Fetch and clean YouTube video transcripts using yt-dlp.
npx skills add https://github.com/dsactivi-2/Mujo-Team --skill youtube-watcher-dsactivi-2
Please help me install this Agent Skill. Skill: youtube-watcher Source: https://github.com/dsactivi-2/Mujo-Team/tree/main/skills/youtube-watcher Command: npx skills add https://github.com/dsactivi-2/Mujo-Team --skill youtube-watcher-dsactivi-2
This Skill automates the process of obtaining and reading transcripts from YouTube videos, making it easy to summarize content or find specific information.
Use the youtube-watcher skill to get the transcript for the YouTube video located at https://www.youtube.com/watch?v=VIDEO_ID.
High-intent search queries and answers about installing and using this skill.
To extract a YouTube transcript, this Skill fetches and cleans closed captions or auto-generated subtitles from the video URL using yt-dlp, providing the text dialogue for further analysis.
Yes, you need the yt-dlp binary installed and accessible in your system's PATH to fetch YouTube video transcripts, as the Skill relies on it to retrieve and clean subtitle data.
Yes, you can summarize YouTube video content by retrieving the transcript with this Skill, then prompting your AI to generate a summary or extract key points from the spoken dialogue.
You can get specific information from a YouTube tutorial by fetching its transcript with this Skill, then asking targeted questions about the video topics to extract exact details from the text.
The best way to analyze spoken dialogue is fetching the cleaned transcript using yt-dlp, which converts the video's audio track into searchable text for question answering and content analysis.
Yes, this tool works with auto-generated subtitles on YouTube, fetching and cleaning them alongside closed captions to ensure you can extract information even from videos lacking manual transcripts.
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abdu6666Automate audio layer management and SRT/ASS subtitle creation for video production.
arthtyagiConvert spoken audio and video into text transcripts with timestamps and speaker labels.
