Claude design critic
Skill bg-szy/TOP-SKILLS/skills/claude-skills/claude-design-critic
Audit a website or UI and de-AI it — find the patterns that make it look template-generated (in both design and copy) and return specific, prioritized fixes that push it toward editorial, premium, human-crafted. Reviews layout, color, type, spacing, motion, accessibility, AND the words. Use after building or generating any frontend, or when a site looks "fine but generic" and you can't say why.From its SKILL.md
npx -y skills add bg-szy/TOP-SKILLS --skill claude-design-criticAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
4.3 KB, 882 tokens by cl100k_base, as published. Nobody here has run it
Claude Design Critic
Some sites are technically fine and still scream "an AI made this in one shot." This skill names exactly why and tells you what to change. It reviews the design and the copy, because generated-looking text gives a build away as fast as a centered hero and a purple gradient.
Use it as the finishing pass on claude-landing-composer output, on any vibe-coded frontend, or on a live site that feels generic. It pairs with the design tokens from claude-design-system-architect (audit against them when they exist).
Step 1 — Take in the target
A URL (WebFetch + screenshot), a local project (read the components/styles), or pasted code. Establish: what is this page for, who's the audience, and what's the one action it wants? A critique without the goal is just opinion.
Step 2 — Audit across dimensions
Go dimension by dimension and flag concrete instances, not vibes:
Layout & composition
- Every section a centered stack? Three-identical-cards reflex? Predictable hero → cards → CTA with no rhythm? Symmetry where asymmetry would feel crafted? Cramped or uniform whitespace?
Color
- Purple or default-AI gradients (the dead giveaway). Too many competing accents. Off-brand or arbitrary hexes not mapped to tokens. Contrast failures (check AA).
Type
- Default system sans at 2–3 sizes. No real modular scale. Weak hierarchy. Generic pairing. Line length / line-height that reads like a default.
Spacing & detail
- Uniform padding everywhere. No optical adjustments. Borders/shadows that are all identical or all heavy.
Motion
- The same fade-up on every element. Motion that decorates instead of directs.
prefers-reduced-motionignored.
Iconography & assets
- Emoji used as UI (replace with Lucide/Heroicons). Generic stock imagery. Placeholder logos left in.
Copy (review this as hard as the design)
- AI tells: "elevate", "unlock", "seamless", "empower", "in today's fast-paced world", "we're thrilled to", "the power of", relentless em-dashes, every sentence a tricolon.
- Generic value props ("the best way to X"), hedged language, "Learn More" buttons, "Welcome to {Product}" heroes, filler microcopy.
- Flag the exact lines and rewrite the worst offenders.
Accessibility & semantics
- Heading order, alt text, focus states, semantic landmarks, tap-target sizes.
Step 3 — Report with prioritized, specific fixes
# Design Critique — {target}
Generated: {timestamp} · Goal: {…} · Verdict: {SHIP / FIX FIRST / REBUILD SECTION}
## The 30-second read
The 2–3 things making this look generated, in plain language.
## Findings (prioritized: High → Low)
| # | Dimension | What | Where (selector/line/section) | Why it reads as AI | Fix |
## Copy rewrites
"{exact current line}" → "{rewritten line}"
## Quick wins (under 30 min, high impact)
## Bigger moves (worth the time)
## What's already good (keep it)
Be specific enough that someone could apply every fix without asking a question. Point to the file/section/line. Where tokens exist, cite the token that should have been used.
Step 4 — Offer to apply
Offer to implement the high-priority fixes directly (edit the components/copy) and re-audit, or hand a rebuild to claude-landing-composer.
House standard
Premium = intentional layout rhythm, restrained palette, real type scale, generous whitespace, motion with purpose, human copy. Generated = centered everything, rainbow/purple gradients, default sans, uniform padding, fade-up-on-all, and "elevate your workflow." Push every target from the second toward the first. Never purple, never emoji-as-UI.
Guardrails recap
Critique design AND copy · every finding is specific and located · cite tokens where they exist · prioritize by impact · offer to apply, then re-audit.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most context ai engineering skills give in 882 tokens
Counted across 1,193 of the 1,976 authors here whose files we hold, read 2026-08-07
- Dispatch a fresh implementer subagent per taskin 48 of 1193, across 19 files
- Dispatch a final code reviewer after all tasksin 33 of 1193, across 8 files
- Provide full task text to the subagentin 30 of 1193, across 9 files
- Review spec compliance before code qualityin 27 of 1193, across 10 files
- Make the hook script executablein 26 of 1193, across 8 files
- Re-snapshot after navigation or DOM changesin 25 of 1193, across 19 files
- Read files before editing themin 22 of 1193, across 11 files
- Answer subagent questions before proceedingin 22 of 1193, across 7 files
- Mark task complete in TodoWrite after approvalin 22 of 1193, across 6 files
- Merge hook into existing settingsin 21 of 1193, across 3 files
- Ask if installation is global or projectin 20 of 1193, across 2 files
- Copy the hook script to target locationin 20 of 1193, across 2 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.