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flutter-skill

Automate and test Flutter applications — launch apps, inspect widgets, tap elements, enter text, scroll, swipe, take screenshots, validate state, and debug via Dart VM Service Protocol. Use when the user wants to run Flutter app tests, automate Flutter UI interactions, inspect widget trees, debug a running Flutter app, or perform gesture-based testing.

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=ai-dashboad-flutter-skill-skills-submission-flutter-skill-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name flutter-skill description Automate and test Flutter applications — launch apps, inspect widgets, tap elements, enter text, scroll, swipe, take screenshots, validate state, and debug via Dart VM Service Protocol. Use when the user wants to run Flutter app tests, automate Flutter UI interactions, inspect widget trees, debug a running Flutter app, or perform gesture-based testing. Flutter Skill Control running Flutter applications for testing, debugging, and automation. Connects AI agents to Flutter apps via the Dart VM Service Protocol, exposing tools for UI inspection, gestures, state validation, screenshots, and log access. Installation Option 1: npx (Recommended) { "mcpServers" : { "flutter-skill" : { "command" : "npx" , "args" : [ "flutter-skill" ] } } } Option 2: Global Install dart pub global activate flutter_skill { "mcpServers" : { "flutter-skill" : { "command" : "flutter_skill" , "args" : [ "server" ] } } } Key Tools Category Tools Purpose Connection launch_app , connect_app Start or attach to a Flutter app Inspection inspect , get_widget_tree , find_by_type Discover UI elements and widget structure Interaction tap , enter_text , swipe , scroll_to , long_press , drag Perform gestures and input Validation wait_for_element , wait_for_gone , get_text_value , get_checkbox_state Assert UI state Screenshots screenshot , screenshot_element Capture visual state Navigation go_back , get_current_route , get_navigation_stack Control and inspect navigation Debug get_logs , get_errors , hot_reload , get_performance Diagnose issues Workflow Core Testing Loop launch_app(project_path: "/path/to/app") → screenshot() → inspect() → tap(key: "element_key") / enter_text(key: "field_key", text: "value") → screenshot() → verify with wait_for_element / get_text_value Example: Login Flow launch_app(project_path: "/path/to/app") screenshot() inspect() enter_text(key: "email_field", text: "user@example.com") enter_text(key: "password_field", text: "password123") tap(key: "login_button") wait_for_element(key: "home_screen", timeout: 5000) screenshot() If wait_for_element times out: Call screenshot() to see the current state, then get_errors() to check for crashes or failed network requests. Example: Debug a Running App connect_app(uri: "ws://127.0.0.1:50000/ws") get_errors() get_logs() screenshot() inspect() Validation Checkpoints After launch_app() : Verify a VM Service URI was returned. If not, check that Flutter is installed and the app compiles. After inspect() : Confirm interactive elements are returned. If empty, the app may still be loading — call screenshot() and retry. After gestures ( tap , enter_text , swipe ): Call screenshot() to confirm the UI updated as expected. After navigation : Use wait_for_element(key: "target") with a timeout. On timeout, call get_errors() to diagnose. Element Targeting Priority key: (most reliable) — widget key set by the developer via ValueKey text: — visible text content (breaks if text changes) type: — widget type via find_by_type (may match multiple elements) For reliable targeting, apps should use ValueKey on interactive elements: ElevatedButton( key: const ValueKey('submit_button'), onPressed: _submit, child: const Text('Submit'), ) Links GitHub Repository pub.dev Package npm Package
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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