I built skill.md file to stop AI from Generic UI SLOP
Here's the problem. Every AI coding agent (Cursor, Codex, Claude Code, whatever) is trained on millions of websites. Most of those websites are average. So when you prompt "build me a landing page," the model gives you the average of everything it's seen: a centered hero, a purple gradient, three equal feature cards, Inter font, ease-in-out , done. It's not broken. It's just mediocre by default.…
AI coding assistants like Cursor, Codex, and Claude Code are trained on vast amounts of website data, resulting in mediocre default designs. 17-year-old reporter Yu-369 was tired of this mediocrity in every conversation, so they created VibeCurb, a set of strict constraint skill files to force AI agents to think about design before coding.
VibeCurb's approach consists of a four-phase pipeline: Design Read, Quality Gate, Precise Build, and Visual Diff. During Design Read, the AI agent extracts design signals from a reference image, existing codebase, or brief, without writing any code. The Quality Gate ensures the extraction passes before generating anything, checking if the agent understands the design direction.
Precise Build generates code against the extraction, not the model's generic idea of a website. Visual Diff compares the output to the reference using PASS/FAIL tables across composition, typography, color, motion, and responsiveness, rejecting any drift. The skills in VibeCurb constrain specific problem spaces, such as Awwwards hero sections, pricing tables, motion systems, and pixel-perfect code replicas.
Each skill has its own build sequence and enforces strict constraints, ensuring the agent can't skip ahead and must pass each phase. VibeCurb is compatible with multiple AI assistants and can be installed via CLI or copied manually into conversations. By using constraints instead of prompts, VibeCurb provides verifiable verification, ensuring the AI doesn't default to the average design.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
