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syncfusion-wpf-ai-assistview同步融合 WPF AI AssistView

Agent Skill

syncfusion-wpf-ai-assistview 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。

总安装

1,028

周安装

42

GitHub Stars

2

下载量

333
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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-wpf-ai-assistview(同步融合 WPF AI AssistView)
来源仓库:https://github.com/syncfusion/wpf-ui-components-skills
仓库路径:skills/syncfusion-wpf-ai-assistview
安装命令:
npx skills add https://github.com/syncfusion/wpf-ui-components-skills --skill syncfusion-wpf-ai-assistview
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/wpf-ui-components-skills --skill syncfusion-wpf-ai-assistview

简介

Syncfusion WPF AI AssistView 组件,集成人工智能辅助功能界面。

  • 适用于智能编程助手与代码建议展示场景。syncfusion-wpf-ai-assistview 属于前端设计类 Skill,可作为该场景下的辅助能力补充。
  • 通过 GitHub 仓库安装,遵循标准技能管理机制。
  • 安装时需注意是否包含模型推理或云端 API 调用。
  • 建议核对原始文档了解输入输出格式与安全沙箱限制。

SKILL.md

Implementing SfAIAssistView (WPF)

When to Use This Skill

Use this skill when:

  • Building AI chat or assistant UIs in WPF
  • Displaying message threads with user and AI responses
  • Integrating OpenAI or SemanticKernel with a chat interface
  • Showing typing indicators while AI processes a response
  • Adding suggestion chips after AI responses
  • Customizing input/response toolbars
  • Handling PromptRequest events or Stop Responding functionality
  • Rendering Markdown in AI responses via ViewTemplateSelector

NuGet Package: Syncfusion.SfChat.Wpf Namespace: Syncfusion.UI.Xaml.Chat Key Classes: SfAIAssistView, TextMessage, AIMessage, Author, TypingIndicator


Quick Start

<!-- MainWindow.xaml -->
<Window xmlns:syncfusion="clr-namespace:Syncfusion.UI.Xaml.Chat;assembly=Syncfusion.SfChat.WPF">
    <Grid>
        <Grid.DataContext>
            <local:ViewModel/>
        </Grid.DataContext>
        <syncfusion:SfAIAssistView
            Messages="{Binding Chats}"
            CurrentUser="{Binding CurrentUser}"
            Suggestions="{Binding Suggestions}"
            ShowTypingIndicator="{Binding ShowTypingIndicator}"
            TypingIndicator="{Binding TypingIndicator}" />
    </Grid>
</Window>
// ViewModel.cs
public class ViewModel : INotifyPropertyChanged
{
    public ObservableCollection<object> Chats { get; set; }
    public Author CurrentUser { get; set; }

    public ViewModel()
    {
        Chats = new ObservableCollection<object>();
        CurrentUser = new Author { Name = "User" };
        Chats.Add(new TextMessage
        {
            Author = CurrentUser,
            Text = "Hello, how can you help me?"
        });
        Chats.Add(new TextMessage
        {
            Author = new Author { Name = "AI" },
            Text = "I can answer questions and help with tasks."
        });
    }
}

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • NuGet installation and assembly references
  • XAML namespace and control declaration
  • ViewModel setup with ObservableCollection<object>
  • TextMessage + Author binding pattern
  • CurrentUser configuration
  • Theme integration

OpenAI Integration

📄 Read: references/openai-integration.md

  • Microsoft.SemanticKernel NuGet setup
  • IChatCompletionService + Kernel configuration
  • AIAssistChatService pattern for async responses
  • CollectionChanged trigger to invoke AI calls
  • AIMessage with ContentTemplate (AI icon)
  • ViewTemplateSelector for Markdown rendering via MdXaml
  • Coordinating ShowTypingIndicator with async operations

Suggestions & Typing Indicator

📄 Read: references/suggestions-and-typing-indicator.md

  • Suggestions property (IEnumerable<string>) binding
  • Updating suggestion chips after AI response
  • TypingIndicator object setup in ViewModel
  • ShowTypingIndicator property
  • Toggling indicator on/off with async AI calls

Input Toolbar

📄 Read: references/input-toolbar.md

  • IsInputToolbarVisible property
  • InputToolbarPosition (Left/Right)
  • InputToolbarItem (ItemTemplate, IsEnabled, Tooltip, Visible)
  • InputToolbarItemClicked event handling
  • InputToolbarHeaderTemplate for file-upload-style headers

Response Toolbar

📄 Read: references/response-toolbar.md

  • IsResponseToolbarVisible property
  • Built-in toolbar items: Copy, Regenerate, Like, Dislike
  • ResponseToolbarItem with Index, ItemType, ItemTemplate
  • ResponseToolbarItemClicked event handling
  • Custom item template examples

Events & Stop Responding

📄 Read: references/events-and-stop-responding.md

  • PromptRequest event + PromptRequestEventArgs
  • InputMessage and Handled property pattern
  • EnableStopResponding property
  • StopResponding event and StopRespondingCommand (MVVM)
  • StopRespondingTemplate customization

Key Properties

PropertyTypePurpose
MessagesObservableCollection<object>Chat message collection
CurrentUserAuthorIdentifies the local user
SuggestionsIEnumerable<string>Suggestion chips shown after AI response
ShowTypingIndicatorboolShows/hides typing animation
TypingIndicatorTypingIndicatorTyping indicator with Author
IsInputToolbarVisibleboolShows custom input toolbar (default: false)
IsResponseToolbarVisibleboolShows response toolbar (default: true)
EnableStopRespondingboolEnables Stop Responding button (default: false)
ViewTemplateSelectorDataTemplateSelectorCustom rendering per message type

Common Patterns

User sends message → AI responds

// Subscribe to CollectionChanged on Chats
Chats.CollectionChanged += async (s, e) =>
{
    if (e.Action == NotifyCollectionChangedAction.Add
        && e.NewItems[0] is TextMessage msg
        && msg.Author.Name == CurrentUser.Name)
    {
        ShowTypingIndicator = true;
        var reply = await aiService.GetResponseAsync(msg.Text);
        Chats.Add(new AIMessage { Author = aiAuthor, Text = reply });
        ShowTypingIndicator = false;
    }
};

Adding suggestions after AI response

Suggestions = new List<string> { "Tell me more", "Give an example", "Summarize" };

Handling PromptRequest event

<syncfusion:SfAIAssistView PromptRequest="OnPromptRequest" />
private void OnPromptRequest(object sender, PromptRequestEventArgs e)
{
    // e.InputMessage contains the user's text
    e.Handled = true; // Prevent default processing
}

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.49%
按下载量换算118

Claude

27.65%
按下载量换算92

Cursor

18.91%
按下载量换算63

Gemini CLI

8.72%
按下载量换算29

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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