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ai-ad-prompt-guide

Generate structured AI advertising prompts for video and image creation.

36|Updated Mar 2, 2026
Search Tags:#image-generation#model-selection#video-generation#ugc#ai-prompts#b-roll#ad-creative
One-click install
npx skills add https://github.com/creatify-ai/ai-ad-prompt-guide --skill ai-ad-prompt-guide
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-ad-prompt-guide
Source: https://github.com/creatify-ai/ai-ad-prompt-guide/tree/main
Command: npx skills add https://github.com/creatify-ai/ai-ad-prompt-guide --skill ai-ad-prompt-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams write AI video and image prompts that produce usable advertising assets instead of vague, inconsistent, or hallucinatory results. It turns ad prompting from trial-and-error into a repeatable workflow with clearer scene structure, better camera direction, and stronger model selection.

Core Features & Use Cases

  • Structured Prompting: Uses the SLCT framework to specify subject, lighting or look, camera, and technical details for reliable generation.
  • Hallucination Prevention: Reduces common AI artifacts by enforcing spatial clarity, entity limits, realistic references, and explicit quantities.
  • Creative Ad Workflows: Supports product shots, B-roll, UGC-style clips, cinematic hero scenes, and before/after compositions.
  • Model-Specific Guidance: Includes practical tips for Sora 2, Veo 3.1, Kling, Flux, Nano Banana, Seedance, and related workflows.
  • Quality and Production: Helps evaluate outputs with the Pass³ test and supports API-based asset generation for scalable ad production.

Quick Start

Ask the skill to create a prompt for your ad concept, specifying the product, format, model, and desired shot style.

Frequently Asked Questions about ai-ad-prompt-guide

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

FAQPage Schema
How do I write AI ad prompts that don't produce hallucinated or inconsistent video assets?▼

To prevent hallucinations in AI ad prompts, use the SLCT framework to define subject, lighting, camera, and technical details while enforcing spatial clarity, entity limits, and explicit quantities. This structured approach reduces AI artifacts and improves output consistency.

What is the best way to structure AI image generation prompts for advertising?▼

The best way to structure AI image generation prompts for advertising is applying the SLCT framework to specify subject, lighting, camera, and technical details, ensuring reliable generation for product shots, B-roll, and cinematic hero content.

Can I use this prompt guide with Sora, Veo, and Kling for UGC-style ad creation?▼

Yes, you can use this guide for UGC-style ad creation with Sora, Veo, Kling, and Flux. It provides model-specific guidance and workflows to optimize prompt structure and output quality across these major generation platforms.

How do I evaluate the quality of generated AI ad creative before scaling production?▼

To evaluate generated AI ad creative, apply the Pass³ test to assess output quality and production readiness. This ensures your video and image assets meet advertising standards before proceeding with API-driven asset generation.

Why does my AI video generation produce vague results for cinematic product shots?▼

AI video generation produces vague results when prompts lack structured camera direction and spatial clarity. Using a structured framework with explicit lighting, camera vocabulary, and technical details transforms trial-and-error into a repeatable workflow for cinematic product shots.

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