MCPInstall

openmaic-classroom

OpenMAIC — Open Multi-Agent Interactive Classroom platform for generating immersive AI-powered learning experiences with slides, quizzes, simulations, and multi-agent discussions.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/reason-machines/trending-skills --skill openmaic-classroom
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads openmaic-classroom automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

OpenMAIC — Multi-Agent Interactive Classroom

Skill by ara.so — Daily 2026 Skills collection.

OpenMAIC (Open Multi-Agent Interactive Classroom) is a Next.js 16 / React 19 / TypeScript platform that converts any topic or document into a full interactive lesson. A multi-agent pipeline (LangGraph 1.1) generates slides, quizzes, HTML simulations, and project-based learning activities delivered by AI teachers and AI classmates with voice (TTS) and whiteboard support.


Project Stack

LayerTechnology
FrameworkNext.js 16 (App Router)
UIReact 19, Tailwind CSS 4
Agent orchestrationLangGraph 1.1
LanguageTypeScript 5
Package managerpnpm >= 10
RuntimeNode.js >= 20

Installation

git clone https://github.com/THU-MAIC/OpenMAIC.git
cd OpenMAIC
pnpm install

Environment Configuration

cp .env.example .env.local

Edit .env.local — at minimum one LLM provider key is required:

# LLM Providers (configure at least one)
OPENAI_API_KEY=$OPENAI_API_KEY
ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY
GOOGLE_API_KEY=$GOOGLE_API_KEY

# Recommended default model (Gemini 3 Flash = best speed/quality balance)
DEFAULT_MODEL=google:gemini-3-flash-preview

# Optional: MinerU for advanced PDF/table/formula parsing
PDF_MINERU_BASE_URL=https://mineru.net
PDF_MINERU_API_KEY=$MINERU_API_KEY

# Optional: access code for hosted mode
ACCESS_CODE=$OPENMAIC_ACCESS_CODE

Provider Config via YAML (alternative to env vars)

Create server-providers.yml in the project root:

providers:
  openai:
    apiKey: $OPENAI_API_KEY
  anthropic:
    apiKey: $ANTHROPIC_API_KEY
  google:
    apiKey: $GOOGLE_API_KEY
  deepseek:
    apiKey: $DEEPSEEK_API_KEY
  # Any OpenAI-compatible endpoint
  custom:
    baseURL: https://your-proxy.example.com/v1
    apiKey: $CUSTOM_API_KEY

Running the App

# Development
pnpm dev
# → http://localhost:3000

# Production build
pnpm build && pnpm start

# Type checking
pnpm tsc --noEmit

# Linting
pnpm lint

Docker Deployment

cp .env.example .env.local
# Edit .env.local with your API keys

docker compose up --build
# → http://localhost:3000

Vercel Deployment

# Fork the repo, then import at https://vercel.com/new
# Set env vars in Vercel dashboard:
#   OPENAI_API_KEY or ANTHROPIC_API_KEY or GOOGLE_API_KEY
#   DEFAULT_MODEL (optional, e.g. google:gemini-3-flash-preview)

One-click deploy button is available in the README; it pre-fills env var descriptions automatically.


Lesson Generation Pipeline

OpenMAIC uses a two-stage pipeline:

StageDescription
OutlineAI analyzes topic/document and produces a structured lesson outline
ScenesEach outline item is expanded into a typed scene: slides, quiz, interactive, or pbl

Scene Types

TypeDescription
slidesAI teacher lectures with TTS narration, spotlight, laser pointer
quizSingle/multiple choice or short-answer with AI grading
interactiveHTML-based simulation (physics, flowcharts, etc.)
pblProject-Based Learning — choose a role, collaborate with agents

API Usage — Generating a Classroom

REST: Start Generation Job

// POST /api/generate
const response = await fetch('/api/generate', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    topic: 'Quantum Entanglement',
    // Optional: attach document content
    document: markdownString,
    // Optional: model override
    model: 'google:gemini-3-flash-preview',
  }),
});

const { jobId } = await response.json();

REST: Poll Job Status

// GET /api/generate/status?jobId=<jobId>
const poll = async (jobId: string) => {
  while (true) {
    const res = await fetch(`/api/generate/status?jobId=${jobId}`);
    const data = await res.json();

    if (data.status === 'completed') {
      console.log('Classroom URL:', data.classroomUrl);
      break;
    }
    if (data.status === 'failed') {
      throw new Error(data.error);
    }
    // status === 'pending' | 'running'
    await new Promise(r => setTimeout(r, 3000));
  }
};

REST: Export Slides

// GET /api/export/pptx?classroomId=<id>
const exportPptx = async (classroomId: string) => {
  const res = await fetch(`/api/export/pptx?classroomId=${classroomId}`);
  const blob = await res.blob();
  const url = URL.createObjectURL(blob);
  // trigger download
  const a = document.createElement('a');
  a.href = url;
  a.download = 'lesson.pptx';
  a.click();
};

// GET /api/export/html?classroomId=<id>
const exportHtml = async (classroomId: string) => {
  const res = await fetch(`/api/export/html?classroomId=${classroomId}`);
  const html = await res.text();
  return html;
};

OpenClaw Integration

OpenMAIC ships a skill for OpenClaw, enabling classroom generation from Feishu, Slack, Discord, Telegram, etc.

Install the Skill

# Via ClawHub (recommended)
clawhub install openmaic

# Manual install
mkdir -p ~/.openclaw/skills
cp -R /path/to/OpenMAIC/skills/openmaic ~/.openclaw/skills/openmaic

Configure OpenClaw

Edit ~/.openclaw/openclaw.json:

{
  "skills": {
    "entries": {
      "openmaic": {
        "config": {
          // Hosted mode — get access code from https://open.maic.chat/
          "accessCode": "$OPENMAIC_ACCESS_CODE",

          // Self-hosted mode — local repo + server URL
          "repoDir": "/path/to/OpenMAIC",
          "url": "http://localhost:3000"
        }
      }
    }
  }
}

OpenClaw Skill Lifecycle

PhaseWhat Happens
CloneDetect existing checkout or clone fresh
StartupChoose pnpm dev, pnpm build && pnpm start, or Docker
Provider KeysGuide user to edit .env.local
GenerationSubmit async job, poll, return classroom link

Custom Scene Development Pattern

Scenes are typed React components. To add a new scene type:

// types/scene.ts
export type SceneType = 'slides' | 'quiz' | 'interactive' | 'pbl' | 'custom';

export interface CustomScene {
  type: 'custom';
  title: string;
  content: string;
  // your fields
  metadata: Record<string, unknown>;
}
// components/scenes/CustomScene.tsx
'use client';

import { type CustomScene } from '@/types/scene';

interface Props {
  scene: CustomScene;
  onComplete: () => void;
}

export function CustomSceneComponent({ scene, onComplete }: Props) {
  return (
    <div className="flex flex-col gap-4 p-6">
      <h2 className="text-2xl font-bold">{scene.title}</h2>
      <div dangerouslySetInnerHTML={{ __html: scene.content }} />
      <button
        className="mt-4 rounded-lg bg-blue-600 px-6 py-2 text-white"
        onClick={onComplete}
      >
        Continue
      </button>
    </div>
  );
}

Multi-Agent Interaction Modes

ModeTriggerDescription
Classroom DiscussionAutomaticAgents proactively start discussions; user can jump in or get called on
Roundtable DebateScene configMultiple agent personas debate a topic with whiteboard illustrations
Q&AUser asks questionAI teacher responds with slides, diagrams, or whiteboard drawings
WhiteboardDuring any sceneAgents draw equations, flowcharts, or concept diagrams in real time

MinerU Advanced Document Parsing

For complex PDFs with tables, formulas, or scanned images:

# Use MinerU hosted API
PDF_MINERU_BASE_URL=https://mineru.net
PDF_MINERU_API_KEY=$MINERU_API_KEY

# Or self-hosted MinerU instance (Docker)
PDF_MINERU_BASE_URL=http://localhost:8888

Without MinerU, OpenMAIC falls back to standard PDF text extraction.


Supported LLM Providers & Model Strings

// Model string format: "provider:model-name"
const models = {
  // Google (recommended)
  geminiFlash: 'google:gemini-3-flash-preview',   // best speed/quality
  geminiPro: 'google:gemini-3.1-pro',             // highest quality

  // OpenAI
  gpt4o: 'openai:gpt-4o',
  gpt4oMini: 'openai:gpt-4o-mini',

  // Anthropic
  claude4Sonnet: 'anthropic:claude-sonnet-4-5',
  claude4Haiku: 'anthropic:claude-haiku-4-5',

  // DeepSeek
  deepseekChat: 'deepseek:deepseek-chat',

  // OpenAI-compatible (custom base URL)
  custom: 'custom:your-model-name',
};

Export Formats

FormatEndpointNotes
PowerPoint .pptxGET /api/export/pptx?classroomId=Fully editable slides
Interactive .htmlGET /api/export/html?classroomId=Self-contained HTML page

Common Patterns

Generate a Classroom from a Document String

const generateFromDocument = async (markdownContent: string, topic: string) => {
  const res = await fetch('/api/generate', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      topic,
      document: markdownContent,
      model: process.env.DEFAULT_MODEL ?? 'google:gemini-3-flash-preview',
    }),
  });

  const { jobId } = await res.json();

  // Poll until done
  let classroomUrl: string | null = null;
  while (!classroomUrl) {
    await new Promise(r => setTimeout(r, 4000));
    const status = await fetch(`/api/generate/status?jobId=${jobId}`).then(r => r.json());
    if (status.status === 'completed') classroomUrl = status.classroomUrl;
    if (status.status === 'failed') throw new Error(status.error);
  }

  return classroomUrl;
};

Check Provider Health

// GET /api/providers
const checkProviders = async () => {
  const res = await fetch('/api/providers');
  const { providers } = await res.json();
  // providers: Array<{ name: string; available: boolean; models: string[] }>
  return providers.filter((p: { available: boolean }) => p.available);
};

Troubleshooting

ProblemSolution
No LLM provider configuredSet at least one of OPENAI_API_KEY, ANTHROPIC_API_KEY, or GOOGLE_API_KEY in .env.local
Generation hangs at outline stageCheck API key quota; try switching to google:gemini-3-flash-preview for higher rate limits
TTS not workingTTS requires a browser with Web Speech API support; check browser console for errors
PDF parsing produces garbled textEnable MinerU by setting PDF_MINERU_BASE_URL in .env.local
Vercel timeout during generationIncrease function timeout in vercel.json; generation is async so the API should return a jobId immediately
Docker build failsEnsure DOCKER_BUILDKIT=1 and that .env.local exists before running docker compose up --build
OpenClaw skill not foundRun clawhub install openmaic or manually copy skills/openmaic to ~/.openclaw/skills/
pnpm install fails on Node < 20Upgrade Node.js to >= 20 (nvm use 20)
Port 3000 already in useSet PORT=3001 in .env.local or run PORT=3001 pnpm dev

Key File Structure

OpenMAIC/
├── app/                    # Next.js App Router pages & API routes
│   ├── api/
│   │   ├── generate/       # POST lesson generation, GET status
│   │   ├── export/         # pptx / html export endpoints
│   │   └── providers/      # LLM provider health check
│   └── classroom/          # Classroom viewer pages
├── components/
│   ├── scenes/             # Slide, Quiz, Interactive, PBL components
│   ├── whiteboard/         # Real-time whiteboard rendering
│   └── agents/             # Agent avatar & TTS components
├── lib/
│   ├── agents/             # LangGraph agent graph definitions
│   ├── providers/          # LLM provider abstractions
│   └── generation/         # Outline + scene generation pipeline
├── skills/
│   └── openmaic/           # OpenClaw skill definition
├── server-providers.yml    # Optional YAML provider config
├── .env.example            # Environment variable template
└── docker-compose.yml      # Docker deployment config

FAQ

What does the openmaic-classroom skill do?

OpenMAIC — Open Multi-Agent Interactive Classroom platform for generating immersive AI-powered learning experiences with slides, quizzes, simulations, and multi-agent discussions.

How do I install openmaic-classroom?

Run npx skills add https://github.com/reason-machines/trending-skills --skill openmaic-classroom in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/openmaic-classroom/ (personal) or .claude/skills/openmaic-classroom/ (project).

Which AI agents can use openmaic-classroom?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is openmaic-classroom safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains openmaic-classroom?

It is published by reason-machines in reason-machines/trending-skills. It has 1,432 recorded installs.

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