Clip YouTube videos with bilingual subtitles and social media summaries.
npx skills add https://github.com/gitduk/agents --skill youtube-clipper
Please help me install this Agent Skill. Skill: youtube-clipper Source: https://github.com/gitduk/agents/tree/main/skills/youtube-clipper Command: npx skills add https://github.com/gitduk/agents --skill youtube-clipper
This skill streamlines the creation of short, bilingual YouTube clips by automatically downloading videos and subtitles, analyzing content to generate semantic chapters, clipping segments, translating subtitles to Chinese-English, burning subtitles into the video, and generating social-media-ready summaries.
Clip a YouTube video by URL, generate semantic chapters, export a chosen segment with bilingual subtitles, and produce social media summaries.
High-intent search queries and answers about installing and using this skill.
To clip YouTube videos with bilingual subtitles, you provide a video URL to download it, generate semantic chapters, extract the desired segment, translate subtitles to Chinese-English, and burn them directly into the video file using FFmpeg. This produces a shareable bilingual clip.
Yes, you can automatically generate social media summaries for Xiaohongshu, Douyin, and WeChat from a long YouTube video. The process analyzes the downloaded content, extracts precise 2-5 minute semantic chapters, and produces ready-to-post copy alongside the bilingual video clips.
Yes, you need yt-dlp and FFmpeg installed to download YouTube videos and clip segments. The workflow performs environment checks for these dependencies before processing, using yt-dlp for downloading and FFmpeg for precise video clipping and subtitle burning.
Semantic chaptering splits long videos into shorter clips by analyzing the downloaded content and subtitle tracks to identify logical topic boundaries. It automatically divides the video into 2-5 minute chapters, allowing you to extract specific segments for repurposing.
The best way to batch translate YouTube subtitles to Chinese and English is to download the original subtitle tracks, process them through automated AI translation, and generate bilingual SRT files. These translated subtitles are then burned into the clipped video segments.
A key limitation when processing bilingual subtitles is that your environment must have FFmpeg properly configured for burning text into video. Additionally, the automated semantic chaptering relies on original subtitle availability, meaning videos lacking accurate subtitles may not segment correctly.
openakitaExtract subtitles and transcripts from Bilibili and YouTube videos using yt-dlp.
garfield-bbAutomate social media content creation and publishing across Xiaohongshu, Douyin, WeChat Official Accounts, and video accounts.
joonlabTranslate English SRT subtitle files into Korean while preserving timing and structure.
wlzhDownload YouTube videos with configurable quality and format using yt-dlp.
