advertising-skills

Advertising Skills for AI Agents

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

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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.

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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.

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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

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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.

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How It Works

Each skill lives in its own folder: skills///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.

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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

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Example Output

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

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Core Skill Categories

Foundations

Define reality before writing anything.

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

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Copy Chief

The Eugene Schwartz layer.

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

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Operator OS

Execution and scale.

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

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QA

What makes the output actually good.

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

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Orchestrators

Pre-built multi-skill flows.

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

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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

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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

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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

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Philosophy

The future isn’t better prompts.

It’s better encoded thinking.

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Roadmap

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

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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.