Aaron Marketing Skills

120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on one contract, with 8 auditor gates: TALE · CORE-EEAT · CITE · ECHO · SEND · ROAS · STAR · RAMP.

Digital Marketing & SEOPythonApache-2.0

Abstract

Aaron Marketing Skills is an open-source Digital Marketing & SEO project. 120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on one contract, with 8 auditor gates: TALE · CORE-EEAT · CITE · ECHO · SEND · ROAS · STAR · RAMP. An AI marketing staff you install, not prompt — 120 agent skills as one plugin, as portable skills on 70+ hosts, or as an 8-bot AI Staff on Grok Bot and Hermes Bot Mode. Skills and commands are plain Markdown; small Bash/Python-stdlib runtimes provide hooks, validation, scoring, registry events, connectors, and CI (no pip). It is built using Python. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

An AI marketing staff you install, not prompt — 120 agent skills as one plugin, as portable skills on 70+ hosts, or as an 8-bot AI Staff on Grok Bot and Hermes Bot Mode. Skills and commands are plain Markdown; small Bash/Python-stdlib runtimes provide hooks, validation, scoring, registry events, connectors, and CI (no pip). Every skill runs at Tier 1 with data you provide.

2. Objective

120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on one contract, with 8 auditor gates: TALE · CORE-EEAT · CITE · ECHO · SEND · ROAS · STAR · RAMP.

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

4. Technology Stack

Python

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/aaron-he-zhu/aaron-marketing-skills.git
cd aaron-marketing-skills

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 aaron-he-zhu and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

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