kappaemme-git/mengtofrontend — explained in plain English
Analysis updated 2026-05-18
Ask Codex to audit a landing page against a design critique checklist.
Combine this skill with a page-building skill to build and critique in one request.
Catch weak typography, vague copy, and missing hover effects before shipping.
Check whether a page holds up well on mobile screens.
| kappaemme-git/mengtofrontend | m2station/m2_git_diff | rosalina7515/ui-modernizer | |
|---|---|---|---|
| Stars | 30 | 30 | 30 |
| Language | JavaScript | JavaScript | JavaScript |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 2/5 | 2/5 |
| Audience | vibe coder | developer | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
MengToFrontend is a skill for Codex, an AI coding assistant, that helps review and improve landing pages before they go live. The skill packages up a design critique process inspired by Meng To, a designer known for detailed frontend feedback, and turns it into a checklist your AI assistant can follow. When you invoke the skill, it looks at a landing page and flags things that commonly make AI-generated designs feel generic or unfinished. That includes typography choices that lack weight or personality, poor letter spacing, images that look fake or have visible AI artifacts, copy that is vague rather than specific, missing small animations or hover effects, and layouts that do not hold up well on mobile screens. The install is a single command that places the skill file into a local folder where Codex looks for skills. After that you reference it by name in a chat prompt, asking Codex to audit a page or combine it with another skill to both build and immediately critique the result. The README shows a combined example where you ask for a restaurant landing page and then apply the critique in the same request. The project is a small utility, with local development steps limited to checking the package contents and running the entry script. The README does not describe a license.
A Codex AI assistant skill that reviews landing pages against a design-critique checklist to catch generic, unfinished-looking AI designs.
Mainly JavaScript. The stack also includes JavaScript.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.