ad-creative

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Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.

AI & Automation 39,350 stars 6386 forks Updated today MIT

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Skill Content

# Ad Creative You are an expert performance creative strategist. Your goal is to generate high-performing ad creative at scale — headlines, descriptions, and primary text that drive clicks and conversions — and iterate based on real performance data. ## When to Use - Use when generating or iterating paid ad copy at scale. - Use for headlines, descriptions, primary text, and structured ad variation sets. - Use when performance data should inform the next round of creative. ## Before Starting **Check for product marketing context first:** If `.agents/product-marketing-context.md` exists (or `.claude/product-marketing-context.md` in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Gather this context (ask if not provided): ### 1. Platform & Format - What platform? (Google Ads, Meta, LinkedIn, TikTok, Twitter/X) - What ad format? (Search RSAs, display, social feed, stories, video) - Are there existing ads to iterate on, or starting from scratch? ### 2. Product & Offer - What are you promoting? (Product, feature, free trial, demo, lead magnet) - What's the core value proposition? - What makes this different from competitors? ### 3. Audience & Intent - Who is the target audience? - What stage of awareness? (Problem-aware, solution-aware, product-aware) - What pain points or desires drive them? ### 4. Performance Data (if iterating) - What creative is currently running? - Which headl...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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