youtube-clipper

The skill automates YouTube video clipping by downloading the video with yt_dlp, analyzing subtitles, generating 2-5 minute semantic chapters, and cutting your chosen segments using FFmpeg with frame-accurate timing.

Yes, the skill translates subtitles to a bilingual format and optionally burns them into the clipped video using FFmpeg with libass support, producing ready-to-share video files with visible text overlays.

Yes, you need yt_dlp to download YouTube videos and FFmpeg with libass support to execute frame-accurate clipping and burn bilingual subtitles into the final output files.

The best way is using an end-to-end workflow that downloads the video, generates semantic chapters, clips segments, translates subtitles, and auto-generates social media summaries for platforms like Xiaohongshu and Douyin.

AI semantic chapter generation works by analyzing downloaded subtitles to automatically divide the video into meaningful 2-5 minute sections, allowing you to select and clip specific segments without manual timeline scrubbing.

Subtitle burning fails if your FFmpeg installation lacks libass support, which is required for rendering bilingual subtitles into the video. Ensure FFmpeg is properly compiled with libass to successfully burn subtitles.