How does this skill help with media buying?

It streamlines the creative production process by identifying the highest-potential video segments for ads, focusing on emotional resonance and authenticity.

How are clips categorized by the skill?

Clips are automatically tagged into five strategic types: Hooks, Social Proof, Narrative, CTA, and Objection Handling.

What types of video work best with this skill?

Raw interviews, unscripted UGC footage, and founder stories yield the most authentic results for extraction.

What criteria are used to score video clips?

Clips are scored on a 1-10 scale based on weighted factors: Authenticity (25%), Emotion (25%), Clarity (20%), Relevance (20%), and Technical Quality (10%).

Does this skill suggest how to assemble the clips?

Yes, the skill provides 'Ad Combinations' which suggest specific sequences of hooks, body content, and CTAs to create effective ad arcs.

Marketing Clip Extraction

Name: Marketing Clip Extraction
Author: WalkerHi11

byWalkerHi11

0•

Marketing Automation

Identifies and catalogs high-potential ad clips from raw video footage using timestamped transcription and emotional resonance analysis.

The Clip Extraction skill is designed for media buyers and content creators who need to transform hours of raw footage—such as founder interviews or UGC—into high-converting ad components. It follows a rigorous five-step framework that includes timestamped transcription, identification of unscripted emotional markers, and categorical tagging into hooks, social proof, and CTAs. By scoring clips based on authenticity and clarity, the skill helps teams rapidly assemble optimized ad combinations and identify content gaps for future shoots, significantly reducing the manual labor involved in creative post-production.

Key Features

010 GitHub stars

02Automated categorization into Hooks, Social Proof, Narrative, and CTA clips.

03Timestamped transcription for precise navigation of raw video files.

04Structured ad combination suggestions for various marketing funnel stages.

05Detection of authentic emotional markers like voice cracks, pauses, and 'aha' moments.

06Quantitative scoring (1-10) based on authenticity, clarity, and ad potential.

Use Cases

01Processing long-form founder interviews to extract emotional brand origin stories.

02Sifting through raw UGC submissions to find the most authentic customer reactions.

03Building a categorized library of high-value video assets for rapid creative testing.

Key Features

010 GitHub stars

02Automated categorization into Hooks, Social Proof, Narrative, and CTA clips.

03Timestamped transcription for precise navigation of raw video files.

04Structured ad combination suggestions for various marketing funnel stages.

05Detection of authentic emotional markers like voice cracks, pauses, and 'aha' moments.

06Quantitative scoring (1-10) based on authenticity, clarity, and ad potential.

Use Cases

01Processing long-form founder interviews to extract emotional brand origin stories.

02Sifting through raw UGC submissions to find the most authentic customer reactions.

03Building a categorized library of high-value video assets for rapid creative testing.