twinmind-core-workflow-a

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Execute TwinMind primary workflow: Meeting transcription and summary generation. Use when implementing meeting capture, building transcription features, or automating meeting documentation. Trigger with phrases like "twinmind transcription workflow", "meeting transcription", "capture meeting with twinmind".

AI & Automation 2,359 stars 334 forks Updated today MIT

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# TwinMind Core Workflow A: Meeting Transcription & Summary ## Contents - [Overview](#overview) - [Prerequisites](#prerequisites) - [Instructions](#instructions) - [Output](#output) - [Error Handling](#error-handling) - [Examples](#examples) - [Resources](#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 imple...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
8 months ago
Last Updated
today
Language
Python
License
MIT

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