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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 官方收录技能 质量 优秀 · 78 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=ai-dashboad-flutter-skill-skills-submission-flutter-skill-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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