coreyhaines31/marketingskills

⭐ 27,637  ·  JavaScript  ·  GitHub Repo

Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.

claude codex marketing

1-Sentence Summary

Standardized marketing skill library that turns AI coding agents into expert marketers.

🔥 Key Capabilities & USP

• Cross-Referenced Skill Architecture: Skills don't exist in isolation. Each skill references others and builds on a shared product-marketing-context foundation. This solves the pain point of AI agents losing context between tasks, ensuring every marketing action is grounded in your product's unique positioning.
• Comprehensive Marketing Skill Library: Over 30 specialized skills covering the full marketing stack—SEO, CRO, copywriting, paid ads, growth engineering, sales, and strategy. This eliminates the need to manually prompt-engineer marketing workflows for your AI agent.
• Multi-Agent Compatibility: Works out-of-the-box with Claude Code, OpenAI Codex, Cursor, and Windsurf. This solves the vendor lock-in problem, letting you switch AI agents without rebuilding your marketing automation.
• Structured Workflow Integration: Each skill includes clear "when to use" triggers and best practices, enabling agents to autonomously recognize marketing tasks and apply the correct framework. This turns your AI agent from a passive assistant into a proactive marketing partner.

USP: This is the first standardized, cross-referenced skill system purpose-built for AI agents in marketing—not a generic prompt collection, but a dependency-aware architecture that mirrors how real marketing teams operate.

Technical Architecture

Component	Description
Format	Markdown files following the Agent Skills spec
Language	JavaScript (project scaffolding)
Dependency Hierarchy	product-marketing-context is the root skill; all others depend on it
Skill Categories	SEO & Content, CRO, Content & Copy, Paid & Measurement, Growth & Retention, Sales & GTM, Strategy
Cross-Referencing	Skills link to each other (e.g., copywriting ↔ page-cro ↔ ab-test-setup) for full workflow integration
Compatibility	Claude Code, OpenAI Codex, Cursor, Windsurf, and any agent supporting the Agent Skills spec

The architecture is intentionally simple—plain markdown with structured metadata—making it easy to audit, contribute to, and extend without complex build tooling.

Quick Start Guide

1. Clone the repository:

   git clone https://github.com/coreyhaines31/marketingskills.git
   cd marketingskills

2. Load skills into your AI agent:

   • For Claude Code: Point Claude to the skills/ directory
   • For Codex/Cursor/Windsurf: Configure your agent to read from the skills folder
   • The foundational skill product-marketing-context is loaded automatically by all other skills

3. Activate a skill:

   • Reference a skill by name (e.g., "Use the SEO audit skill") or let the agent auto-detect based on your task
   • Each skill contains usage triggers that help the agent recognize when to apply it

No additional dependencies, package managers, or build steps required.

Pros, Cons & Use Cases

Pros

• Standardized format works across multiple AI agents—no vendor lock-in
• Comprehensive coverage of 30+ marketing domains from CRO to programmatic SEO
• Community-contributable via pull requests, enabling organic growth
• Companion guide available for beginners to understand the skill system
• Dependency-aware architecture ensures agents maintain context across related tasks

Cons

• Requires terminal familiarity—not for marketers who avoid command-line tools
• Effectiveness depends on the AI agent's ability to parse and follow markdown skill instructions (varies by model)
• No explicit versioning or dependency management for skills—updates are manual and breaking changes could cascade

Who should NOT use this?

• Non-technical marketers who rely solely on GUI-based tools and have no comfort with terminals or code editors
• Teams using low-code/no-code marketing platforms that don't integrate with AI coding agents
• Organizations with strict compliance requirements around AI-generated content, as the skills automate copywriting and strategy without human-in-the-loop guarantees

Ideal Use Cases

• Growth engineers building automated SEO and CRO pipelines with AI agents
• Technical founders who want AI-assisted marketing without hiring a full marketing team
• Marketing ops teams standardizing AI agent behavior across multiple projects and agents
• Agency owners scaling marketing execution by equipping AI agents with battle-tested workflows

Community & Activity

With 27,637 stars, this project has clearly struck a nerve in the technical marketing community. It's not just popular—it's actively maintained, with the latest update on May 10, 2026, signaling ongoing development and community engagement. The project's momentum suggests a growing recognition that AI agents need structured, domain-specific skills to move beyond generic chat interactions. The open PR mechanism invites contributions, meaning the skill library will only grow more comprehensive over time. If you're serious about AI-assisted marketing, this is the community to watch and join.