transcript-intelligence

v2026.09.24

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.

GitHub
安装命令
npx skhub add scrapecreators/transcript-intelligence
Markdown
SKILL.md

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

PlatformEndpoint
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.
发现
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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

MIT

源路径

skills/transcript-intelligence

默认分支

main

最新提交

64ba7b4

Tree SHA

6d4803a