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Twinmind Enterprise Rbac

ASecurity

'Configure TwinMind Enterprise with on-premise deployment, custom AI

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  • Added September 21, 2026
ai-agentsjavascriptgojavabashapi

Works with

  • claude code
  • api

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A100/100

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Scanned September 21, 2026

npx -y skills add jeremylongshore/claude-code-plugins-plus --skill twinmind-enterprise-rbac --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: twinmind-enterprise-rbac
description: 'Configure TwinMind Enterprise with on-premise deployment, custom AI
  models, SSO integration, and team-wide transcript sharing.

  Use when implementing enterprise rbac,

  or managing TwinMind meeting AI operations.

  Trigger with phrases like "twinmind enterprise rbac", "twinmind enterprise rbac".

  '
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
- rbac
compatibility: Designed for Claude Code
---
# TwinMind Enterprise RBAC

## Overview

Configure TwinMind Enterprise with on-premise deployment, custom AI models, SSO integration, and team-wide transcript sharing. 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
- API access (Pro/Enterprise tier)

## Instructions

### Step 1: Enterprise Configuration

TwinMind Enterprise supports on-premise deployment, custom AI models, and unlimited context tokens.

```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: Role Configuration

```javascript
// TwinMind Enterprise RBAC implementation
// Enterprise tier features
const twinmind = {
  ssoProvider: "okta",
  teamSharing: true,
  customModels: ["gpt-4-turbo"],
  onPremise: true,
};

// Configure team access
async function configureTeam() {
  const team = await twinmind.createTeam({ name: "Engineering", members: ["user1", "user2"] });
  console.log("Team configured:", team.id);
}
```

### Step 3: Verification

```bash
# Verify TwinMind enterprise setup
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/team/members | 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 Enterprise RBAC configured and verified
- TwinMind integration operational
- Enterprise features enabled

## 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-observability` for monitoring setup.

## Examples

**Basic**: Configure enterprise rbac with default TwinMind settings for standard meeting workflows.

**Enterprise**: Deploy on-premise with custom AI models and SSO for team-wide meeting intelligence.

Files in this skill

  • SKILL.md3.5 KB
  • references/implementation.md6.7 KB

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