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Agent Skill · 前端设计

syncfusion-flutter-chat(syncfusion Flutter 聊天)

syncfusion-flutter-chat 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

syncfusion-flutter-chat 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 5,673。

总安装 624周安装 26GitHub Stars 1下载 208核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:syncfusion-flutter-chat(syncfusion Flutter 聊天)
来源仓库:https://github.com/syncfusion/flutter-ui-components-skills
仓库路径:skills/syncfusion-flutter-chat
安装命令:
npx skills add https://github.com/syncfusion/flutter-ui-components-skills --skill syncfusion-flutter-chat
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/syncfusion/flutter-ui-components-skills --skill syncfusion-flutter-chat

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装使用。

安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。syncfusion-flutter-chat 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/syncfusion-flutter-chat

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/syncfusion/flutter-ui-components-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

syncfusion-flutter-chat 怎么安装?

在终端执行 npx skills add https://github.com/syncfusion/flutter-ui-components-skills --skill syncfusi…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

syncfusion-flutter-chat 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

syncfusion-flutter-chat 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

syncfusion-flutter-chat 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

syncfusion-flutter-chat 用的人多吗?

公开数据是累计安装 624 次,近一周安装 26 次,下载 208 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

syncfusion-flutter-chat 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
syncfusion-flutter-chat

syncfusion Flutter 聊天 · 本页

6241调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Syncfusion Flutter Chat & AI AssistView

This skill covers two related Syncfusion Flutter components for conversational UI: SfChat (Chat widget) and SfAIAssistView (AI AssistView widget). While they share many visual and configuration features, they serve different primary purposes.

When to Use This Skill

Use this skill when you need to:

  • Implement chat interfaces with multi-user conversations and messaging
  • Add AI assistant functionality with request-response patterns
  • Build messaging apps with incoming/outgoing message support
  • Create AI chatbot interfaces with AI service integration
  • Display conversation UI with messages, avatars, and timestamps
  • Handle message composition with text editors and action buttons
  • Customize message appearance with builders, themes, and styling
  • Support placeholder screens for empty conversation states
  • Enable suggestion chips for quick responses or actions
  • Integrate toolbar actions for response messages (like, copy, retry)
  • Show loading indicators for AI response generation
  • Implement RTL support for right-to-left languages

Choosing the Right Component

Use SfChat (Chat Widget) when:

  • You need multi-user conversation interfaces
  • Your app requires incoming and outgoing messages differentiation
  • You need traditional messaging app functionality (WhatsApp, Telegram style)
  • Building chat for: team collaboration, customer support, social messaging, group chats
  • Message suggestions should appear on both incoming/outgoing messages
  • You need to identify the outgoing user explicitly

Use SfAIAssistView (AI AssistView Widget) when:

  • You need AI assistant or chatbot functionality
  • Your primary goal is request-response patterns with AI services
  • You need toolbar items on response messages (like, dislike, copy, retry)
  • You need loading indicators while AI generates responses
  • Building UI for: AI assistants, chatbots, help bots, Q&A interfaces
  • Message suggestions should only appear on AI response messages
  • You need clear request vs response message distinction

Key Differences Summary:

FeatureSfChatSfAIAssistView
Primary PurposeMulti-user messagingAI assistant interaction
Message TypesIncoming/OutgoingRequest/Response
User IdentificationoutgoingUser propertyAuthor in each message
SuggestionsOn any messageOnly on response messages
Toolbar Items❌ Not supported✅ Response toolbar support
Loading Indicator❌ Not included✅ Response loading builder
Use CaseChat apps, messagingAI chatbots, assistants
Message ClassesChatMessageAssistMessage
Composer ClassesChatComposerAssistComposer
Action Button ClassesChatActionButtonAssistActionButton

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • Installation and package setup for both components
  • Basic SfChat implementation
  • Basic SfAIAssistView implementation
  • Package dependencies and imports
  • Quick comparison and first examples

Component Overview

📄 For Chat: references/chat-overview.md

  • SfChat widget overview and features
  • When to use Chat vs AI AssistView
  • Multi-user conversation capabilities
  • Incoming/outgoing message patterns
  • Chat-specific capabilities
  • Basic chat configuration

📄 For AI AssistView: references/aiassistview-overview.md

  • SfAIAssistView widget overview and features
  • When to use AI AssistView vs Chat
  • Request/response patterns
  • AI integration capabilities
  • AIAssistView-specific capabilities
  • Basic AIAssistView configuration

Conversation Area and Messages

📄 Read: references/conversation-area.md

  • Message structure and display
  • Incoming/outgoing messages (Chat)
  • Request/response messages (AIAssistView)
  • Message settings and customization
  • Headers and timestamps
  • Footers and additional info
  • Message avatars
  • Content area styling
  • Message suggestions (both components)
  • Toolbar items (AIAssistView only)
  • Loading indicators (AIAssistView only)

Composer and Input

📄 Read: references/composer.md

  • Default composer configuration
  • Text editor customization
  • Minimum and maximum lines
  • Decoration and styling
  • Hint text and placeholders
  • Borders and padding
  • Prefix and suffix icons
  • Text style customization
  • Margin configuration
  • Custom composer builder

Action Button

📄 Read: references/action-button.md

  • Action button overview
  • Send button functionality
  • Custom child widgets
  • onPressed callback
  • Tooltip text
  • Colors (foreground, background, focus, hover, splash)
  • Elevation settings
  • Mouse cursor customization
  • Shape and border radius
  • Margin and size

Placeholder

📄 Read: references/placeholder.md

  • Placeholder builder overview
  • Custom placeholder widgets
  • Empty conversation state design
  • Welcome messages
  • Getting started hints
  • Examples for both components

Theming and Customization

📄 Read: references/theming.md

  • Theme overview (Chat vs AIAssistView)
  • SfChatTheme and SfAIAssistViewTheme
  • Action button theming
  • Avatar colors and styling
  • Message background colors
  • Content text styles
  • Header text styles
  • Suggestion styling
  • Message shapes and borders
  • Toolbar theming (AIAssistView only)

Localization and Accessibility

📄 Read: references/right-to-left.md

  • Right-to-left (RTL) support
  • Directionality widget usage
  • RTL rendering for all elements
  • RTL for placeholder
  • RTL for composer
  • RTL for action button
  • RTL for messages and content

Common Patterns

📄 Read: references/common-patterns.md

  • Message settings customization
  • Custom composer with multiple actions
  • Custom placeholder for empty state
  • Loading indicator for AI responses
  • Theming for consistent brand experience

Quick Start Examples

Basic Chat with Messages

import 'package:flutter/material.dart';
import 'package:syncfusion_flutter_chat/chat.dart';

class MyChat extends StatefulWidget {
  @override
  State<MyChat> createState() => _MyChatState();
}

class _MyChatState extends State<MyChat> {
  List<ChatMessage> _messages = <ChatMessage>[];

  @override
  void initState() {
    super.initState();
    _messages = <ChatMessage>[
      ChatMessage(
        text: 'Hi! How can I help you today?',
        time: DateTime.now(),
        author: const ChatAuthor(
          id: '123-001',
          name: 'John Doe',
        ),
      ),
      ChatMessage(
        text: 'I need help with my order.',
        time: DateTime.now(),
        author: const ChatAuthor(
          id: '123-002',
          name: 'Jane Smith',
        ),
      ),
    ];
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(title: Text('Chat')),
      body: SfChat(
        messages: _messages,
        outgoingUser: '123-002',
        composer: const ChatComposer(
          decoration: InputDecoration(
            hintText: 'Type a message',
          ),
        ),
        actionButton: ChatActionButton(
          onPressed: (String newMessage) {
            setState(() {
              _messages.add(
                ChatMessage(
                  text: newMessage,
                  time: DateTime.now(),
                  author: const ChatAuthor(
                    id: '123-002',
                    name: 'Jane Smith',
                  ),
                ),
              );
            });
          },
        ),
      ),
    );
  }
}

Basic AI AssistView with AI Integration

import 'package:flutter/material.dart';
import 'package:syncfusion_flutter_chat/assist_view.dart';

class MyAIAssistView extends StatefulWidget {
  @override
  State<MyAIAssistView> createState() => _MyAIAssistViewState();
}

class _MyAIAssistViewState extends State<MyAIAssistView> {
  List<AssistMessage> _messages = <AssistMessage>[];

  void _generateAIResponse(String userRequest) async {
    // Call your AI service here
    final String aiResponse = await _getAIResponse(userRequest);
    setState(() {
      _messages.add(
        AssistMessage.response(
          data: aiResponse,
          time: DateTime.now(),
          author: const AssistMessageAuthor(
            id: 'ai-001',
            name: 'AI Assistant',
          ),
        ),
      );
    });
  }

  Future<String> _getAIResponse(String request) async {
    // Connect with your preferred AI service
    // Example: OpenAI, Google AI, Azure AI, etc.
    await Future.delayed(Duration(seconds: 2)); // Simulate API call
    return 'This is a response to: $request';
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(title: Text('AI Assistant')),
      body: SfAIAssistView(
        messages: _messages,
        composer: const AssistComposer(
          decoration: InputDecoration(
            hintText: 'Ask me anything',
          ),
        ),
        actionButton: AssistActionButton(
          onPressed: (String userRequest) {
            setState(() {
              _messages.add(
                AssistMessage.request(
                  data: userRequest,
                  time: DateTime.now(),
                  author: const AssistMessageAuthor(
                    id: 'user-001',
                    name: 'User',
                  ),
                ),
              );
              _generateAIResponse(userRequest);
            });
          },
        ),
        placeholderBuilder: (BuildContext context) {
          return const Center(
            child: Text(
              'What can I help you with today?',
              style: TextStyle(fontSize: 16),
            ),
          );
        },
      ),
    );
  }
}

Chat with Suggestions

SfChat(
  messages: <ChatMessage>[
    ChatMessage(
      text: 'Which programming language should I learn?',
      time: DateTime.now(),
      author: const ChatAuthor(id: '1', name: 'Alice'),
    ),
    ChatMessage(
      text: 'It depends on your goals. What interests you?',
      time: DateTime.now(),
      author: const ChatAuthor(id: '2', name: 'Bob'),
      suggestions: <ChatMessageSuggestion>[
        const ChatMessageSuggestion(data: 'Web Development'),
        const ChatMessageSuggestion(data: 'Mobile Apps'),
        const ChatMessageSuggestion(data: 'Data Science'),
        const ChatMessageSuggestion(data: 'Game Development'),
      ],
    ),
  ],
  outgoingUser: '1',
)

AI AssistView with Toolbar Items

void _generateResponse(String request) async {
  final String response = await _getAIResponse(request);
  setState(() {
    _messages.add(
      AssistMessage.response(
        data: response,
        time: DateTime.now(),
        author: const AssistMessageAuthor(id: 'ai', name: 'AI'),
        toolbarItems: <AssistMessageToolbarItem>[
          const AssistMessageToolbarItem(
            content: Icon(Icons.thumb_up_outlined),
            tooltip: 'Like',
          ),
          const AssistMessageToolbarItem(
            content: Icon(Icons.thumb_down_outlined),
            tooltip: 'Dislike',
          ),
          const AssistMessageToolbarItem(
            content: Icon(Icons.copy),
            tooltip: 'Copy',
          ),
          const AssistMessageToolbarItem(
            content: Icon(Icons.restart_alt),
            tooltip: 'Regenerate',
          ),
        ],
      ),
    );
  });
}

SfAIAssistView(
  messages: _messages,
  onToolbarItemSelected: (bool selected, int messageIndex,
      AssistMessageToolbarItem item, int toolbarItemIndex) {
    // Handle toolbar action (like, dislike, copy, etc.)
    print('Toolbar item selected at index $toolbarItemIndex');
  },
)

Key Properties

SfChat Essential Properties

  • messages - List of ChatMessage objects to display
  • outgoingUser - ID of the user sending messages (distinguishes incoming/outgoing)
  • composer - ChatComposer for text input
  • actionButton - ChatActionButton for sending messages
  • placeholderBuilder - Custom widget for empty state
  • incomingMessageSettings - Settings for incoming messages
  • outgoingMessageSettings - Settings for outgoing messages
  • messageHeaderBuilder - Custom header for each message
  • messageFooterBuilder - Custom footer for each message
  • messageContentBuilder - Custom content for each message
  • messageAvatarBuilder - Custom avatar for each message

SfAIAssistView Essential Properties

  • messages - List of AssistMessage objects (request/response)
  • composer - AssistComposer for text input
  • actionButton - AssistActionButton for sending requests
  • placeholderBuilder - Custom widget for empty state
  • requestMessageSettings - Settings for request messages
  • responseMessageSettings - Settings for response messages
  • messageHeaderBuilder - Custom header for each message
  • messageFooterBuilder - Custom footer for each message
  • messageContentBuilder - Custom content for each message
  • messageAvatarBuilder - Custom avatar for each message
  • responseLoadingBuilder - Custom loading indicator while AI responds
  • onToolbarItemSelected - Callback when toolbar item is tapped
  • onSuggestionItemSelected - Callback when suggestion chip is tapped

ChatMessage / AssistMessage Properties

ChatMessage:

  • text - Message content
  • time - Timestamp of the message
  • author - ChatAuthor with id, name, and avatar
  • suggestions - List of ChatMessageSuggestion items

AssistMessage:

  • data - Message content
  • time - Timestamp of the message
  • author - AssistMessageAuthor with id, name, and avatar
  • suggestions - List of AssistMessageSuggestion items (response only)
  • toolbarItems - List of AssistMessageToolbarItem (response only)

Composer Properties (Both Components)

  • minLines - Minimum lines in text editor (default: 1)
  • maxLines - Maximum lines in text editor (default: 6)
  • decoration - InputDecoration for styling
  • margin - Space around the composer
  • textStyle - Text style for input
  • builder - Custom composer widget

Action Button Properties (Both Components)

  • child - Custom widget for button
  • onPressed - Callback when button is pressed
  • tooltip - Tooltip text
  • foregroundColor - Icon/text color
  • backgroundColor - Button background color
  • focusColor - Color when focused
  • hoverColor - Color when hovered
  • splashColor - Ripple effect color
  • elevation - Shadow elevation
  • focusElevation - Elevation when focused
  • hoverElevation - Elevation when hovered
  • highlightElevation - Elevation when pressed
  • mouseCursor - Cursor style on hover
  • shape - Button shape and border
  • margin - Space around button
  • size - Button dimensions

Message Settings Properties (Both Components)

  • showAuthorName - Show/hide author name
  • showTimestamp - Show/hide timestamp
  • showAuthorAvatar - Show/hide avatar
  • timestampFormat - DateFormat for timestamp
  • backgroundColor - Message background color
  • textStyle - Message text style
  • headerTextStyle - Header text style
  • shape - Message bubble shape
  • widthFactor - Message width relative to screen (0-1)
  • avatarSize - Avatar dimensions
  • margin - Space around message
  • padding - Padding inside message
  • avatarPadding - Padding around avatar
  • headerPadding - Padding around header
  • footerPadding - Padding around footer

Common Use Cases

For SfChat: Customer support chat, team messaging, social messaging, live chat support with multi-user conversations and incoming/outgoing message patterns.

For SfAIAssistView: AI chatbots, AI assistants, help bots, Q&A interfaces with request/response patterns, toolbar items, and loading indicators.

平台分布

Codex

34%
按下载量换算71

Claude

29.75%
按下载量换算62

Cursor

18.68%
按下载量换算39

Gemini CLI

9%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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