transcript-intelligence

Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.

By scrapecreators · 565 installs

npx skills add scrapecreators/social-media-research-skills --skill transcript-intelligence

Source repository · Upstream listing

Transcript Intelligence Overview Turn public video transcripts into useful research and content assets. This skill is for extracting signal from spoken social video: hooks, claims, stories, objections, examples, CTAs, and reusable content angles. When to Use Use this skill when the user asks to: summarize a video, reel, short, TikTok, podcast clip, or social video analyze a creator's hooks or speaking style extract quotes, claims, examples, and CTAs from transcripts turn transcripts into social posts, scripts, newsletters, or content ideas compare what multiple creators say about a topic Transcript Sources Platform Endpoint TikTok /v1/tiktok/video/transcript Instagram /v2/instagram/media/transcript YouTube /v1/youtube/video/transcript , /v1/youtube/video Facebook /v1/facebook/post/transcript X/Twitter /v1/twitter/tweet/transcript LinkedIn /v1/linkedin/post/transcript Rumble /v1/rumble/video/transcript Reddit video /v1/reddit/post/transcript If a detail endpoint already includes transcript text, use it. If transcript is unavailable, say so and fall back to title/caption/description only. Workflow 1. Collect URLs or discover videos If URLs are provided, fetch each transcript directly. If a creator/channel is provided, first fetch recent posts/videos, then choose relevant videos. 2. Extract transcript text Preserve timestamps if provided. Keep source URL with each transcript. Do not hallucinate missing captions. 3. Segment the transcript Break into: hook/opening setup/context main claim or lesson evidence/examples payoff CTA 4. Analyze the content Extract: exact hooks claims and contrarian takes stories frameworks objections addressed emotional language quotable lines content atoms that stand alone 5. Synthesize across multiple transcripts Cluster by topic and angle. Count recurring themes. Identify repeated hook formulas. Flag the strongest examples with citations. Output Format Common Pitfalls Do not summarize from the title alone if the user asked for transcript analysis. Fetch transcripts first. Do not lose exact wording. Hooks and quotes are more valuable verbatim. Do not treat AI generated transcript text as perfect. If wording seems garbled, mark it as approximate. Do not mix source attribution. Every quote should trace back to a URL.