winning-ad-translator

Translate competitor ad structures into brand-aligned 6-beat scripts with verification flags.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/williamsforeal/Cyclone-SS --skill winning-ad-translator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: winning-ad-translator
Source: https://github.com/williamsforeal/Cyclone-SS/tree/main/global-skills/winning-ad-translator
Command: npx skills add https://github.com/williamsforeal/Cyclone-SS --skill winning-ad-translator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It turns a competitor’s winning ad structure into a brand-aligned, placement-ready script set while preventing copycat wording and unverified claims.

Core Features & Use Cases

  • 6-beat competitor translation (Hook → Problem → Solution → Proof → Offer → Close): Rewrites the psychological architecture into your brand voice instead of copying competitor copy.
  • Three cut outputs for testing: Generates paired cuts sized for Meta Feed (15s), Reels (22s), and TikTok-native (39s), using the same visuals across cuts.
  • Verification-first compliance: Applies a required checklist of [VERIFY] flags for any physical/statistical/temporal/medical-adjacent claims before scripts are handed off.
  • Higgsfield prompt strings: Produces scene-by-scene prompt text so the creative iteration loop stays consistent across placements.

Quick Start

Use winning-ad-translator with the competitor ad reference you want transformed, your brand pack, and your target placements to generate all three brand-ready cuts with verification flags.

Frequently Asked Questions about winning-ad-translator

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

FAQPage Schema
How do I translate a competitor ad structure into Meta-ready scripts without copying their copy?

Ad translation extracts the psychological 6-beat architecture from a competitor reference and rewrites it into your brand voice to produce original, brand-aligned scripts for Meta placements. This approach models the winning structure without plagiarizing the exact wording.

What is the 6-beat architecture used for structuring Meta Feed and Reels video scripts?

The 6-beat architecture is a creative testing framework sequencing ad scripts through Hook, Problem, Solution, Proof, Offer, and Close. It maps the psychological beats of a winning competitor ad onto your brand offer stack to generate placement-ready video scripts.

How do I generate different video script lengths for Meta Feed, Reels, and TikTok-native placements?

You can generate three paired cuts sized for Meta Feed (15s), Reels (22s), and TikTok-native (39s) by translating a single competitor ad structure. The process reuses the same visuals across all three cuts to enable structured creative testing.

How do I flag unverified claims in AI-generated ad scripts before Meta submission?

Claim verification applies a checklist of [VERIFY] flags to every physical, statistical, temporal, and medical-adjacent claim in your ad scripts. This ensures compliance by forcing a manual review of all factual assertions prior to Meta submission.

Can I produce Higgsfield prompt strings from a competitor storyboard for creative testing?

Yes, you can extract beat functions from a provided competitor storyboard or reference and output scene-by-scene Higgsfield prompt strings. These prompts maintain visual consistency across your Meta Feed, Reels, and TikTok-native placements.

Do I need a brand pack to align a competitor ad translation with my brand voice?

Yes, providing a brand pack is required to rewrite the competitor ad's extracted structure into your specific brand voice and offer stack. This ensures the final Meta-ready scripts match your identity rather than the competitor's.