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

TwinMind Core Workflow A: Meeting Transcription & Summary

Contents

• Overview
• Prerequisites
• Instructions
• Output
• Error Handling
• Examples
• Resources

Overview

Primary workflow for capturing meetings, generating transcripts with speaker diarization, and creating AI summaries with action items.

Prerequisites

• Completed twinmind-install-auth setup
• TwinMind Pro/Enterprise for API access
• Valid API credentials configured
• Audio source available (live or file)

Instructions

Step 1: Initialize Meeting Capture

Build a MeetingCapture class with startLiveCapture() for real-time recording and transcribeRecording() for file-based transcription. Use Ear-3 model with auto language detection and speaker diarization.

Step 2: Generate AI Summary

Create a SummaryGenerator with generateSummary() (brief/detailed/bullet-points formats), generateFollowUpEmail(), and generateMeetingNotes() methods.

Step 3: Handle Speaker Identification

Build a SpeakerManager that extracts speakers from transcript segments, calculates speaking time per speaker, and optionally matches speakers to calendar attendees.

Step 4: Orchestrate Complete Workflow

Wire everything together in processMeeting(): transcribe audio, then generate summary and identify speakers in parallel, optionally produce follow-up email and meeting notes.

See detailed implementation for complete MeetingCapture, SummaryGenerator, SpeakerManager, and orchestration code.

Output

• Complete meeting transcript with timestamps
• Speaker-labeled segments
• AI-generated summary
• Extracted action items with assignees
• Optional follow-up email draft
• Optional formatted meeting notes

Error Handling

Examples

Basic usage: Apply twinmind core workflow a to a standard project setup with default configuration options.

Advanced scenario: Customize twinmind core workflow a for production environments with multiple constraints and team-specific requirements.

Audio Format Support

Resources

• TwinMind Transcription API
• Ear-3 Model Details
• Audio Format Guide

Next Steps

For action item extraction and follow-up automation, see twinmind-core-workflow-b.