I made a "video understanding" agent skill. This is a huge part of my daily creative workflow, so I don't know why I waited so long to do this, but anyway... it's here. It works. You can use it too. Throw it a YouTube URL, an X URL, or a video or audio file and get back a high-quality transcription. It uses yt-dlp to download video (from X or YouTube), ffmpeg to extract audio from videos, and Gemini on Replicate to convert the speech to text. I've tested a bunch of different models and gemini-3.5-flash is the current winner, with the best balance of speed, accuracy, and cost. I'm not really sure why, but Google's models have long been way ahead of Anthropic and OpenAI on video understanding. You can steer the skill to use a locally running whisper model instead. That works, but in my experience that can take a _very_ long time even on a fancy new Macbook Pro, and the accuracy is not as good as what you get from Gemini. I think it's worth the extra pennies and the time savings to run it in the cloud on a frontier model.