realkimbarrett/advertising-skills

# GitHub Repository: realkimbarrett/advertising-skills

**URL:** https://github.com/realkimbarrett/advertising-skills
**Author:** realkimbarrett
**Description:** Advertising Skills for Open Claw, Claude Code & AI agents. Direct response, paid ads, funnels, and copy systems.
**Homepage:** https://advertisingskills.io/
**Language:** 

## Stats
- Stars: 670
- Forks: 54
- Open Issues: 1
- Commits: 6
- Created: 2026-03-26T07:58:48Z
- Updated: 2026-06-17T14:46:22Z
- Pushed: 2026-03-26T08:44:06Z

## README
# Advertising Skills for AI Agents

**The direct-response, paid media, and copywriting system for serious operators.**

---

## Before vs After

**Before:**
“Scale your business with proven strategies”

**After:**
“You’re not bad at ads.  
You’ve just never been shown how to structure them properly.”

Same business.  
Completely different outcome.

---

Most AI marketing outputs sound the same.

Generic.  
Polished.  
Forgettable.  

This repository fixes that.

It encodes the thinking behind:

* high-performing ads  
* high-converting funnels  
* sharp positioning  
* and direct-response copy that actually sells  

Not as prompts.

As **skills**.

---

## What This Is

A best-in-class skill library for AI agents built around:

* Paid acquisition (Meta, TikTok, YouTube)  
* Eugene Schwartz-style copywriting  
* Offer design and positioning  
* Funnel architecture and conversion logic  
* Creative testing and scaling  
* Campaign diagnosis and optimisation  

Each skill is:

* focused  
* opinionated  
* reusable  
* and designed to work together  

---

## Why This Is Different

Most “AI marketing libraries” optimise for output.

This optimises for **thinking**.

That means:

* It doesn’t guess the audience — it defines it  
* It doesn’t write copy first — it builds the strategy first  
* It doesn’t try to sound smart — it tries to convert  
* It doesn’t just create — it filters, qualifies, and diagnoses  

It combines two worlds that are usually separate:

### The Copy Chief Brain

* Awareness levels (Eugene Schwartz)  
* Market sophistication  
* Mechanisms and big ideas  
* Headlines, leads, proof, objections, close  

### The Operator Brain

* Ad creative and angles  
* Funnel paths and conversion logic  
* Qualification and filtering  
* Testing and performance diagnosis  

Most systems have one.

This has both.

---

## How It Works

Each skill lives in its own folder:
skills/<category>/<skill-name>/SKILL.md

Each skill defines:

* when to use it  
* what inputs it needs  
* how it thinks  
* what it outputs  
* what it should not do  

They are designed to be chained.

---

## Example Flow

Building a booked-call campaign:
avatar-extraction
→ offer-extraction
→ schwartz-awareness-mapper
→ mechanism-builder
→ ad-angle-multiplier
→ scroll-stopping-creative
→ conversion-path-builder
→ objection-crusher
→ generic-language-killer

This produces:

* clear positioning  
* strong angles  
* high-performing ads  
* a clean funnel  
* and conversion-ready messaging  

---

## Example Output

See:
/examples/booked-call-campaign-ai-ads.md

---

## Core Skill Categories

### Foundations

Define reality before writing anything.

* avatar-extraction  
* voice-of-customer-miner  
* offer-extraction  
* proof-harvester  
* positioning-core  

---

### Copy Chief

The Eugene Schwartz layer.

* schwartz-awareness-mapper  
* market-sophistication-analyzer  
* dominant-desire-extractor  
* mechanism-builder  
* headline-matrix  
* objection-crusher  
* close-architect  

---

### Operator OS

Execution and scale.

* scroll-stopping-creative  
* ad-angle-multiplier  
* conversion-path-builder  
* landing-page-architect  
* email-sequence-architect  
* performance-diagnosis  
* testing-roadmap  

---

### QA

What makes the output actually good.

* generic-language-killer  
* claim-checker  
* consistency-auditor  
* final-polish  

---

### Orchestrators

Pre-built multi-skill flows.

* full-funnel-campaign-orchestrator  
* booked-call-campaign-orchestrator  
* campaign-diagnosis-orchestrator  

---

## Who This Is For

* Media buyers who want better creative and messaging  
* Founders running paid ads who are tired of guesswork  
* Agencies who want consistency across teams  
* Operators building AI-driven marketing systems  

---

## What This Is Not

* Not generic content marketing templates  
* Not “write me 10 captions” prompts  
* Not surface-level frameworks  

This is built for:

* direct response  
* paid traffic  
* real budgets  
* real consequences  

---

## Installation

Compatible with any agent using the Agent Skills pattern.

Install into:
.agents/skills/

Works with:

* Claude Code  
* Cursor  
* Windsurf  
* Codex  
* custom agent frameworks
* Open Claw

---

## Philosophy

The future isn’t better prompts.

It’s **better encoded thinking**.

---

## Roadmap

* Expanded Copy Chief library (mechanisms, big ideas, proof systems)  
* Advanced funnel orchestration  
* Creative testing systems  
* Platform-specific skill layers (Meta, TikTok, YouTube)  

---

## License

MIT

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## Author

Kim Barrett  
Advertising systems, AI-driven marketing, and direct-response strategy  

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If you use this properly, it won’t just improve your ads.

It will change how you think about them.