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

TwinMind Multi-Environment Setup

Overview

Configure TwinMind across development, staging, and production environments with separate accounts and API key management. 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.

// 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

// TwinMind Multi-Environment Setup 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

# Verify TwinMind enterprise setup
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/team/members | jq .

Key TwinMind Specifications

Output

• TwinMind Multi-Environment Setup configured and verified
• TwinMind integration operational
• Enterprise features enabled

Error Handling

Resources

• TwinMind Website
• Chrome Extension
• Ear-3 Model
• iOS App

Next Steps

See twinmind-observability for monitoring setup.

Examples

Basic: Configure multi env setup with default TwinMind settings for standard meeting workflows.

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