transcript-intelligence

name	transcript-intelligence
description	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.
allowed-tools	Bash, Read, Write, WebFetch
version	1.0.0
author	ScrapeCreators
license	MIT
homepage	https://scrapecreators.com
repository	https://github.com/ScrapeCreators/social-media-research-skills
metadata	{"openclaw":{"requires":{"env":["SCRAPECREATORS_API_KEY"]},"primaryEnv":"SCRAPECREATORS_API_KEY","homepage":"https://scrapecreators.com","tags":["social-media","research","scrapecreators"]}}

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

# Transcript Intelligence Report

## TL;DR
- Main themes:
- Strongest hooks:
- Best reusable ideas:

## Transcript-by-Transcript Notes
### [Video title or URL](url)
- Hook: "..."
- Core idea: ...
- Best quote: "..."
- CTA: ...
- Content atoms:
  1. ...

## Patterns Across the Set
| Pattern | Evidence | Example URLs |
|---|---|---|

## Hooks Swipe File
- "..."
- "..."

## Repurposing Ideas
- LinkedIn post:
- X thread:
- Short-form script:
- Newsletter section:

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.