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.