realkimbarrett

Advertising Skills for Open Claw, Claude Code & AI agents. Direct response, paid ads, funnels, and copy systems.

337
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100% credibility
Found Mar 27, 2026 at 337 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A library of structured thinking guides designed for AI agents to create effective direct-response ads, copywriting, positioning, and marketing funnels.

How It Works

1
🔍 Find the Skills

While searching for better ways to make ads that sell, you stumble upon this collection of advertising know-how for AI helpers.

2
📖 Explore Examples

You read the simple guides and see sample outputs, getting excited about how it turns vague ideas into winning strategies.

3
Add to Your AI

You easily add these skills to your AI assistant, unlocking its ability to think like a top ad expert.

4
🎯 Pick a Campaign Goal

You tell your AI what you want, like more booked calls or sales, and it starts chaining the right skills.

5
Generate Ad Magic

Your AI crafts sharp positioning, eye-catching ad ideas, funnel paths, and sales copy that actually converts.

6
🚀 Launch Your Ads

You take the ready-to-use creatives and strategies and run them on your ad platforms.

🎉 Watch Results Soar

Your campaigns perform better than ever, bringing in more customers with smarter messaging and less wasted spend.

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Star Growth

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AI-Generated Review

What is advertising-skills?

This repo packs reusable skills for AI agents like Claude Code, Open Claw, and Cursor, targeting direct-response ads, paid media on Meta/TikTok/YouTube, funnels, and copywriting. It fixes bland, generic AI marketing by encoding operator-grade thinking—awareness mapping, offer positioning, creative testing—into chainable components. Drop them into your agent's skills folder for outputs like ad angles, objection handlers, and campaign diagnostics, complete with advertising skills examples and notes like a focused advertising skills notes pdf.

Why is it gaining traction?

Unlike prompt dumps or generic templates, it prioritizes strategy over polish, merging copy chief frameworks (Eugene Schwartz awareness) with ad ops for real conversion logic. The hook: pre-built flows for full funnels, from avatar mining to performance QA, that devs notice in sharper, testable ads. At 337 stars, it's pulling in builders of AI ad systems seeking advertising skills meaning beyond surface copy.

Who should use this?

Media buyers optimizing paid traffic, founders ditching ad guesswork for structured scaling, agencies enforcing consistent funnels. Ideal for devs wiring AI into advertising workflows, like generating scroll-stopping creatives or building booked-call campaigns.

Verdict

Worth testing for AI marketing prototypes—strong docs outline skills and flows—but 1.0% credibility and 337 stars reflect early maturity without tests or platform code. Grab it if chaining agent skills fits your ad ops stack; track the roadmap for deeper integrations.

(198 words)

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