Skill UI

Automates converting recordings into structured Markdown documentation, adding metadata, diarization, summaries, and captions via Whisper/Faster-Whisper for meetings, interviews, lectures, and content analysis.

Automates converting recordings into structured Markdown documentation, adding metadata, diarization, summaries, and captions via Whisper/Faster-Whisper for meetings, interviews, lectures, and content analysis.

A comprehensive guide to diagnosing and resolving common technical issues encountered with the Granola application. Covers fixes for audio capture failures, transcription quality degradation, calendar syncing problems, and integration errors with platforms like Slack and Notion. Includes platform-specific troubleshooting steps for macOS and Windows users.

This utility automatically collects comprehensive diagnostic data for the Granola application, including system specifications, audio configurations, network connectivity tests, and application metadata. It packages all findings into a single ZIP file for support teams. Use this when preparing a detailed support ticket or troubleshooting complex, persistent issues. The process is designed to collect diagnostic context without exposing sensitive meeting content, transcripts, or private API keys.

This skill outlines the complete workflow for capturing and structuring meeting notes using Granola. It captures audio, transcribes the content, and intelligently merges live user notes with the full transcript. The output is structured into key sections like Summaries, Decisions, and Action Items. Users can also interact with Granola Chat for post-meeting Q&A, making it an essential tool for professional meeting documentation and follow-up.

This comprehensive guide details the end-to-end setup for Granola AI, an advanced AI meeting note-taking solution. It covers initial installation on macOS/Windows, authenticating with major cloud services (Google/Microsoft), and critically, granting all necessary system permissions (Screen Recording, Microphone) to ensure seamless, background audio capture and transcription. Use this guide when setting up Granola for the first time or troubleshooting connectivity issues.

A comprehensive guide to optimizing Granola's output quality across three dimensions: audio transcription accuracy, AI enhancement quality, and overall processing speed. Learn best practices for hardware setup, ideal meeting habits, and structuring your templates to maximize AI output reliability and efficiency.

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.

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.

Downloads YouTube and other platform videos for offline viewing, editing, or archiving, letting you batch download, pick resolutions, and preserve metadata in MP4, WebM, or audio-only formats.

Download YouTube videos with selectable quality (best to 360p or worst) and output formats (mp4/webm/mkv) or audio-only MP3, saving to a specified directory via a lightweight Python wrapper around yt-dlp.

This skill analyzes a recorded video of a manual, repetitive process. It extracts visual frames and transcribes audio narration to reconstruct the step-by-step workflow, identifying applications used, data flow, and pain points. Based on a detailed understanding of the process, the assistant proposes targeted, working automation scripts using tools already available on the user's machine.