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///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
Author
Kim Barrett
Advertising systems, AI-driven marketing, and direct-response strategy
If you use this properly, it won’t just improve your ads.
It will change how you think about them.