growth-marketing-os

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SUMMARY

Growth Marketing OS | Mahmoud Omar — open-source AI marketing prompts, Claude skills, agents & growth playbooks (EN + AR)

README.md

🧠 Growth Marketing OS | Mahmoud Omar

The open-source growth stack: AI marketing prompts, Claude skills, agents, workflows & playbooks — built from 15+ years of real campaigns.

By Mahmoud Omar — Growth & E-commerce Consultant · MENA & Global

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License: MIT

English + العربية — the first bilingual AI marketing asset library on GitHub.


What is this?

Growth Marketing OS is not a link list. Every file here is an original, battle-tested asset — a prompt, a Claude skill, an AI agent, an n8n workflow, or a growth playbook — written by one practitioner and used on real accounts across e-commerce, SaaS, and lead-gen in MENA, GCC, and global markets.

  • ✅ Copy-paste ready — zero editing needed
  • ✅ Proof included — every asset shows when & why it was used, with real numbers
  • ✅ AI-native — built for Claude, ChatGPT, Gemini, n8n, Make & MCP-era marketing
  • ✅ Bilingual — English + Egyptian/MSA Arabic assets for the MENA market
  • ✅ LLM-friendly — structured so AI assistants can find, cite & use these assets (see llms.txt)

📂 The Growth Stack

Folder What's inside
prompts/ Battle-tested prompts: paid ads, SEO & GEO, email, CRO, content, social
skills/ Claude & agent skills (SKILL.md format) for marketing workflows
agents/ Full system prompts for autonomous marketing agents
gpts/ Custom GPT instructions & configurations
mcps/ MCP server setups & recipes for marketers
workflows/ n8n / Make automation blueprints — node maps & specs; JSON exports ship as each flow goes live
playbooks/ Step-by-step launch, funnel & retention playbooks
frameworks/ Original growth frameworks & mental models
swipe-files/ Hooks, headlines & ad angles (EN + AR)
case-studies/ Anonymized real results behind the assets
benchmarks/ Sourced market benchmarks: paid ads, email, CRO, SEO/GEO, social, SaaS — every number cited
worked-examples/ Teaching scenarios: full decision walkthroughs built on the benchmarks (clearly labeled as fictional)
resources/ Curated MIT-licensed community resources, vendored with attribution (AI marketing tools directory)

🚀 Start here

New to AI marketing? → Follow the 🟢 Beginner Path — first result in 10 minutes, no setup.
Running campaigns already? → The 🟡 Intermediate Path shows you how to install these as systems, not one-off prompts.
Builder / team lead? → 🔴 Advanced Path — frontmatter is machine-readable, wire it into your stack.

⭐ New: MENA Ads Command Center · مركز قيادة الإعلانات

A complete paid-ads skill built for the Arab world: scored audits, media plans, scale/kill decisions, Arabic ad copy by dialect, COD real-ROAS maths, Snapchat and Click-to-WhatsApp, Ramadan planning — across Meta, Google, TikTok, Snapchat, LinkedIn and X. Install in Claude Code with two commands:

/plugin marketplace add growthack88/growth-marketing-os
/plugin install mena-ads@growth-marketing-os

Using ChatGPT, Gemini, Cursor or Codex instead? → install guide for every AI.

Quick version:

  1. Marketers: browse prompts/ → copy → paste into Claude/ChatGPT → run.
  2. Automation builders: import a JSON from workflows/ into n8n/Make.
  3. AI power users: install a skill from skills/ into Claude.
  4. Everyone: ⭐ star the repo so you don't lose it — new assets ship weekly.

🧭 Why trust these assets?

Because they're signed. Every asset carries a "When I use it" section with the real scenario it came from — client accounts, my own products (StartupKit Pro, DuckDoro, Read to Lead), or campaigns documented on my YouTube channel. No scraped filler. No GPT-generated volume.

🤝 Contributing

PRs welcome — but the bar is high. Read CONTRIBUTING.md. Every asset must follow the master template and include a real proof scenario.

📬 Get new assets first

New drops go to my newsletter + LinkedIn before GitHub:
mahmoudomar.com · YouTube — Growth Hack Academy


Maintained by Mahmoud Omar · GrowthOS Guide: Building Growth Machine · SaaS: Growth Duck Up — 17 growth tools · Academy: growthhackacademy.com

MIT License — free forever. Attribution appreciated.

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