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ad-forensic-analyst

Extract ad creative elements and compute replication ratings for Airtable logging.

1|Updated Feb 6, 2026

Search Tags:#conversion optimization #airtable #creative strategy #persona targeting #ad analysis #messaging hooks #visual formula

Ready to run

npx skills add https://github.com/williamsforeal/Cyclone-SS --skill ad-forensic-analyst

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ad-forensic-analyst
Source: https://github.com/williamsforeal/Cyclone-SS/tree/main/global-skills/_deferred/ad-forensic-analyst
Command: npx skills add https://github.com/williamsforeal/Cyclone-SS --skill ad-forensic-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps marketing teams break down what makes an ad perform so they can replicate winning patterns instead of guessing at hooks, visuals, and messaging.

Core Features & Use Cases

Winning-ad teardown: Extracts core elements like hook type, visual formula, implied avatar, and awareness level from ad creative.
Replication scoring: Rates how closely a new or existing ad follows the structure of known winners using a replication rating.
Library logging: Writes the analyzed results into a Winning Ads Library (Airtable) for reuse across future campaigns.

Quick Start

Ask the assistant to analyze a specific ad and return a structured breakdown of hook_type, visual_formula, avatar_implied, and awareness_level along with a replication_rating, then log it to the Winning Ads Library.

Frequently Asked Questions about ad-forensic-analyst

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

FAQPage Schema

How do I reverse-engineer ad creative to improve conversion rates?▼

To reverse-engineer ad creative for conversion optimization, you analyze winning ads to extract the hook type, visual formula, implied avatar, and awareness level, then apply a replication rating to match those patterns in new campaigns.

How do I log analyzed winning ads to Airtable for future campaign iteration?▼

You log analyzed winning ads to Airtable by extracting the ad's structural elements and writing the hook type, visual formula, avatar implied, awareness level, and replication rating into a Winning Ads Library table for reuse.

Does this ad analysis approach work for persona-targeted and awareness-stage campaigns?▼

Yes, this ad analysis approach works for persona-targeted and awareness-stage campaigns by mapping the extracted visual formula and messaging hooks to the specific awareness level and implied avatar of the audience.

What is the best way to score ad replication for testing prioritization?▼

The best way to score ad replication for testing prioritization is to compute a replication rating that measures how closely a new ad concept follows the extracted visual formula and messaging hook structure of known winning ads.

Can I use this creative strategy workflow without setting up a Winning Ads Library in Airtable?▼

You can extract the visual formula and messaging hooks without Airtable, but logging results to a Winning Ads Library Airtable table is required to compute the replication rating and store the analysis for reuse.