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imMamdouhaboammar/README.md

Mamdouh Aboammar

vibe coder, conversion copywriter who ships code, agentic tooling for marketing work

Mamdouh Aboammar website Mamdouh Aboammar on LinkedIn Mamdouh Aboammar on X Follow imMamdouhaboammar



vibe coder written as an html tag no slop flag LGTM means Looks Good To Marketing README dot me



Mamdouh Aboammar is a vibe coder and conversion copywriter who builds agentic tooling for marketing work.

Agent governance, frontend quality gates, PR-only coding workflows, and Arabic conversion copy systems.
Every repository here started as a manual process that wasted enough of my week to be worth automating.


Real friction Reusable systems Public proof



Public systems

Memory, trust boundaries, and failure lessons for Claude Code, Codex, Cursor, and Gemini CLI. Keeps an agent inside the rules you set.

23 design gates that run before an agent writes UI code. Generic layouts get blocked at the plan stage, well before review.

One CLI that routes bounded coding work across local agents, with a curated integration catalog and a full shipping chain.

Turns ChatGPT Web into a PR-only GitHub agent. It inspects a repo, implements one focused change, opens a reviewable PR, and stops there.

Research, drafting, and copy-audit pipeline tuned for MENA markets and Arabic conversion work.

Field notes, prompts, and routes for building vibe-coded apps with less guesswork and more reusable parts.

Runs a hardening playbook you own, validating each step and keeping a rollback path open.

Small animated 2.5D assets for developer docs and READMEs. Accessible by default, no build step.


Problem before product

The starting point is repeated friction, never a tool category.


Context before automation

The system knows the audience, the repo, the rules, and the evidence before it acts.


Proof before claims

A test, a report, a PR, or a measured result carries the conclusion.


Judgment stays close

Agents prepare, inspect, and verify. People own the consequential calls.


Working with

AGENTS AND MODELS

Claude Claude Code Codex Model Context Protocol SKILL.sh Cursor GitHub Copilot

BUILD AND RUNTIME

Bun Node.js Python FastAPI TypeScript JavaScript VS Code

PIPES AND DATA

n8n Supabase PostgreSQL GitHub Actions Vercel Docker

MARKETING SURFACE

Agentic Marketing Meta Ads Google Ads Google Analytics 4



Current focus


Build log and token cost

I keep a tab on what agent-assisted building costs, because the bill is part of the engineering decision.

Commits Merges excluded Lines changed Estimated tokens Estimated spend
TBD TBD TBD TBD TBD

git push origin taste



Open to conversations about agent tooling, conversion systems, and MENA market work.
Site · LinkedIn · X · Instagram

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  1. agent-kernel agent-kernel Public

    Local governance, memory, failure lessons, and architecture guardrails for Claude Code, Codex, Cursor, Gemini CLI, and other AI coding agents.

    JavaScript 1 2

  2. delegate-team delegate-team Public

    Agentic engineering supersystem — one CLI to run the full /mavis-ship chain. Bundles 38 curated integrations + 1890 skills + the v2.7.1 arsenal (orchestrate.py + catalog.py + autopilot + mavis-ship…

    Python 4

  3. dokion dokion Public

    Cross-agent security & quality hardening engine for Claude Code, Codex, and Gemini CLI. Enforces user-authored playbooks, verifiable evidence gates, and auditable readiness reports.

    TypeScript 2

  4. get-fable get-fable Public

    Make the model you already use work more like a frontier model with better planning, persistent context, skills, hooks, failure handling, and verification

    JavaScript 1

  5. linkedin-animated-infographics linkedin-animated-infographics Public

    Claude Skill & CLI pipeline for creating, designing, and rendering deterministic, lightweight looping GIF infographics for LinkedIn (RTL & Arabic supported).

    Python 2

  6. riqor riqor Public

    Evidence gates and session continuity for AI coding agents

    TypeScript 1