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Embed the chatbot UI inside Docusaurus and connect it to the FastAPI RAG backend. Use when building chat components, handling streaming responses, or integrating chat widgets into MDX pages.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name ui-embed
description Embed the chatbot UI inside Docusaurus and connect it to the FastAPI RAG backend. Use when building chat components, handling streaming responses, or integrating chat widgets into MDX pages.

UI Embed Skill

Instructions

  1. Build component

    • Create React chat panel (ChatbotPanel.tsx) with:
      • Message list
      • Input field
      • Mode toggle (RAG vs Selected Text)
      • Source list display
    • Handle streaming responses (EventSource/fetch reader)
    • Include loading and error UI states
  2. API client

    • Create fetch helpers for /query and /query/selected
    • Include page metadata (module/week/title) for logging
    • Debounce/trim inputs; enforce max length
  3. Integration

    • Add to src/theme/Layout or dedicated Chat page
    • Optionally show floating button
    • Provide MDX shortcode to drop chat in specific chapters
  4. UX and accessibility

    • Basic console logging for failures
    • Friendly fallback messages
    • Focus management, keyboard submit
    • Readable contrast

Examples

// ChatbotPanel.tsx
import React, { useState } from 'react';

export function ChatbotPanel({ apiUrl }: { apiUrl: string }) {
  const [messages, setMessages] = useState([]);
  const [input, setInput] = useState('');
  const [mode, setMode] = useState<'rag' | 'selected'>('rag');
  
  // ... implementation
}
{/* In any MDX page */}
import { ChatbotPanel } from '@site/src/components/ChatbotPanel';

<ChatbotPanel apiUrl={process.env.API_URL} />

Definition of Done

  • Widget renders in Docusaurus dev build; can query backend
  • Selected-text path sends provided text and returns grounded answer
  • Error/loading states visible; minimal styling but responsive
  • Integration steps documented for future pages