Advertising Skills for AI Agents provides a system of reusable "skills" for AI agents to generate direct-response advertising copy, media strategies, and funnel architectures. It targets media buyers, founders, and agencies seeking to improve paid ad performance beyond generic AI outputs by encoding strategic thinking.

How It Works

This repository structures advertising knowledge into modular, reusable "skills" rather than simple prompts. It uniquely combines a "Copy Chief Brain" (Eugene Schwartz-style copywriting, offer design) with an "Operator Brain" (paid acquisition execution, funnel logic, testing). These skills are designed to be chained together in specific flows, enabling complex campaign building from avatar extraction to final ad creative and conversion paths. This approach prioritizes strategic thinking and conversion over generic output.

Quick Start & Requirements

• Installation: Compatible with agents using the "Agent Skills pattern"; install into .agents/skills/.
• Dependencies: Works with Claude Code, Cursor, Windsurf, Codex, and custom agent frameworks. Implicitly requires an AI agent framework supporting the "Agent Skills pattern."
• Links: No direct quick-start or demo links provided.

Highlighted Details

• Encodes strategic thinking for direct-response advertising, paid media, and copywriting.
• Combines "Copy Chief Brain" (strategy, copywriting) and "Operator Brain" (execution, scaling).
• Skills are modular, opinionated, and designed for chaining (e.g., avatar-extraction → offer-extraction → schwartz-awareness-mapper → ...).
• Focuses on high-converting funnels, sharp positioning, and direct-response copy that sells.

Maintenance & Community

• Author: Kim Barrett.
• Roadmap: Mentions expansion of Copy Chief library, advanced funnel orchestration, creative testing systems, and platform-specific layers.
• No explicit community links (Discord, Slack) or sponsorship details are provided.

Licensing & Compatibility

• License: MIT.
• Compatibility: MIT license permits commercial use and closed-source linking.

Limitations & Caveats

This system is not for generic content marketing or surface-level frameworks; it requires understanding of direct-response, paid traffic, and real budgets. It also necessitates integration with AI agents supporting the "Agent Skills pattern."