Skill UI

This comprehensive workflow automates the entire meeting documentation process. It handles live or recorded audio input, performing accurate transcription with speaker diarization. Subsequently, it leverages advanced AI models to generate detailed summaries, extract key action items, draft follow-up emails, and create structured meeting minutes, significantly enhancing organizational knowledge retention and operational efficiency.

This secondary workflow automates post-meeting follow-up processes. It intelligently extracts action items, inferring priority and assignees, and synchronizes these tasks to external project management tools (e.g., Asana, Jira, Linear). It also generates and sends follow-up emails, creating a complete, automated task lifecycle management system.

This skill guides users through transcribing live meetings (Zoom, Meet, Teams) or voice memos using advanced AI. It provides full transcriptions with timestamps, and advanced AI processing to automatically generate structured meeting summaries, prioritized action items with assignees, and key discussion points. It is essential for meeting accountability, knowledge capture, and project follow-up.

A comprehensive runbook for managing and resolving common incidents within the TwinMind meeting AI platform. This guide covers failures such as transcription not starting, audio capture issues, syncing errors, and calendar disconnections. It provides API setup, code snippets, and detailed troubleshooting steps to ensure a stable, continuous meeting AI workflow.

Provides comprehensive observability for the TwinMind AI meeting system. This skill allows users to monitor critical performance metrics, including transcription quality (using Ear-3 model), meeting coverage, action item extraction accuracy, and memory vault health. It is essential for implementing robust, enterprise-grade AI workflows and managing the operational status of advanced meeting AI applications.