ad-creative

Generates and optimizes ad creative across multiple platforms using Python and AI APIs.

1|Updated Feb 2, 2026

Search Tags:#performance marketing #ad copy #ad optimization #ad creative #ad generation

Ready to run

npx skills add https://github.com/Nirman-Khairnar/sellatica-website --skill ad-creative-nirman-khairnar

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ad-creative
Source: https://github.com/Nirman-Khairnar/sellatica-website/tree/main/.agent/skills/ad-creative
Command: npx skills add https://github.com/Nirman-Khairnar/sellatica-website --skill ad-creative-nirman-khairnar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, google-ads, meta-ads, linkedin-ads, tiktok-ads, twitter-ads, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating and optimizing ad creative for various platforms, enabling users to generate high-performing ad copy and visuals efficiently.

Core Features & Use Cases

Ad Copy Generation: Create ad headlines, descriptions, and primary text based on product context and audience insights.
Performance Data Analysis: Analyze existing ad performance data to identify winning patterns and generate new variations.
Platform-Specific Guidelines: Enforce character limits and formatting rules for different advertising platforms.
Visuals Generation: Utilize AI tools for generating static and video ad visuals.
Voiceover and Audio: Generate voiceovers and audio tracks for video ads.
Code-Based Video: Use Remotion for templated, data-driven video ads at scale.
Batch Generation Workflow: Automate the generation of large-scale ad variations.

Quick Start

Use the ad-creative skill to generate ad copy for a new product launch, including headlines, descriptions, and visuals.

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 creative for multiple advertising platforms at scale?▼

You can generate ad creative at scale by utilizing AI for text generation, image and video generation, and voiceover production, while enforcing platform-specific guidelines for Google, Meta, LinkedIn, TikTok, and Twitter ads.

How does performance data analysis improve ad copy generation?▼

Performance data analysis improves ad copy by identifying winning patterns in existing ad performance data to generate new, high-performing text, headline, and description variations iteratively.

Do I need Python to execute ad generation scripts?▼

Yes, you need Python for script execution. The ad generation process also requires various AI APIs for creative generation, alongside dependencies like pypdf and pdfplumber for data handling.

Can I use this to create code-based video ads?▼

Yes, you can create code-based video ads by using Remotion to generate templated, data-driven video ads at scale, complemented by AI tools for voiceover and audio track production.

What is the best way to automate batch generation of ad variations?▼

The best way to automate batch generation is using the built-in batch generation workflow, which automates the creation of large-scale ad variations based on product context and audience insights.

Does this approach support platform-specific character limits and formatting rules?▼

Yes, the ad optimization process enforces platform-specific guidelines, including character limits and formatting rules, to ensure generated ad copy complies with multiple advertising platform requirements.