YouTube Watcher
Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
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Emerging
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Per week
Open source
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YouTube Watcher enables agents to fetch and read transcripts from YouTube videos, making video content accessible for summarization, question-answering, and analysis. Instead of watching a 30-minute video, your agent can extract the full transcript in seconds and work with it as structured text.
The skill executes a Python script that invokes yt-dlp to download subtitle tracks from the specified YouTube video into a temporary directory. It then processes the raw subtitle data — stripping timestamps, formatting tags, and duplicate lines — into clean, continuous text output. The transcript is printed to stdout, making it available for the agent to summarize, search, or analyze.
Install yt-dlp via your preferred package manager —
brew install yt-dlp on macOS or pip install yt-dlp as a cross-platform alternative. Once yt-dlp is available in your PATH, the skill is ready to use. Provide a YouTube URL and the skill handles transcript extraction automatically. Note that transcript quality depends on the availability and accuracy of the video's captions.No automatic installation available. Please visit the source repository for installation instructions.
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