Ad Creative

Generates ad copy at scale for Google, Meta, LinkedIn, and other platforms while checking character limits so your headlines don't get truncated. Reads existing product marketing context to avoid redundant questions, then either creates fresh creative from scratch or analyzes performance data to identify winning patterns and iterate accordingly. Structures output for direct platform upload and organizes variations by angle (pain point, social proof, urgency, etc.) rather than dumping random headlines. Also covers visual ad generation with specific tool recommendations for images, video, and code-based rendering. Solid for performance marketers who need bulk creative production without the manual platform spec checking.

install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.: 13
skills.sh installs: 143.9K
GitHub stars: 59.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add coreyhaines31/marketingskills --skill ad-creative --agent claude-code

Installs into .claude/skills of the current project.

Files

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.

Before Starting

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Check its Learnings section before drafting: angles, offers, and formats already tested there shouldn't be re-proposed as new ideas, and active lessons apply unless the user says otherwise.

Gather this context (ask if not provided):