Patterns

PurposeSolution
Prevent rebuildsconst constructors
Selective updatesref.watch(provider.select(...))
Isolate repaintsRepaintBoundary
Lazy listsListView.builder
Heavy computationcompute() isolate
Image cachingcached_network_image

Core Principles

Widget Optimization

  • Use const constructors wherever possible
  • Extract static widgets to separate const classes
  • Use Key for list items (ValueKey, ObjectKey)
  • Prefer ConsumerWidget over StatefulWidget for state

State Management

  • Riverpod for dependency injection and simple state
  • Bloc/Cubit for event-driven workflows and complex logic
  • Never mutate state directly (create new instances)
  • Use select() to minimize rebuilds

Layout

  • 8pt spacing increments (8, 16, 24, 32, 48)
  • Responsive breakpoints: mobile (<650), tablet (650-1100), desktop (>1100)
  • Support all screen sizes with flexible layouts
  • Follow Material 3 / Cupertino design guidelines

Performance

  • Profile with DevTools before optimizing
  • Target <16ms frame time for 60fps
  • Use RepaintBoundary for complex animations
  • Offload heavy work with compute()

Checklist

Widget Best Practices

  • const constructors on all static widgets
  • Proper Key on list items
  • ConsumerWidget for state-dependent widgets
  • No widget building inside build() method
  • Extract reusable widgets to separate files

State Management

  • Immutable state objects
  • select() for granular rebuilds
  • Proper provider scoping
  • Dispose controllers and subscriptions
  • Handle loading/error states

Navigation

  • GoRouter with typed routes
  • Auth guards via redirect
  • Deep linking support
  • State preservation across routes

Performance

  • Profile mode testing (flutter run --profile)
  • <16ms frame rendering time
  • No unnecessary rebuilds (DevTools check)
  • Images cached and resized
  • Heavy computation in isolates

Testing

  • Widget tests for UI components
  • Unit tests for business logic
  • Integration tests for user flows
  • Bloc tests with blocTest()

References

TopicReference
Widget patterns, const optimization, responsive layoutWidget Patterns
Riverpod providers, notifiers, async stateRiverpod State Management
Bloc, Cubit, event-driven stateBloc State Management
GoRouter setup, routes, deep linkingGoRouter Navigation
Feature-based structure, dependenciesProject Structure
Profiling, const optimization, DevToolsPerformance Optimization
Widget tests, integration tests, mockingTesting Strategies
iOS/Android/Web specific implementationsPlatform Integration
Implicit/explicit animations, Hero, transitionsAnimations
Dio, interceptors, error handling, cachingNetworking
Form validation, FormField, input formattersForms
i18n, flutter_localizations, intlLocalization

Flutter, Dart, Material Design, and Cupertino are trademarks of Google LLC and Apple Inc. respectively. Riverpod, Bloc, and GoRouter are open-source packages by their respective maintainers.

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 Flutter Dev AI skill do?

Flutter cross-platform development guide covering widget patterns, Riverpod/Bloc state management, GoRouter navigation, performance optimization, and platform-specific implementations. Includes const optimization, responsive layouts, testing strategies, and DevTools profiling. Use when: building Flutter apps, implementing state management (Riverpod/Bloc), setting up GoRouter navigation, creating custom widgets, optimizing performance, writing widget tests, cross-platform development.

Why use Flutter Dev on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MiniMax-AI/skills/tree/main/skills/flutter-dev. 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 Flutter Dev?

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 Dev?

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

Is the Flutter Dev AI skill free?

Yes. It is published on GitHub by MiniMax-AI 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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