ad-creative

Generate and optimize ad creatives from CSV performance data for Google, Meta, and LinkedIn Ads.

Updated Apr 8, 2026

Search Tags:#google-ads #linkedin-ads #meta-ads #ad-creative #advertising-automation #csv-analysis #creative-generation

Ready to run

npx skills add https://github.com/Gami19/rd-strands-agents --skill ad-creative-gami19

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ad-creative
Source: https://github.com/Gami19/rd-strands-agents/tree/main/strands-py/backend/agent/skills/pr/ad-creative
Command: npx skills add https://github.com/Gami19/rd-strands-agents --skill ad-creative-gami19

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Advertising teams spend countless hours crafting and testing ad creatives across platforms, often failing to scale effective variations.

Core Features & Use Cases

Automates generation of hundreds of ad creative variations while respecting platform constraints
Analyzes performance data from existing CSVs to identify underperforming ads and optimize
Outputs platform-ready headlines/descriptions and CSV-ready creative sets for Google Ads, Meta Ads, and LinkedIn Ads

Quick Start

Generate a high-variation set of ad creatives from your input data and test them across multiple platforms to determine top performers.

Frequently Asked Questions about ad-creative

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

FAQPage Schema

How do I generate ad creatives from CSV performance data?▼

Generating RSA-ready ad creatives means producing headlines and descriptions that strictly adhere to Google Ads, Meta Ads, and LinkedIn Ads platform constraints. The automation outputs configuration CSVs to scale ad creatives with data-driven optimization.

Can I automate ad creative variations for Google Ads and Meta Ads?▼

Yes, you can automate large-volume ad creative variations for Google Ads, Meta Ads, and LinkedIn Ads by processing historical performance data. The system outputs hundreds of platform-ready headlines and descriptions while respecting platform constraints.

What do I need to optimize ad creatives for RSA-ready campaigns?▼

To optimize ad creatives for RSA-ready campaigns, you need marketing context, historical CSV performance data, and platform-specific constraints. These inputs enable the system to output optimized headlines and descriptions directly into configuration CSVs.

Does this approach support exporting CSV-ready creative sets for LinkedIn Ads?▼

Yes, this approach supports exporting CSV-ready creative sets for LinkedIn Ads. It analyzes existing performance data to produce platform-specific headlines and descriptions, outputting configuration CSVs ready for immediate campaign deployment.

What is the best way to scale hundreds of ad creative variations?▼

The best way to scale hundreds of ad creative variations is using data-driven automation that analyzes historical CSV performance data. This approach respects platform-specific constraints and outputs platform-ready creative sets for testing across multiple campaigns.