marketingskills — What is it?

coreyhaines31/marketingskills is an open-source project providing a suite of AI agent skills for marketing tasks, enhancing conversion optimization, copywriting, SEO, analytics, and growth engineering.

⭐ 31,701 Stars 🍴 5,224 Forks JavaScript Author: coreyhaines31
Source: README View on GitHub →

Why it matters

This project is gaining attention due to its comprehensive collection of marketing-focused AI agent skills, addressing the pain point of manual marketing tasks and filling the gap in automated marketing solutions. Its unique technical choice is the modular design of skills that can be easily integrated and extended, making it adaptable to various marketing scenarios.

Source: Synthesis of README and project traits

Core Features

Skill-based architecture

The project is structured around markdown files (skills) that provide specialized knowledge and workflows for marketing tasks. Each skill can reference and build upon others, creating a flexible and extensible system.

Source: README
Integration with Claude Code and other agents

The skills are designed to work with Claude Code, OpenAI Codex, Cursor, Windsurf, and any agent that supports the Agent Skills spec, broadening their applicability.

Source: README
Community and support

The project encourages contributions and provides support through GitHub issues, offering a community-driven approach to development and troubleshooting.

Source: README

Architecture

The architecture is modular, with each skill implemented as a separate markdown file. Skills reference each other and build on shared context, primarily the 'product-marketing-context' skill. The code tree includes a .github folder for issue templates and workflows, indicating a focus on collaborative development and CI/CD processes.

Source: Code tree + README

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) Not enough information.Not enough inf… Skill-based architectureSkill-based archite… Integration with Claude Code and other agentsIntegration with Cl… Community and supportCommunity and suppo… marketingskills Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguageJavaScriptFrameworkNot enough information.
Not enough information.
Not enough information.
Source: README + Code tree

Quick Start

To get started, clone the repository, and then run the following commands: $ git clone https://github.com/coreyhaines31/marketingskills.git $ cd marketingskills $ npm install $ npm start
Source: README Installation/Quick Start

Use Cases

This project is for technical marketers and founders who want to automate marketing tasks. It is useful in scenarios such as optimizing conversion rates, improving copywriting, conducting SEO, and managing growth engineering. Specific problems it solves include reducing manual labor in marketing processes and enhancing the efficiency of marketing campaigns.

Source: README

Strengths & Limitations

Strengths

  • Strength 1: Comprehensive suite of marketing skills
  • Strength 2: Modular and extensible design
  • Strength 3: Community-driven development

Limitations

  • Limitation 1: Lack of information on technical dependencies
  • Limitation 2: Unknown license may raise legal concerns
  • Limitation 3: Limited documentation on specific skill implementations
Source: Synthesis of README, code structure and dependencies

Latest Release

Latest version: v1.10.0 (2026-05-06), which includes the co-marketing skill for partner identification and joint campaign planning.

Source: GitHub Releases

Verdict

coreyhaines31/marketingskills is a promising project for those looking to automate marketing tasks using AI agents. Its modular approach and community support make it a valuable resource for technical marketers and founders. However, the lack of information on technical dependencies and the unknown license may be barriers for some users.

Source: Synthesis
Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-05-24 12:05. Quality score: 85/100.

Data sources: README, GitHub API, dependency files