Test Flutter

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K9i-0

test-flutter

Flutter App のテスト実行・静的解析・フォーマット・テスト記述ガイド

Overview

Publisher	K9i-0
Repository	`ccpocket`
Skill name	`test-flutter`
Stars	1.1K
Forks	115
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 K9i-0 on GitHub. Read the source before you install it.

Installation

Install the Test Flutter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/K9i-0/ccpocket/tree/main/.claude/skills/test-flutter
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.

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/K9i-0/ccpocket.git /tmp/ccpocket
mkdir -p .claude/skills
cp -r /tmp/ccpocket/.claude/skills/test-flutter .claude/skills/test-flutter

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Flutter 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 Test Flutter 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 Test Flutter 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 App テスト

実行手順

変更した挙動に対応するテストと静的検証を選ぶ。全体テストは、共通基盤・依存関係への変更や回帰懸念がある場合、または全体検証を依頼された場合に実行する。成功済みの検証を理由なく繰り返さない。以下はコマンドの選択肢。

1. 静的解析

bash
dart analyze apps/mobile

今回の変更で生じた warning 以上は修正する。既存の無関係な問題は報告し、info は必要に応じて対応する。

MCP代替: mcp__dart-mcp__analyze_files でも実行可能だが、CLI推奨。

2. フォーマット

bash
dart format <変更したDartファイル>

3. ユニットテスト

bash
cd apps/mobile && flutter test

特定ファイルのみ:

bash
cd apps/mobile && flutter test test/<filename>_test.dart

MCP代替: mcp__dart-mcp__run_tests でも実行可能だが、CLI推奨。 MCP版はDTD接続不要な操作のため、CLIの方が効率的。

テスト記述規約

ファイル配置・命名

テストファイルは apps/mobile/test/ に配置
命名: <対象の概念>_test.dart
- ウィジェットテスト例: approval_bar_test.dart, chat_input_bar_test.dart
- ロジックテスト例: chat_message_handler_test.dart

import

dart
import 'package:flutter_test/flutter_test.dart';
import 'package:ccpocket/...';

テスト構造

dart
void main() {
  group('対象クラスまたは機能', () {
    test('動作の説明', () {
      // ロジックテスト
      expect(actual, expected);
    });

    testWidgets('UI動作の説明', (tester) async {
      // ウィジェットテスト
      await tester.pumpWidget(MaterialApp(home: TargetWidget()));
      expect(find.text('expected'), findsOneWidget);
    });
  });
}

group で対象機能ごとにグルーピング
ロジックテストは test()、UI テストは testWidgets() を使い分ける
setUp() でテスト前の共通初期化を行う

テスト対象の方針

ウィジェットテスト: 画面の表示・インタラクション検証
- pumpWidget でウィジェット構築 → find で要素確認 → tap/enterText で操作
ロジックテスト: サービス・ハンドラーの振る舞い検証
- 純粋なDartクラスのメソッド呼び出しと結果確認
WebSocket通信やBridge接続のモックが必要なテストは避ける (E2E領域)

Frequently asked questions

What does the Test Flutter AI skill do?

Flutter App のテスト実行・静的解析・フォーマット・テスト記述ガイド

Why use Test Flutter on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/K9i-0/ccpocket/tree/main/.claude/skills/test-flutter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Test Flutter?

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 Test Flutter?

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

Is the Test Flutter AI skill free?

Yes. It is published on GitHub by K9i-0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Flutter App テスト

実行手順

1. 静的解析

2. フォーマット

3. ユニットテスト

テスト記述規約

ファイル配置・命名

import

テスト構造

テスト対象の方針

Frequently asked questions

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