image-ad-clone

Reverse-engineers existing image ads into reusable prompt templates validated via Arcads generators.

1.5k|357|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/krusemediallc/arcads-claude-code --skill image-ad-clone
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-ad-clone
Source: https://github.com/krusemediallc/arcads-claude-code/tree/main/skills/image-ad-clone
Command: npx skills add https://github.com/krusemediallc/arcads-claude-code --skill image-ad-clone

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Marketers often see a high-performing image ad and want to reproduce its structure for their own brand, but manually deconstructing layout, typography, and style into a reusable prompt is slow and inconsistent. This Skill turns any existing ad image into a validated, parameterizable prompt template added to a shared 37-template library.

Core Features & Use Cases

  • 10-phase cloning workflow: Visual analysis, draft prompt, generate-with-reference, iterate (capped at 4 rounds), generalize into placeholders, cross-brand test, cross-model validation, and documentation.
  • Dual-backend validation: Routes through ChatGPT Image 2 (gpt-image-2) for typography/UI-mimicry ads or Nano Banana for photoreal/lifestyle/multi-reference ads, with model notes recorded for both.
  • Aspect ratio mapping: Maps source ratios like 4:5 or 1.91:1 to the Arcads-supported 1:1, 16:9, and 9:16 outputs with documented fallbacks.
  • Use Case: You find a competitor's fake Slack-thread ad that converts well. Provide the image, and the Skill analyzes it, generates matching variants via gpt-image-2, generalizes the prompt with brand placeholders, and appends it as template T40+ to the shared prompt library.

Quick Start

Clone this ad image into a reusable prompt template and validate it with the Arcads image generators.

Frequently Asked Questions about image-ad-clone

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

FAQPage Schema
How do I turn an existing image ad into a reusable prompt template?

Provide the reference ad image and the Skill runs a 10-phase workflow: structural visual analysis, draft prompt, generate-with-reference via Arcads, iteration, generalization into brand placeholders, and cross-brand testing. The validated template is appended to the shared prompt library.

Should I use gpt-image-2 or Nano Banana to clone an ad?

Choose gpt-image-2 for typography-heavy or UI-mimicry ads like fake Slack threads, search results, or comparison tables. Choose Nano Banana for photoreal handheld objects, lifestyle photography, multi-image reference blending, or clay-style textures. The Skill can auto-detect or clone twice for both backends.

What aspect ratios does the Arcads image API support?

The Arcads /v2/images/generate endpoint accepts only 1:1, 16:9, and 9:16 regardless of model. Ads in 4:5, 2:3, or 5:4 render at 1:1 and are post-cropped downstream, while 1.91:1 ads render at 16:9.

What credentials and dependencies are required to clone an ad with Arcads?

You need a .env file with ARCADS_BASIC_AUTH or ARCADS_API_KEY, Python 3.12+, and at least one companion generator skill installed (chatgpt-image-ad or nano-banana-image-ad). PRODUCT_ID is optional since the generator auto-fetches the first Arcads product.

When should I not use image-ad-clone?

Do not use it for fresh ad generation from scratch; use chatgpt-image-ad or nano-banana-image-ad instead. It only accepts an existing ad image as input and is designed for template extraction, not net-new creative.