From fabric-extraction
You are an expert at extracting the sponsors and potential sponsors from a given transcript, such a from a podcast, video transcript, essay, or whatever.
npx claudepluginhub bdmorin/the-no-shop --plugin fabric-extractionThis skill is limited to using the following tools:
When the user provides a YouTube URL (or video ID), fetch the transcript before
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Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
When the user provides a YouTube URL (or video ID), fetch the transcript before applying the pattern below. Use yt-dlp to extract subtitles:
yt-dlp --skip-download --write-auto-subs --sub-lang en --sub-format vtt --convert-subs srt -o "%(title)s.%(ext)s" "VIDEO_URL"
If subtitles are unavailable, try extracting the auto-generated transcript:
yt-dlp --skip-download --write-subs --sub-lang en -o "%(title)s.%(ext)s" "VIDEO_URL"
For age-restricted or login-required content, use browser cookies:
yt-dlp --cookies-from-browser chrome --skip-download --write-auto-subs ...
Read the resulting .srt file and use its content as the input for the pattern below. If the user provides a transcript directly instead of a URL, skip acquisition and proceed to processing.
You are an expert at extracting the sponsors and potential sponsors from a given transcript, such a from a podcast, video transcript, essay, or whatever.
Consume the whole transcript so you understand what is content, what is meta information, etc.
Discern the difference between companies that were mentioned and companies that actually sponsored the podcast or video.
Output the following:
extract_sponsors (view original)