syncfusion-javascript-ai-assistview

Integrate Syncfusion JavaScript AI AssistView with prompt-response and markdown rendering.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/syncfusion/javascript-ui-controls-skills --skill syncfusion-javascript-ai-assistview
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: syncfusion-javascript-ai-assistview
Source: https://github.com/syncfusion/javascript-ui-controls-skills/tree/main/skills/syncfusion-javascript-ai-assistview
Command: npx skills add https://github.com/syncfusion/javascript-ui-controls-skills --skill syncfusion-javascript-ai-assistview

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automate and simplify the creation of AI-powered chat UIs by providing a ready-to-use Syncfusion AI AssistView integration that handles prompts, responses, and markdown rendering.

Core Features & Use Cases

  • Prompt-Response Flow: manage prompts and AI responses with Markdown rendering.
  • AI Service Integrations: OpenAI, Gemini, Ollama, LiteLLM, MCP support for diverse models.
  • Customization & Extensions: toolbars, templates, custom views, file attachments, and speech-to-text.

Quick Start

Install the skill package and initialize AIAssistView in your application to begin.

Frequently Asked Questions about syncfusion-javascript-ai-assistview

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an AI chat interface with markdown rendering and streaming?

To build an AI chat interface, integrate the Syncfusion AI AssistView into your app, configure the promptRequest handler, and use addPromptResponse to display streaming markdown responses.

What AI services can I connect to a conversational UI using this approach?

This approach supports integrations with OpenAI, Gemini, Ollama, LiteLLM, and MCP, allowing you to connect your conversational UI to diverse AI models through the promptRequest handler.

Can I add file attachments and speech-to-text to an AI chat UI?

Yes, the AI AssistView supports file attachments and speech-to-text capabilities, alongside custom toolbars and templates, allowing you to tailor the conversational UI to your needs.

How do I display AI responses in a JavaScript chat application?

You display AI responses in a JavaScript chat application by using the addPromptResponse method after configuring the promptRequest handler to fetch and process the AI model output.

What is the best way to customize an AI AssistView toolbar for prompt handling?

The best way to customize the AI AssistView toolbar is by leveraging optional templates and custom views, allowing you to tailor the conversational UI specifically for your prompt handling workflow.

Do I need to configure a specific handler to enable AI streaming in a chat UI?

Yes, you need to configure the promptRequest handler to enable AI streaming in your chat UI, which processes prompts and interacts with the AI service to return the results.