ConardLi

ConardLi / web-design-skill

Public

An AI agent skill that transforms AI-generated web pages from "functional" to "stunning."(Inspired by Claude Design)

45
11
100% credibility
Found Apr 22, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
CSS
AI Summary

A portable guide that upgrades AI tools to generate visually striking web pages by embedding professional design rules and workflows.

How It Works

1
🔍 Discover the skill

You stumble upon a free guide that teaches AI helpers to craft eye-catching websites instead of plain ones.

2
👀 Check out examples

You peek at before-and-after demos showing how the same request turns generic pages into stunning designs.

3
📂 Add it to your AI tool

Simply copy the ready-made files into your AI helper's project folder and it's set up.

4
💭 Dream up a website

Tell your AI to build a homepage, portfolio, or interactive demo with a simple description.

5
🎨 See the magic happen

Your AI first plans colors, fonts, and layout, then delivers a polished, professional-looking page.

🚀 Build beautiful sites anytime

Now every web idea you have becomes a gorgeous, expert-level creation with ease.

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Star Growth

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AI-Generated Review

What is web-design-skill?

This repo delivers a reusable AI agent skill—a structured Markdown prompt—for coding agents like Claude Code, Cursor, or GitHub Copilot variants, turning bland, functional AI-generated web pages into visually polished ones. Drop it into your project's skills folder (e.g., .agents/skills/), and it enforces anti-cliché rules, oklch color systems, curated font pairings, and a six-step workflow for landing pages, prototypes, or dashboards. Inspired by Anthropic's Claude Design, it outputs stunning HTML/CSS/JS without the generic Inter-blue-emoji trap.

Why is it gaining traction?

It stands out by portably extracting Claude Design's ~420-line prompt into a lightweight, customizable skill that works across agent github claude, agent github copilot vscode, or agent skills anthropic setups—no lock-in. Demos vividly contrast "before" (neon gradients, fake stats) and "after" (restrained palettes, editorial layouts), proving 85-to-95-point jumps in polish. Developers hook on the v0 draft step for quick feedback and the pre-validated color/font starters that dodge AI slop.

Who should use this?

Frontend devs prototyping marketing sites or interactive demos with agent github copilot cli or agent skills vscode. UX designers feeding agent github code for slide decks/data viz in Cursor. Teams building agent skills library or agent skills repo who want agent skills examples beyond basics, like web design skill set upgrades vs mcp tools.

Verdict

Grab it if you're deep in agent github hq experiments—solid docs, bilingual READMEs, and MIT license make setup trivial, with demos ready to fork. At 45 stars and 1.0% credibility, it's early but battle-tested via Claude Design origins; test on your next agent skills io prompt for instant wins.

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