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Skillv1.0.0

twinmind-reference-architecture

Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or ma

by jeremylongshore(0) 0 installs
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About

Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-reference-architecture. Copyright stays with the author (MIT).

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

Feature Specification
Transcription model Ear-3 (5.26% WER)
Speaker diarization 3.8% DER
Languages 140+ supported
Audio processing On-device (no recordings stored)
AI models GPT-4, Claude, Gemini (auto-routed)
Platforms Chrome extension, iOS, Android
Pricing Free / Pro $10/mo / Enterprise custom

Output

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

Error Handling

Error Cause Solution
Microphone access denied Browser permissions not granted Enable in Chrome settings
Transcription not starting Audio source not detected Check microphone selection
API key invalid Incorrect or expired key Regenerate in TwinMind dashboard
Sync failed Network interruption Check connection, retry
Calendar disconnect OAuth token expired Re-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.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-twinmind-refe-5eb718/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-twinmind-refe-5eb718.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-twinmind-refe-5eb718",
  "kind": "skill",
  "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\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "saas",
      "twinmind",
      "architecture",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Bash(npm:*),",
      "Bash(curl:*),",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# TwinMind Reference Architecture\n\n## Overview\n\nProduction 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.\n\n## Prerequisites\n\n- TwinMind account (Free, Pro $10/mo, or Enterprise)\n- Chrome extension installed and authenticated\n- Understanding of TwinMind workflow\n\n## Instructions\n\n### Step 1: Setup\n\nTwinMind operates as a Chrome extension and mobile app with optional API access",
  "cost": {
    "context_tokens": 790
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-twinmind-refe-5eb718/manifest?version=1.0.0

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