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效率与协作 · SKILL.md

twinmind-reference-architecture

twinmind-reference-architecture

【效率与协作】Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind reference architecture", "twinmind reference architecture".

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GitHub

name: twinmind-reference-architecture description: 'Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration.

Use when implementing reference architecture,

or managing TwinMind meeting AI operations.

Trigger with phrases like "twinmind reference architecture", "twinmind reference architecture".

' allowed-tools: Read, Write, Edit, Bash(npm:), Bash(curl:), Grep version: 1.13.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • twinmind
  • architecture compatibility: Designed for Claude Code

TwinMind Reference Architecture

Overview

Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. TwinMind uses the Ear-3 speech model (5.26% WER, 3.8% DER) for transcription, with GPT-4, Claude, and Gemini for AI summarization.

Prerequisites

  • TwinMind account (Free, Pro $10/mo, or Enterprise)
  • Chrome extension installed and authenticated
  • Understanding of TwinMind workflow

Instructions

Step 1: Setup

TwinMind operates as a Chrome extension and mobile app with optional API access for Pro/Enterprise users.

// TwinMind configuration
const config = {
  apiKey: process.env.TWINMIND_API_KEY,
  model: "ear-3", // Transcription model
  aiModels: ["gpt-4", "claude", "gemini"], // Summary models
};

Step 2: Implementation

// TwinMind Reference Architecture implementation
// Core TwinMind integration
const twinmind = {
  transcriptionModel: "ear-3",
  languages: ["en", "es", "ko", "ja", "fr"],
  features: ["transcription", "summary", "action-items"],
  privacyMode: "on-device", // Audio never stored
};

// Check transcription capabilities
async function verify() {
  const health = await fetch("https://api.twinmind.com/v1/health");
  console.log("TwinMind status:", await health.json());
}

Step 3: Verification

# Verify TwinMind integration
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/health | jq .

Key TwinMind Specifications

FeatureSpecification
Transcription modelEar-3 (5.26% WER)
Speaker diarization3.8% DER
Languages140+ supported
Audio processingOn-device (no recordings stored)
AI modelsGPT-4, Claude, Gemini (auto-routed)
PlatformsChrome extension, iOS, Android
PricingFree / Pro $10/mo / Enterprise custom

Output

  • TwinMind Reference Architecture configured and verified
  • TwinMind integration operational
  • Meeting transcription workflow ready

Error Handling

ErrorCauseSolution
Microphone access deniedBrowser permissions not grantedEnable in Chrome settings
Transcription not startingAudio source not detectedCheck microphone selection
API key invalidIncorrect or expired keyRegenerate in TwinMind dashboard
Sync failedNetwork interruptionCheck connection, retry
Calendar disconnectOAuth token expiredRe-authorize in Settings

Resources

Next Steps

See twinmind-prod-checklist for production readiness.

Examples

Basic: Configure reference architecture with default TwinMind settings for standard meeting workflows.

Enterprise: Customize for high-volume meeting transcription with monitoring and alerting.

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