twinmind-deploy-integration
Deploy TwinMind integrations to production environments with Chrome extension deployment, mobile app configuration, and API access setup. Use when implementing deploy integration, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind deploy integration", "twinmind deploy integration".
Best use case
twinmind-deploy-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Deploy TwinMind integrations to production environments with Chrome extension deployment, mobile app configuration, and API access setup. Use when implementing deploy integration, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind deploy integration", "twinmind deploy integration".
Teams using twinmind-deploy-integration 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-deploy-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How twinmind-deploy-integration Compares
| Feature / Agent | twinmind-deploy-integration | 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?
Deploy TwinMind integrations to production environments with Chrome extension deployment, mobile app configuration, and API access setup. Use when implementing deploy integration, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind deploy integration", "twinmind deploy integration".
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 Deploy Integration
## Overview
Deploy TwinMind integrations to production environments with Chrome extension deployment, mobile app configuration, and API access setup. 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.
```bash
# TwinMind API access (Pro/Enterprise)
export TWINMIND_API_KEY="your-api-key"
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/health
# Expected: {"status": "ok"}
```
### Step 2: Implementation
```javascript
// TwinMind Deploy Integration 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 Deploy Integration 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 deploy integration 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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