meta-ads-creative-producer

Name: meta-ads-creative-producer
Availability: InStock
Author: kayasinan

Generate ad images and copy variants from competitor analysis with Python and Supabase.

1|Updated Feb 15, 2026

Search Tags:#image generation #marketing automation #brand compliance #gemini ai #ad creative #ad variant

Ready to run

npx skills add https://github.com/kayasinan/meta-ad-manager --skill meta-ads-creative-producer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meta-ads-creative-producer
Source: https://github.com/kayasinan/meta-ad-manager/tree/main/meta-ads-creative-producer
Command: npx skills add https://github.com/kayasinan/meta-ad-manager --skill meta-ads-creative-producer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, Pillow, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of ad creatives, generating visually appealing and on-brand images and copy to improve advertising campaign performance.

Core Features & Use Cases

Variant Generation: Creates multiple variations of existing winning ads or generates entirely new creatives based on competitor analysis.
Brand Consistency: Ensures all generated assets adhere to brand guidelines, including locked elements, color palettes, and banned words.
Automated QC: Implements a rigorous 6-point quality control system to ensure high-quality, compliant creatives before they are used.
Use Case: A marketing team needs to refresh their ad creatives for an upcoming campaign. They can use this Skill to generate dozens of new image and copy variations based on their best-performing past ads, ensuring brand consistency and saving significant design time.

Quick Start

Use the meta-ads-creative-producer skill to generate 5 new ad image variants based on the provided winning ad image and brand configuration.

Frequently Asked Questions about meta-ads-creative-producer

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

FAQPage Schema

How do I automate ad creative generation using AI while maintaining brand compliance?▼

Automating ad creative generation uses AI models like Gemini to produce images and copy, ensuring brand compliance by strictly adhering to your locked elements, color palettes, and banned words. This process includes automated quality control checks before output.

Can I generate new ad variants based on competitor analysis and existing winning ads?▼

Generating new ad variants from competitor analysis and winning ads is fully supported by replicating successful formulas. The system creates entirely new creatives inspired by your analysis while applying a rigorous 6-point quality control system to ensure high-quality, compliant outputs.

Does this ad creative tool work with Gemini AI and Supabase for data management?▼

This ad creative tool works directly with Gemini AI for image and copy generation and integrates with a Supabase backend for data management. It operates via Python scripts utilizing the google-genai, Pillow, and requests dependencies to process and render your marketing assets.

What is the best way to ensure brand consistency across multiple AI-generated image variants?▼

The best way to ensure brand consistency across AI-generated image variants is to enforce strict brand guidelines during generation. The system automatically checks locked elements, color palettes, and banned words, performing automated quality control before approving any creative.

How do I run automated quality control checks on AI-generated marketing assets?▼

Running automated quality control on AI-generated marketing assets is handled natively by the Python scripts through a rigorous 6-point checking system. This validates high-quality, compliant creatives by verifying brand guideline adherence before the assets are approved for use.