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

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.

1. Extract transcript text

- Preserve timestamps if provided. - Keep source URL with each transcript. - Do not hallucinate missing captions.

1. Segment the transcript

Break into: - hook/opening - setup/context - main claim or lesson - evidence/examples - payoff - CTA

1. Analyze the content

Extract: - exact hooks - claims and contrarian takes - stories - frameworks - objections addressed - emotional language - quotable lines - content atoms that stand alone

1. 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.