Twinmind core workflow a
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'Execute TwinMind primary workflow: Meeting transcription and summary generation.
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SKILL.md
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TwinMind Core Workflow A: Meeting Transcription & Summary
Contents
Overview
Primary workflow for capturing meetings, generating transcripts with speaker diarization, and creating AI summaries with action items.
Prerequisites
- Completed
twinmind-install-authsetup - 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
| Error | Cause | Solution |
|---|---|---|
| Transcription timeout | Large audio file | Increase maxWaitMs or use async callback |
| Speaker match failed | No calendar data | Provide attendees list manually |
| Summary generation failed | Transcript too short | Ensure minimum 30s of audio |
| Audio format unsupported | Wrong codec | Convert to MP3/WAV/M4A |
| Rate limit exceeded | Too many requests | Implement queue-based processing |
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
| Format | Supported | Notes |
|---|---|---|
| MP3 | Yes | Recommended |
| WAV | Yes | Best quality |
| M4A | Yes | iOS recordings |
| WebM | Yes | Browser recordings |
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.