ffmpeg analyse video skill AI agent skill that analyses video content by extracting frames with ffmpeg and using vision to generate timestamped step by step summaries. Works with screen recordings, tutorials, presentations, footage, and animations. Install [安装/使用命令见下方] Requirements ffmpeg and ffprobe installed on your system macOS: brew install ffmpeg Ubuntu/Debian: sudo apt install ffmpeg Windows: choco install ffmpeg or winget install ffmpeg Usage Provide a video file path and ask your agent to analyse it: [安装/使用命令见下方] [安装/使用命令见下方] [安装/使用命令见下方] Advanced [安装/使用命令见下方] [安装/使用命令见下方] [安装/使用命令见下方] How It Works [安装/使用命令见下方] Frame images are only ever read inside disposable sub agent contexts. The main agent receives lightweight text only analysis files — no images enter the main conversation. This cuts context usage by 90% compared to reading frames directly. Frame Extraction Strategies Video Duration Strategy Expected Frames 0 60s Interval (1 frame/2s) 1 30 1 10min Scene detection 15 60 10 30min Keyframe extraction 30 80 30min+ Thumbnail filter Capped at 60 Output Format The skill produces a structured markdown report: Metadata — duration, resolution, fps, content type, frames analysed Timeline — chronological segments with descriptions Key Moments — 3 7 most significant timestamps Summary — 2 5 sentence narrative License MIT