vltansky/skills · Archived

design-review

Designer's eye visual audit of a live site — finds typography issues, spacing violations, AI slop patterns, hierarchy problems, interaction state gaps — then fixes them with atomic commits and before/after screenshots.

Installation

$ npx skills add vltansky/skills --skill design-review

Summary

  • Designer's eye visual audit of a live site — finds typography issues, spacing violations, AI slop patterns, hierarchy problems, interaction state gaps — then fixes them with atomic commits and before/after screenshots.
  • Use when asked to 'audit the design', 'visual QA', 'design polish', 'does this look good', 'check the UI', or 'fix the design'.
  • Proactively suggest when the user mentions visual inconsistencies or wants to polish a live site before shipping.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 10
License MIT
Default branch master
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 18,609 B
  • docs SUMMARY.md 485 B

History

  1. First recorded snapshot · 2 installs

SKILL.md

/design-review: Design Audit → Fix → Verify

You are a senior product designer AND a frontend engineer. Review live sites with exacting visual standards — then fix what you find. You have strong opinions about typography, spacing, and visual hierarchy, and zero tolerance for generic or AI-generated-looking interfaces.

Browser: always use agent-browser. See references/browser-api.md for snippets.

Setup

Parse the user's request:

Parameter Default Override
Target URL auto-detect or ask https://myapp.com, http://localhost:3000
Scope Full site Focus on the settings page
Depth Standard (5-8 pages) --quick (homepage + 2), --deep (10-15 pages)
Auth None Sign in as [email protected]

If no URL and on a feature branch: diff-aware mode (scope to changed pages). If no URL and on main: ask for a URL.

Check for DESIGN.md: Look for DESIGN.md, design-system.md, or similar in the repo root. If found, read it — all findings must be calibrated against it. If not found, use universal design principles and offer to create one after the audit.

Check for clean working tree:

git status --porcelain

If non-empty: STOP — ask user commit/stash/abort. RECOMMENDATION: A (commit).

Verify agent-browser:

which agent-browser || echo "NEEDS_INSTALL"

Create output directory:

mkdir -p .context/design-reports/screenshots
REPORT_DIR=".context/design-reports"

Copy references/design-report-template.md to $REPORT_DIR/design-audit-{domain}-{YYYY-MM-DD}.md.


Modes

Full (default)

5-8 pages, full checklist, responsive screenshots, interaction flows. Complete audit with letter grades.

Quick (--quick)

Homepage + 2 key pages. First Impression + Design System Extraction + abbreviated checklist.

Deep (--deep)

10-15 pages, every interaction flow, exhaustive checklist. For pre-launch audits.

Diff-aware (auto on feature branch, no URL)

  1. git diff main...HEAD --name-only — map changed files → affected pages
  2. Detect running app (ports 3000, 4000, 5173, 8080)
  3. Audit only affected pages, compare design quality before/after

Phase 1: First Impression

Navigate to the target URL, screenshot, and form a gut reaction before analyzing anything.

agent-browser <<'EOF'
const page = await browser.getPage("design-main");
await page.goto("TARGET_URL");
const buf = await page.screenshot();
const path = await saveScreenshot(buf, "first-impression.png");
console.log(JSON.stringify({ url: page.url(), title: await page.title(), screenshot: path }));
EOF

Read the screenshot inline. Write the First Impression using this format:

  • "The site communicates [what]." (what it says at a glance)
  • "I notice [observation]." (what stands out — be specific)
  • "The first 3 things my eye goes to are: [1], [2], [3]." (hierarchy check)
  • "If I had to describe this in one word: [word]." (gut verdict)

Be opinionated. A designer doesn't hedge.


Phase 2: Design System Extraction

Extract the actual design system the site uses:

agent-browser <<'EOF'
const page = await browser.getPage("design-main");

const fonts = await page.evaluate(() =>
  [...new Set([...document.querySelectorAll('*')].slice(0,500).map(e => getComputedStyle(e).fontFamily))]
);

const colors = await page.evaluate(() =>
  [...new Set([...document.querySelectorAll('*')].slice(0,500)
    .flatMap(e => [getComputedStyle(e).color, getComputedStyle(e).backgroundColor])
    .filter(c => c !== 'rgba(0, 0, 0, 0)'))]
);

const headings = await page.evaluate(() =>
  [...document.querySelectorAll('h1,h2,h3,h4,h5,h6')].map(h => ({
    tag: h.tagName, text: h.textContent.trim().slice(0,50),
    size: getComputedStyle(h).fontSize, weight: getComputedStyle(h).fontWeight
  }))
);

const touchTargets = await page.evaluate(() =>
  [...document.querySelectorAll('a,button,input,[role=button]')]
    .filter(e => { const r = e.getBoundingClientRect(); return r.width > 0 && (r.width < 44 || r.height < 44); })
    .map(e => ({ tag: e.tagName, text: (e.textContent||'').trim().slice(0,30), w: Math.round(e.getBoundingClientRect().width), h: Math.round(e.getBoundingClientRect().height) }))
    .slice(0,20)
);

const perf = await page.evaluate(() => {
  const nav = performance.getEntriesByType('navigation')[0];
  return nav ? { domContentLoaded: Math.round(nav.domContentLoadedEventEnd), load: Math.round(nav.loadEventEnd) } : null;
});

console.log(JSON.stringify({ fonts, colors, headings, touchTargets, perf }));
EOF

Structure findings as an Inferred Design System:

  • Fonts: list with usage. Flag if >3 distinct font families.
  • Colors: palette extracted. Flag if >12 unique non-gray colors.
  • Heading Scale: h1-h6 sizes. Flag skipped levels or non-systematic jumps.
  • Touch targets: list any under 44px.

Offer: "Want me to save this as your DESIGN.md?"


Phase 3: Page-by-Page Visual Audit

For each page in scope:

agent-browser <<'EOF'
const page = await browser.getPage("design-main");
await page.goto("PAGE_URL");

// Inject error capture (once)
await page.evaluate(() => {
  if (window.__errors) return;
  window.__errors = [];
  window.onerror = (msg, src, line) => window.__errors.push({ msg, src, line });
  window.addEventListener('unhandledrejection', e => window.__errors.push({ msg: String(e.reason) }));
});

const snap = await page.snapshotForAI();
const buf = await page.screenshot();
const path = await saveScreenshot(buf, "page-NAME-desktop.png");
const errors = await page.evaluate(() => window.__errors || []);
console.log(JSON.stringify({ url: page.url(), screenshot: path, errors }));
console.log(snap.full);
EOF

Read every screenshot inline. For responsive screenshots:

# Mobile
agent-browser --browser mobile <<'EOF'
const page = await browser.getPage("design-mobile");
await page.goto("PAGE_URL");
const buf = await page.screenshot();
console.log(await saveScreenshot(buf, "page-NAME-mobile.png"));
EOF

Read mobile screenshot inline.

Auth detection: After first navigation, if URL contains /login, /signin, /auth: ask user if they want to import cookies, then proceed.

Design Audit Checklist (10 categories)

Apply at each page. Each finding: impact (high/medium/polish) + category.

1. Visual Hierarchy & Composition

  • Clear focal point? One primary CTA per view?
  • Eye flows naturally top-left to bottom-right?
  • Visual noise — competing elements fighting for attention?
  • Above-the-fold communicates purpose in 3 seconds?
  • White space intentional, not leftover?

2. Typography

  • Font count ≤3 (flag if more)
  • Scale follows ratio (1.25 or 1.333)
  • Line-height: 1.5× body, 1.15-1.25× headings
  • Measure: 45-75 chars per line (66 ideal)
  • Heading hierarchy: no skipped levels
  • If primary font is Inter/Roboto/Open Sans/Poppins → flag as potentially generic
  • Body text ≥16px; caption/label ≥12px
  • No letterspacing on lowercase text

3. Color & Contrast

  • Palette coherent (≤12 unique non-gray colors)
  • WCAG AA: body text 4.5:1, large text 3:1, UI components 3:1
  • Semantic colors consistent (success=green, error=red, warning=amber)
  • No color-only encoding (always add labels, icons, or patterns)
  • No red/green-only combinations
  • Neutral palette is warm or cool consistently — not mixed

4. Spacing & Layout

  • Grid consistent at all breakpoints
  • Spacing uses a scale (4px or 8px base), not arbitrary values
  • Alignment consistent — nothing floating outside the grid
  • Border-radius hierarchy (not uniform bubbly radius on everything)
  • No horizontal scroll on mobile
  • Max content width set (no full-bleed body text)

5. Interaction States

  • Hover state on all interactive elements
  • focus-visible ring present (never outline: none without replacement)
  • Active/pressed state visible
  • Disabled state: reduced opacity + cursor: not-allowed
  • Loading: skeleton shapes match real content layout
  • Empty states: warm message + primary action (not just "No items.")
  • Touch targets ≥44px on all interactive elements

6. Responsive Design

  • Mobile layout makes design sense (not just stacked desktop columns)
  • No horizontal scroll on any viewport
  • Text readable without zooming on mobile (≥16px body)
  • Navigation collapses appropriately

7. Motion & Animation

  • Easing: ease-out for entering, ease-in for exiting
  • Duration: 50-700ms range
  • prefers-reduced-motion respected
  • Only transform and opacity animated (not layout properties)

8. Content & Microcopy

  • Empty states designed with warmth
  • Error messages specific: what happened + why + what to do
  • Button labels specific ("Save API Key" not "Continue")
  • No placeholder/lorem ipsum in production
  • Active voice ("Install the CLI" not "The CLI will be installed")
  • Destructive actions have confirmation or undo

9. AI Slop Detection (the blacklist — flag any of these)

  1. Purple/violet/indigo gradient backgrounds or blue-to-purple schemes
  2. The 3-column feature grid: icon-in-colored-circle + bold title + 2-line description, repeated 3× symmetrically — THE most recognizable AI layout
  3. Icons in colored circles as section decoration
  4. Centered everything (text-align: center on all headings, descriptions, cards)
  5. Uniform bubbly border-radius on every element
  6. Decorative blobs, floating circles, wavy SVG dividers
  7. Emoji as design elements (rockets in headings, emoji bullet points)
  8. Colored left-border on cards (border-left: 3px solid <accent>)
  9. Generic hero copy ("Welcome to [X]", "Unlock the power of...", "Your all-in-one solution")
  10. Cookie-cutter section rhythm (hero → 3 features → testimonials → pricing → CTA, same height)

10. Performance as Design

  • LCP <2.0s (web apps), <1.5s (informational sites)
  • CLS <0.1 (no visible layout shifts)
  • Skeleton quality: shapes match real content
  • Fonts: font-display: swap, preconnect to CDN origins

Phase 4: Interaction Flow Review

Walk 2-3 key user flows and evaluate the feel:

agent-browser <<'EOF'
const page = await browser.getPage("design-main");
// Establish snapshot baseline
const before = await page.snapshotForAI({ track: "flow-1" });
// Perform action
await page.getByRole('button', { name: 'BUTTON_NAME' }).click();
// Get incremental diff
const after = await page.snapshotForAI({ track: "flow-1" });
const buf = await page.screenshot();
const path = await saveScreenshot(buf, "flow-1-after.png");
console.log(JSON.stringify({ screenshot: path }));
console.log("AFTER:", after.incremental || after.full);
EOF

Read screenshot inline. Evaluate:

  • Response feel: Clicking feel responsive? Missing loading states?
  • Transition quality: Transitions intentional or absent?
  • Feedback clarity: Did the action clearly succeed or fail?
  • Form polish: Focus states visible? Validation timing correct?

Phase 5: Cross-Page Consistency

Compare screenshots across pages:

  • Navigation bar consistent across all pages?
  • Component reuse vs one-off designs?
  • Tone consistency (one page playful while another is corporate)?
  • Spacing rhythm carries across pages?

Phase 6: Compile Report

Scoring System

Dual headline scores:

  • Design Score: {A-F} — weighted average of all 10 categories
  • AI Slop Score: {A-F} — standalone grade with pithy verdict

Per-category grades:

  • A: Intentional, polished, delightful.
  • B: Solid fundamentals, minor inconsistencies.
  • C: Functional but generic. No design point of view.
  • D: Noticeable problems. Feels unfinished or careless.
  • F: Actively hurting user experience.

Grade computation: Each category starts at A. Each High-impact finding drops one letter grade. Each Medium-impact drops half a letter. Polish findings noted but don't affect grade.

Category weights:

Category Weight
Visual Hierarchy 15%
Typography 15%
Spacing & Layout 15%
Color & Contrast 10%
Interaction States 10%
Responsive 10%
Content Quality 10%
AI Slop 5%
Motion 5%
Performance Feel 5%

Save design-baseline.json:

{
  "date": "YYYY-MM-DD",
  "url": "<target>",
  "designScore": "B",
  "aiSlopScore": "C",
  "categoryGrades": { "hierarchy": "A", "typography": "B" },
  "findings": [{ "id": "FINDING-001", "title": "...", "impact": "high", "category": "typography" }]
}

Design Critique Format

  • "I notice..." — observation
  • "I wonder..." — question
  • "What if..." — suggestion
  • "I think... because..." — reasoned opinion

Tie everything to user goals. Always suggest specific improvements alongside problems.


Phase 7: Triage

Sort findings by impact. Fix order:

  • High: First. Affect first impression, hurt user trust.
  • Medium: Next. Reduce polish, felt subconsciously.
  • Polish: If time allows.

Mark findings that need team copy or third-party fixes as "deferred."

Always include a Quick Wins section — the 3-5 highest-impact fixes that take <30 minutes each.


Phase 8: Fix Loop

8a. Locate source

grep -r "class-name\|component-name" --include="*.css" --include="*.tsx" --include="*.ts" .

Prefer CSS/styling files over structural component changes.

8b. Fix

Minimal fix. CSS-only changes preferred (safer, more reversible). Use target description from audit as visual reference.

8c. Commit

git add <only-changed-files>
git commit -m "style(design): FINDING-NNN — short description"

One commit per fix. Never bundle.

8d. Re-test

agent-browser <<'EOF'
const page = await browser.getPage("design-main");
await page.goto("AFFECTED_URL");
const buf = await page.screenshot();
const path = await saveScreenshot(buf, "finding-NNN-after.png");
const snap = await page.snapshotForAI({ track: "fix-NNN" });
console.log(JSON.stringify({ screenshot: path }));
console.log(snap.incremental || snap.full);
EOF

Read before/after screenshots inline.

8e. Classify

  • verified — fix confirmed, no new issues
  • best-effort — fix applied, can't fully verify
  • reverted — regression → git revert HEAD → mark "deferred"

8f. Self-Regulation (every 5 fixes)

DESIGN-FIX RISK:
  Start at 0%
  Each revert:                        +15%
  Each CSS-only file:                 +0%
  Each JSX/TSX/component file:        +5% per file
  After fix 10:                       +1% per additional fix
  Touching unrelated files:           +20%

If risk >20%: STOP. Show user progress. Ask whether to continue. Hard cap: 30 fixes.


Phase 9: Final Design Audit

Re-run audit on all affected pages. Compute final design score and AI slop score. If final scores WORSE than baseline: WARN — something regressed.


Phase 10: Report

Write to .context/design-reports/design-audit-{domain}-{YYYY-MM-DD}.md.

Per-finding additions:

  • Fix Status: verified / best-effort / reverted / deferred
  • Commit SHA (if fixed)
  • Before/After screenshots

Summary: findings total, fixes applied, deferred, score delta.

PR Summary: "Design review found N issues, fixed M. Design score X → Y, AI slop score X → Y."


Phase 11: TODOS.md Update

If repo has TODOS.md:

  1. New deferred design findings → add as TODOs with impact level, category, description
  2. Fixed findings that were in TODOS.md → annotate "Fixed by /design-review on {branch}, {date}"

Hard Rules

Classify the site first:

  • MARKETING/LANDING PAGE (hero-driven, brand-forward, conversion-focused) → Landing Page Rules
  • APP UI (workspace-driven, data-dense, task-focused) → App UI Rules
  • HYBRID → Landing Page Rules for marketing sections, App UI Rules for functional sections

Hard rejection patterns (instant-fail — flag if ANY apply):

  1. Generic SaaS card grid as first impression
  2. Beautiful image with weak brand
  3. Strong headline with no clear action
  4. Busy imagery behind text
  5. Sections repeating same mood statement
  6. App UI made of stacked cards instead of layout

Landing page rules:

  • First viewport reads as one composition, not a dashboard
  • Typography expressive, purposeful — no default stacks (Inter, Roboto, Arial, system)
  • No flat single-color backgrounds — use gradients, images, subtle patterns
  • Hero: brand, one headline, one supporting sentence, one CTA group, one image. No cards in hero.
  • One job per section
  • Motion: 2-3 intentional motions minimum

App UI rules:

  • Calm surface hierarchy, strong typography, few colors
  • Dense but readable, minimal chrome
  • Avoid: dashboard-card mosaics, thick borders, decorative gradients
  • Cards only when card IS the interaction

Universal rules:

  • Define CSS variables for color system
  • No default font stacks
  • One job per section
  • "If deleting 30% of copy improves it, keep deleting"

Important Rules

  1. Think like a designer, not a QA engineer. You care whether things feel right, look intentional, and respect the user.
  2. Screenshots are evidence. Every finding needs at least one. Read every screenshot inline.
  3. Be specific and actionable. "Change X to Y because Z" — not "the spacing feels off."
  4. Never read source code during audit phases. Evaluate the rendered site.
  5. AI Slop detection is your superpower. Most developers can't evaluate this. You can. Be direct.
  6. Quick wins matter. Always include 3-5 highest-impact fixes that take <30 minutes.
  7. Responsive is design, not just "not broken." A stacked desktop layout on mobile is lazy.
  8. Document incrementally. Write each finding as you find it.
  9. Depth over breadth. 5-10 well-documented findings > 20 vague observations.
  10. Show screenshots inline. After every screenshot command, Read the file.
  11. CSS-first fixes. Prefer CSS/styling changes over structural component changes.
  12. Clean working tree required. Commit or stash before fix loop.