Claude Marketing

Abstract

1. Introduction

For installing and using them properly, the Claude Marketing — The Complete Guide is the deeper reference — free, in Notion, six pages on install, credentials, the six skills to start with, how the scored audits work, five workflow chains I run on engagements, and the n8n pipeline build. Read it before you start, or keep it open on a second monitor while you work.

56 open-source skills that give Claude Code real marketing expertise — diagnostic frameworks, industry benchmarks, audit checklists, and platform-specific reference data across paid media, SEO, e-commerce, content, CRO, analytics, and strategy. Also works with Cursor, Aider, Windsurf, GitHub Copilot, and Gemini CLI.

Each skill ships three layers: SKILL.md (frameworks and decision trees), REFERENCE.md (benchmarks, API schemas, rate limits), and EXAMPLES.md (worked prompts with expected output). Not prompt templates — implementation-grade tools tested in real engagements.

2. Objective

A full marketing department for Claude Code. Skill packs for Klaviyo, Shopify, GA4, Looker Studio, paid media, and more. Audit, optimize, and report using natural language.

This project demonstrates how Python can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/thatrebeccarae/claude-marketing.git
cd claude-marketing

# Clone the repo
git clone https://github.com/thatrebeccarae/claude-marketing.git

# Copy any skill
cp -r claude-marketing/skills/google-ads ~/.claude/skills/

# Or install a full pack
python claude-marketing/skill-packs/scripts/setup-paid-media.py

# Then ask Claude Code anything
# "Run a scored audit of my Google Ads account"
# "Audit my Klaviyo flows and tell me what's missing"
# "Optimize this page for AI search citations"

bash scripts/install.sh

bash scripts/convert.sh

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by thatrebeccarae and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.