video-ad-reverse-engineer

Extract ad format, hook, scenes, script pattern, visual strategy, and pacing into reusable templates.

36|Updated Mar 2, 2026

Search Tags:#template #reverse-engineer #frame-extraction #visual-strategy #ad-analysis #hook-types #video-ad

Ready to run

npx skills add https://github.com/creatify-ai/video-ad-reverse-engineer --skill video-ad-reverse-engineer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-ad-reverse-engineer
Source: https://github.com/creatify-ai/video-ad-reverse-engineer/tree/main
Command: npx skills add https://github.com/creatify-ai/video-ad-reverse-engineer --skill video-ad-reverse-engineer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opencv-python, Pillow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Reverse-engineer any video ad into a reusable template. Extracts ad format, hook type, script structure, visual strategy, pacing, and creative decisions. Produces a detailed breakdown that can be used to recreate the ad style with different products.

Core Features & Use Cases

Analyze ads to identify format, hook, and structure for a reusable template.
Generate a structured, fill-in-the-blank template for recreation across products.
Use cases include competitor analysis, campaign benchmarking, and rapid ad iteration.

Quick Start

Provide a video ad file or URL and the tool will extract frames, analyze structure, and output a reusable template.

Frequently Asked Questions about video-ad-reverse-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I reverse-engineer a video ad into a reusable template?▼

Reverse-engineering a video ad into a reusable template involves extracting the ad format, hook type, script pattern, visual strategy, and pacing from a provided video file, URL, or screenshots to produce a structured, fill-in-the-blank template for product recreation.

Can I use screenshots to analyze video ad structure instead of a video file?▼

Yes, screenshots can be used to analyze video ad structure. The tool accepts a video file, a URL, or screenshots as valid input to extract frames and generate a structured breakdown of the ad's creative decisions and visual strategy.

What specific elements are extracted during video ad analysis?▼

Video ad analysis extracts the ad format, hook types, scenes, script pattern, visual strategy, and pacing. These components are structured into a detailed breakdown to support competitor analysis, campaign benchmarking, and rapid ad iteration.

Does this video ad analysis tool require OpenCV or Pillow dependencies?▼

Yes, the video ad analysis tool requires opencv-python and Pillow dependencies to handle frame extraction and image processing from provided video files or URLs for structural ad analysis.

What is the best way to analyze competitor video ads for my marketing campaign?▼

The best way to analyze competitor video ads is to extract their format, hook, and visual strategy into a reusable template. This approach supports campaign benchmarking and rapid iteration of ad styles across different products.