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 managing TwinMind meeting AI operations. Trigger with phrases like "twinmind reference architecture", "twinmind reference architecture".
Best use case
twinmind-reference-architecture is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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".
Teams using twinmind-reference-architecture should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/twinmind-reference-architecture/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How twinmind-reference-architecture Compares
| Feature / Agent | twinmind-reference-architecture | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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.
```javascript
// 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
```javascript
// 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
```bash
# 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
- [TwinMind Website](https://twinmind.com)
- [Chrome Extension](https://chromewebstore.google.com/detail/twinmind/agpbjhhcmoanaljagpoheldgjhclepdj)
- [Ear-3 Model](https://www.marktechpost.com/2025/09/11/twinmind-introduces-ear-3-model/)
- [iOS App](https://apps.apple.com/us/app/twinmind-ai-notes-memory/id6504585781)
## 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.Related Skills
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