What problem does it solve? AI agents cannot natively watch videos, and calling multimodal video APIs on full-length content is expensive and slow. This Skill decomposes videos from YouTube, X/Twitter, LinkedIn, TikTok, Reddit, Vimeo, and Facebook into JPG frames plus a text transcript, letting agents reason about video content with standard vision and text models at roughly 50x lower cost. ## Core Features & Use Cases - Full video pipeline: The watch command downloads a video, extracts evenly-spaced frames, and transcribes audio in one structured output block. - Modular commands: Use dl-video, extract-frames, transcribe, and audio-q individually for download-only, frame extraction, Whisper transcription, or audio scene Q&A. - Login-walled content: Auto-detects browser cookies or accepts a --cookies file for LinkedIn, private X, and Facebook videos. - Use Case: Ask the agent to watch a coding tutorial video; it reads frames showing file structures and code on screen, combines them with the transcript's verbal instructions, and reconstructs a working implementation. ## Quick Start Ask the agent to watch a YouTube tutorial video at a given URL and summarize what it teaches using the extracted frames and transcript.