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syncfusion-react-ai-assistviewsyncfusion React AI assistview 前端

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

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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-react-ai-assistview(syncfusion React AI assistview 前端)
来源仓库:https://github.com/syncfusion/react-ui-components-skills
仓库路径:skills/syncfusion-react-ai-assistview
安装命令:
npx skills add https://github.com/syncfusion/react-ui-components-skills --skill syncfusion-react-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/react-ui-components-skills --skill syncfusion-react-ai-assistview

简介

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。

  • 适合生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构。
  • 使用时需结合项目现有设计系统、路由和构建方式,避免生成孤立片段。
  • 涉及页面改动时应配合本地预览和构建检查确认视觉效果。
  • syncfusion-react-ai-assistview 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Syncfusion React AI AssistView Component

Component Overview

The Syncfusion React AI AssistView component is a comprehensive interactive chat component designed for building AI-powered conversational interfaces. It provides:

Core Capabilities

  • Prompt-Response Management: Manage conversation history with automatic data collection
  • Real-time Streaming: Stream AI responses character-by-character for live typing effects
  • Template System: Customize every UI element (banners, prompt items, responses, suggestions, footer)
  • Multi-View Support: Switch between conversation assist view and custom content views
  • Voice Integration: Built-in Speech-to-Text (voice input) and Text-to-Speech (voice output)
  • File Attachments: Upload and include files with prompts
  • Advanced Toolbars: Configurable toolbars for header, footer, responses, and prompts
  • AI Service Integration: Direct integration with OpenAI, Azure OpenAI, and other AI services
  • Event-Driven Architecture: Hooks for prompt submission, changes, and component lifecycle

Key Features

  • Markdown Support: Render AI responses as formatted HTML via markdown parsing
  • Conversation History: Automatic tracking of all prompts and responses
  • Suggestion System: Display helpful prompt suggestions to guide users
  • Avatar Customization: Customize user and AI icons/avatars
  • Scroll Management: Auto-scroll or manual scroll-to-bottom button
  • Clear Functionality: Clear current prompt or entire conversation
  • Responsive Design: Works on desktop and mobile with responsive layouts

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • Install @syncfusion/ej2-react-interactive-chat package
  • Add CSS theme imports
  • Create basic component initialization
  • Render component to DOM
  • First working functional component example

Configuration Essentials

📄 Read: references/configuration-essentials.md

  • Set initial prompt text and placeholders
  • Configure prompt suggestions and suggestion headers
  • Customize user and AI avatar icons
  • Control clear button visibility
  • Enable/disable scroll-to-bottom functionality
  • Manage component instance via refs
  • Set component dimensions (height and width)
  • Apply custom CSS classes for styling
  • Control header visibility
  • Configure globalization (locale, RTL support)
  • Enable state persistence across sessions

Conversation Management

📄 Read: references/conversation-management.md

  • Initialize with pre-configured conversation data
  • Add responses (string or object format)
  • Access and manage conversation history
  • Work with PromptModel data structure
  • Render markdown in responses
  • Persist and restore conversations

Events and Interactions

📄 Read: references/events-and-interactions.md

  • Handle component lifecycle (created event)
  • Respond to prompt submissions (promptRequest event)
  • Track prompt text changes (promptChanged event)
  • Access detailed event arguments (PromptChangedEventArgs, PromptRequestEventArgs)
  • Cancel prompt submissions programmatically
  • Handle stop responding events for long operations
  • Modify suggestions and toolbar items dynamically
  • Implement event-driven workflows
  • Integrate with AI services via event handlers

Toolbar Customization

📄 Read: references/toolbar-customization.md

  • Configure four toolbar types (header, footer, response, prompt)
  • Add custom toolbar items
  • Control toolbar positioning (Inline vs Bottom)
  • Customize toolbar icons
  • Handle item click events
  • Configure all ToolbarItemModel properties (align, cssClass, disabled, tabIndex, template, type, visible)
  • Create custom toolbar item templates
  • Control item visibility and enabled state dynamically
  • Set tab order for keyboard navigation
  • Manage attachment button behavior

File Attachments

📄 Read: references/file-attachments.md

  • Enable file attachment support
  • Configure upload endpoints (saveUrl, removeUrl)
  • Restrict file types (allowedFileType)
  • Set file size limits (maxFileSize)
  • Limit number of attachments (maximumCount)
  • Access attached files via attachedFiles array (FileInfo interface)
  • Handle attachment lifecycle events (beforeAttachmentUpload, attachmentUploadSuccess, attachmentUploadFailure, attachmentRemoved)
  • Validate files before upload
  • Initialize prompts with pre-attached files
  • Handle server-side file processing

Custom Views

📄 Read: references/custom-views.md

  • Create multiple views (Assist and Custom types)
  • Set view names and icons
  • Define view-specific templates
  • Configure activeView property to set initial view
  • Switch between views programmatically
  • Persist active view across sessions
  • Conditionally set initial view based on user role or state
  • Display side-by-side content panels
  • Use cases for multi-view layouts

Templating System

📄 Read: references/templating-system.md

  • Customize banner templates (welcome content)
  • Create prompt item templates (user message display)
  • Design response item templates (AI response display)
  • Build suggestion item templates
  • Create custom footer templates
  • Access template context data

AI Service Integration

📄 Read: references/ai-integration-setup.md

  • Integrate with Azure OpenAI, OpenAI, Gemini, Claude
  • Configure API credentials and authentication
  • Handle real-time prompt processing
  • Stream responses for live typing effects
  • Parse markdown responses with marked library
  • Error handling and rate limiting
  • Security considerations for API keys

Speech Capabilities

📄 Read: references/speech-capabilities.md

  • Enable Speech-to-Text (voice input)
  • Configure speech recognition language
  • Handle interim transcripts while speaking
  • Implement Text-to-Speech (voice output)
  • Customize button labels and icons
  • Handle speech events (start, stop, transcript, error)
  • Browser compatibility notes

Methods and APIs

📄 Read: references/methods-and-apis.md

  • Use addPromptResponse() method
  • Execute prompts dynamically with executePrompt()
  • Scroll to bottom programmatically
  • Access component instance via refs
  • Manage component state
  • Common patterns and gotchas

Quick Start Example

import { AIAssistViewComponent, PromptRequestEventArgs } from '@syncfusion/ej2-react-interactive-chat';
import * as React from 'react';
import * as ReactDOM from "react-dom";

function App() {
    const assistInstance = React.useRef<AIAssistViewComponent>(null);

    const onPromptRequest = (args: PromptRequestEventArgs) => {
        setTimeout(() => {
            let defaultResponse = 'For real-time AI processing, connect to your preferred service (OpenAI, Azure OpenAI, etc.).';
            assistInstance.current.addPromptResponse(defaultResponse);
        }, 1000);
    };

    return (
        <AIAssistViewComponent
            id="aiAssistView"
            ref={assistInstance}
            promptRequest={onPromptRequest}
            prompt={'Welcome! How can I help?'}
            promptSuggestions={['Ask about features', 'Get started guide']}
        />
    );
}

ReactDOM.render(<App />, document.getElementById('container'));

Common Patterns

Pattern 1: Basic Chat with Suggestions

Create a simple conversational interface with predefined suggestions:

  • Enable prompt suggestions to guide user interactions
  • Handle promptRequest event with simple responses
  • Display conversation history automatically

Pattern 2: AI Service Integration

Connect to real AI services for intelligent responses:

  • Use promptRequest event to capture user input
  • Call AI API with prompt text
  • Stream response character-by-character for live effect
  • Parse markdown responses for formatted output

Pattern 3: Multi-View Dashboard

Combine chat with supporting content:

  • Create Assist view for conversation
  • Add Custom view for settings/sidebar
  • Switch activeView based on user interaction
  • Share data between views

Pattern 4: Voice-Enabled Chat

Enable hands-free interaction with speech:

  • Enable speechToTextSettings to capture voice
  • Configure Text-to-Speech for response audio
  • Use toolbar for voice control buttons
  • Handle speech events for status feedback

Pattern 5: File-Attached Prompts

Support file uploads with prompts:

  • Enable attachments with enableAttachments property
  • Configure attachment endpoints and file restrictions
  • Include file data in prompt context
  • Send files to backend API

Key Props & Configuration

Essential Props

  • promptRequest: Event handler when user submits prompt
  • prompt: Initial/default text in prompt input
  • promptPlaceholder: Placeholder text for input area
  • promptSuggestions: Array of suggested prompts
  • prompts: Pre-configured conversation data

Customization Props

  • promptIconCss: CSS class for user avatar
  • responseIconCss: CSS class for AI avatar
  • showClearButton: Show/hide clear button (default: false)
  • showHeader: Show/hide component header (default: true)
  • enableScrollToBottom: Show scroll-to-bottom button (default: true)
  • height: Component height (string | number, default: '100%')
  • width: Component width (string | number, default: '100%')
  • cssClass: Custom CSS classes for styling
  • activeView: Currently displayed view index (number, default: 0)

Template Props

  • bannerTemplate: Welcome banner content
  • promptItemTemplate: User message display
  • responseItemTemplate: AI response display
  • promptSuggestionItemTemplate: Suggestion styling
  • footerTemplate: Custom prompt input area

Advanced Props

  • enableAttachments: Enable file uploads (default: false)
  • attachmentSettings: File upload configuration
  • speechToTextSettings: Voice input configuration
  • toolbarSettings: Header toolbar configuration
  • footerToolbarSettings: Footer toolbar configuration
  • responseToolbarSettings: Response action toolbar
  • promptToolbarSettings: Prompt toolbar configuration
  • locale: Localization/globalization setting (default: 'en-US')
  • enableRtl: Enable right-to-left rendering (default: false)
  • enablePersistence: Enable state persistence (default: false)

Event Props

  • created: Component lifecycle event
  • promptRequest: Prompt submission event
  • promptChanged: Prompt text change event
  • stopRespondingClick: Stop button click event
  • beforeAttachmentUpload: Before file upload event
  • attachmentUploadSuccess: File upload success event
  • attachmentUploadFailure: File upload failure event
  • attachmentRemoved: File removal event

Common Use Cases

Chat Bot with AI Integration

Build a customer service chatbot connected to OpenAI or Azure services:

  1. Set up component with suggestions
  2. Handle promptRequest to send to AI API
  3. Stream responses for real-time feedback
  4. Use templates for branded appearance

Voice-Enabled Assistant

Create hands-free voice interaction:

  1. Enable speechToTextSettings
  2. Configure Text-to-Speech toolbar button
  3. Handle speech events for status
  4. Provide visual feedback during voice capture

File Analysis Chat

Allow users to upload and discuss files:

  1. Enable attachments
  2. Configure file restrictions (type, size, count)
  3. Send files with prompts to backend
  4. Display file information in conversation

Multi-Feature Dashboard

Combine chat with settings and content:

  1. Create multiple views (Assist + Custom)
  2. Use templates for custom view content
  3. Implement view switching logic
  4. Share conversation state between views

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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

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按下载量换算246

Claude

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按下载量换算176

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按下载量换算129

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按下载量换算64

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安装前确认

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