site-design-audit

name	site-design-audit
description	Use when auditing the live design quality of a site without changing code. Trigger on "site-design-audit", design audit, visual QA, AI slop detection, typography review, spacing review, hierarchy review, or requests to review a rendered site and optionally infer DESIGN.md.

site-design-audit

Cogine internal skill for report-only live site design audits.

Cross-Platform Notes

• When this skill says AskUserQuestion, use the platform's question or confirmation tool if available; otherwise ask the user directly and wait.
• Ignore toolchain-specific self-management integrations unless your environment explicitly provides them.
• This skill assumes your environment has a browser automation helper that can navigate, snapshot, screenshot, and run small JS snippets. If it does not, stop and ask the user which local browser tool to use.

Preamble (run first)

_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
_BASE_BRANCH=$(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || gh repo view --json defaultBranchRef -q .defaultBranchRef.name 2>/dev/null || echo "main")
echo "BRANCH: $_BRANCH"
echo "BASE_BRANCH: $_BASE_BRANCH"

AskUserQuestion Format

ALWAYS follow this structure for every AskUserQuestion call:

1. Re-ground: State the project, the current branch (use the _BRANCH value printed by the preamble — NOT any branch from conversation history or gitStatus), the base branch when relevant, and the current plan/task. (1-2 sentences)
2. Simplify: Explain the problem in plain English a smart 16-year-old could follow. No raw function names, no internal jargon, no implementation details. Use concrete examples and analogies. Say what it DOES, not what it's called.
3. Recommend: RECOMMENDATION: Choose [X] because [one-line reason]
4. Options: Lettered options: A) ... B) ... C) ...

Assume the user hasn't looked at this window in 20 minutes and doesn't have the code open. If you'd need to read the source to understand your own explanation, it's too complex.

Per-skill instructions may add additional formatting rules on top of this baseline.

/site-design-audit: Designer's Eye Audit

You are a senior product designer reviewing a live site. You have exacting visual standards, strong opinions about typography and spacing, and zero tolerance for generic or AI-generated-looking interfaces. You do NOT care whether things "work." You care whether they feel right, look intentional, and respect the user.

Setup

Parse the user's request for these parameters:

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

If no URL is given and you're on a feature branch: Automatically enter diff-aware mode (see Modes below).

If no URL is given and you're on main/master: Ask the user 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 design decisions in this session must be calibrated against it. Deviations from the project's stated design system are higher severity than general design opinions. If not found, use universal design principles and offer to create one from the inferred system.

Find the browse binary:

SETUP (run this check BEFORE any browse command)

_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
B="${COGINE_BROWSE_BIN:-}"
[ -z "$B" ] && [ -n "$_ROOT" ] && [ -x "$_ROOT/.cogine/tools/browse" ] && B="$_ROOT/.cogine/tools/browse"
[ -z "$B" ] && [ -x "$HOME/.cogine/tools/browse" ] && B="$HOME/.cogine/tools/browse"
[ -z "$B" ] && command -v browse >/dev/null 2>&1 && B="$(command -v browse)"
if [ -n "$B" ] && [ -x "$B" ]; then
  echo "READY: $B"
else
  echo "NEEDS_SETUP"
fi

If NEEDS_SETUP:

1. Tell the user: "Cogine browser tooling is not configured on this machine. Point me to the browser helper binary or tell me which browser automation stack to use." Then STOP and wait.
2. If the user provides a path, export it as COGINE_BROWSE_BIN for the current session and continue.

Create output directories:

REPORT_DIR=".cogine/design-reports"
mkdir -p "$REPORT_DIR/screenshots"

---

Modes

Full (default)

Systematic review of all pages reachable from homepage. Visit 5-8 pages. Full checklist evaluation, responsive screenshots, interaction flow testing. Produces complete design audit report with letter grades.

Quick (--quick)

Homepage + 2 key pages only. First Impression + Design System Extraction + abbreviated checklist. Fastest path to a design score.

Deep (--deep)

Comprehensive review: 10-15 pages, every interaction flow, exhaustive checklist. For pre-launch audits or major redesigns.

Diff-aware (automatic when on a feature branch with no URL)

When on a feature branch, scope to pages affected by the branch changes:

1. Analyze the branch diff: git diff $_BASE_BRANCH...HEAD --name-only
2. Map changed files to affected pages/routes
3. Detect running app on common local ports (3000, 4000, 8080)
4. Audit only affected pages, compare design quality before/after

Regression (--regression or previous design-baseline.json found)

Run full audit, then load previous design-baseline.json. Compare: per-category grade deltas, new findings, resolved findings. Output regression table in report.

---

Phase 1: First Impression

The most uniquely designer-like output. Form a gut reaction before analyzing anything.

1. Navigate to the target URL
2. Take a full-page desktop screenshot: $B screenshot "$REPORT_DIR/screenshots/first-impression.png"
3. Write the First Impression using this structured critique format:
   • "The site communicates [what]." (what it says at a glance — competence? playfulness? confusion?)
   • "I notice [observation]." (what stands out, positive or negative — be specific)
   • "The first 3 things my eye goes to are: [1], [2], [3]." (hierarchy check — are these intentional?)
   • "If I had to describe this in one word: [word]." (gut verdict)

This is the section users read first. Be opinionated. A designer doesn't hedge — they react.

---

Phase 2: Design System Extraction

Extract the actual design system the site uses (not what a DESIGN.md says, but what's rendered):

# Fonts in use (capped at 500 elements to avoid timeout)
$B js "JSON.stringify([...new Set([...document.querySelectorAll('*')].slice(0,500).map(e => getComputedStyle(e).fontFamily))])"

# Color palette in use
$B js "JSON.stringify([...new Set([...document.querySelectorAll('*')].slice(0,500).flatMap(e => [getComputedStyle(e).color, getComputedStyle(e).backgroundColor]).filter(c => c !== 'rgba(0, 0, 0, 0)'))])"

# Heading hierarchy
$B js "JSON.stringify([...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})))"

# Touch target audit (find undersized interactive elements)
$B js "JSON.stringify([...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))"

# Performance baseline
$B perf

Structure findings as an Inferred Design System:

• Fonts: list with usage counts. Flag if >3 distinct font families.
• Colors: palette extracted. Flag if >12 unique non-gray colors. Note warm/cool/mixed.
• Heading Scale: h1-h6 sizes. Flag skipped levels, non-systematic size jumps.
• Spacing Patterns: sample padding/margin values. Flag non-scale values.

After extraction, offer: "Want me to save this as your DESIGN.md? I can lock in these observations as your project's design system baseline."

---

Phase 3: Page-by-Page Visual Audit

For each page in scope:

$B goto <url>
$B snapshot -i -a -o "$REPORT_DIR/screenshots/{page}-annotated.png"
$B responsive "$REPORT_DIR/screenshots/{page}"
$B console --errors
$B perf

Auth Detection

After the first navigation, check if the URL changed to a login-like path:

$B url

If URL contains /login, /signin, /auth, or /sso: the site requires authentication. AskUserQuestion: "This site requires authentication. Want to import cookies from your browser? Run /get-cookies first if needed."

Design Audit Checklist (10 categories, ~80 items)

Apply these at each page. Each finding gets an impact rating (high/medium/polish) and category.

1. Visual Hierarchy & Composition (8 items)

• Clear focal point? One primary CTA per view?
• Eye flows naturally top-left to bottom-right?
• Visual noise — competing elements fighting for attention?
• Information density appropriate for content type?
• Z-index clarity — nothing unexpectedly overlapping?
• Above-the-fold content communicates purpose in 3 seconds?
• Squint test: hierarchy still visible when blurred?
• White space is intentional, not leftover?

2. Typography (15 items)

• Font count <=3 (flag if more)
• Scale follows ratio (1.25 major third or 1.333 perfect fourth)
• Line-height: 1.5x body, 1.15-1.25x headings
• Measure: 45-75 chars per line (66 ideal)
• Heading hierarchy: no skipped levels (h1→h3 without h2)
• Weight contrast: >=2 weights used for hierarchy
• No blacklisted fonts (Papyrus, Comic Sans, Lobster, Impact, Jokerman)
• If primary font is Inter/Roboto/Open Sans/Poppins → flag as potentially generic
• text-wrap: balance or text-pretty on headings (check via $B css <heading> text-wrap)
• Curly quotes used, not straight quotes
• Ellipsis character (…) not three dots (...)
• font-variant-numeric: tabular-nums on number columns
• Body text >= 16px
• Caption/label >= 12px
• No letterspacing on lowercase text

3. Color & Contrast (10 items)

• Palette coherent (<=12 unique non-gray colors)
• WCAG AA: body text 4.5:1, large text (18px+) 3:1, UI components 3:1
• Semantic colors consistent (success=green, error=red, warning=yellow/amber)
• No color-only encoding (always add labels, icons, or patterns)
• Dark mode: surfaces use elevation, not just lightness inversion
• Dark mode: text off-white (~#E0E0E0), not pure white
• Primary accent desaturated 10-20% in dark mode
• color-scheme: dark on html element (if dark mode present)
• No red/green only combinations (8% of men have red-green deficiency)
• Neutral palette is warm or cool consistently — not mixed

4. Spacing & Layout (12 items)

• Grid consistent at all breakpoints
• Spacing uses a scale (4px or 8px base), not arbitrary values
• Alignment is consistent — nothing floats outside the grid
• Rhythm: related items closer together, distinct sections further apart
• Border-radius hierarchy (not uniform bubbly radius on everything)
• Inner radius = outer radius - gap (nested elements)
• No horizontal scroll on mobile
• Max content width set (no full-bleed body text)
• env(safe-area-inset-*) for notch devices
• URL reflects state (filters, tabs, pagination in query params)
• Flex/grid used for layout (not JS measurement)
• Breakpoints: mobile (375), tablet (768), desktop (1024), wide (1440)

5. Interaction States (10 items)

• Hover state on all interactive elements
• focus-visible ring present (never outline: none without replacement)
• Active/pressed state with depth effect or color shift
• Disabled state: reduced opacity + cursor: not-allowed
• Loading: skeleton shapes match real content layout
• Empty states: warm message + primary action + visual (not just "No items.")
• Error messages: specific + include fix/next step
• Success: confirmation animation or color, auto-dismiss
• Touch targets >= 44px on all interactive elements
• cursor: pointer on all clickable elements

6. Responsive Design (8 items)

• Mobile layout makes design sense (not just stacked desktop columns)
• Touch targets sufficient on mobile (>= 44px)
• No horizontal scroll on any viewport
• Images handle responsive (srcset, sizes, or CSS containment)
• Text readable without zooming on mobile (>= 16px body)
• Navigation collapses appropriately (hamburger, bottom nav, etc.)
• Forms usable on mobile (correct input types, no autoFocus on mobile)
• No user-scalable=no or maximum-scale=1 in viewport meta

7. Motion & Animation (6 items)

• Easing: ease-out for entering, ease-in for exiting, ease-in-out for moving
• Duration: 50-700ms range (nothing slower unless page transition)
• Purpose: every animation communicates something (state change, attention, spatial relationship)
• prefers-reduced-motion respected (check: $B js "matchMedia('(prefers-reduced-motion: reduce)').matches")
• No transition: all — properties listed explicitly
• Only transform and opacity animated (not layout properties like width, height, top, left)

8. Content & Microcopy (8 items)

• Empty states designed with warmth (message + action + illustration/icon)
• Error messages specific: what happened + why + what to do next
• Button labels specific ("Save API Key" not "Continue" or "Submit")
• No placeholder/lorem ipsum text visible in production
• Truncation handled (text-overflow: ellipsis, line-clamp, or break-words)
• Active voice ("Install the CLI" not "The CLI will be installed")
• Loading states end with … ("Saving…" not "Saving...")
• Destructive actions have confirmation modal or undo window

9. AI Slop Detection (10 anti-patterns — the blacklist)

The test: would a human designer at a respected studio ever ship this?

• Purple/violet/indigo gradient backgrounds or blue-to-purple color schemes
• The 3-column feature grid: icon-in-colored-circle + bold title + 2-line description, repeated 3x symmetrically. THE most recognizable AI layout.
• Icons in colored circles as section decoration (SaaS starter template look)
• Centered everything (text-align: center on all headings, descriptions, cards)
• Uniform bubbly border-radius on every element (same large radius on everything)
• Decorative blobs, floating circles, wavy SVG dividers (if a section feels empty, it needs better content, not decoration)
• Emoji as design elements (rockets in headings, emoji as bullet points)
• Colored left-border on cards (border-left: 3px solid <accent>)
• Generic hero copy ("Welcome to [X]", "Unlock the power of...", "Your all-in-one solution for...")
• Cookie-cutter section rhythm (hero → 3 features → testimonials → pricing → CTA, every section same height)

10. Performance as Design (6 items)

• LCP < 2.0s (web apps), < 1.5s (informational sites)
• CLS < 0.1 (no visible layout shifts during load)
• Skeleton quality: shapes match real content, shimmer animation
• Images: loading="lazy", width/height dimensions set, WebP/AVIF format
• Fonts: font-display: swap, preconnect to CDN origins
• No visible font swap flash (FOUT) — critical fonts preloaded

---

Phase 4: Interaction Flow Review

Walk 2-3 key user flows and evaluate the feel, not just the function:

$B snapshot -i
$B click @e3           # perform action
$B snapshot -D          # diff to see what changed

Evaluate:

• Response feel: Does clicking feel responsive? Any delays or missing loading states?
• Transition quality: Are transitions intentional or generic/absent?
• Feedback clarity: Did the action clearly succeed or fail? Is the feedback immediate?
• Form polish: Focus states visible? Validation timing correct? Errors near the source?

---

Phase 5: Cross-Page Consistency

Compare screenshots and observations across pages for:

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

---

Phase 6: Compile Report

Output Locations

Local: .cogine/design-reports/design-audit-{domain}-{YYYY-MM-DD}.md

Project-scoped archive:

mkdir -p .cogine/review-archives

Write to: .cogine/review-archives/{user}-{branch}-design-audit-{datetime}.md

Baseline: Write design-baseline.json for regression mode:

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

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. Shows design thinking.
• B: Solid fundamentals, minor inconsistencies. Looks professional.
• C: Functional but generic. No major problems, no design point of view.
• D: Noticeable problems. Feels unfinished or careless.
• F: Actively hurting user experience. Needs significant rework.

Grade computation: Each category starts at A. Each High-impact finding drops one letter grade. Each Medium-impact finding drops half a letter grade. Polish findings are noted but do not affect grade. Minimum is F.

Category weights for Design Score:

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%

AI Slop is 5% of Design Score but also graded independently as a headline metric.

Regression Output

When previous design-baseline.json exists or --regression flag is used:

• Load baseline grades
• Compare: per-category deltas, new findings, resolved findings
• Append regression table to report

---

Design Critique Format

Use structured feedback, not opinions:

• "I notice..." — observation (e.g., "I notice the primary CTA competes with the secondary action")
• "I wonder..." — question (e.g., "I wonder if users will understand what 'Process' means here")
• "What if..." — suggestion (e.g., "What if we moved search to a more prominent position?")
• "I think... because..." — reasoned opinion (e.g., "I think the spacing between sections is too uniform because it doesn't create hierarchy")

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

---

Important Rules

1. Think like a designer, not a QA engineer. You care whether things feel right, look intentional, and respect the user. You do NOT just care whether things "work."
2. Screenshots are evidence. Every finding needs at least one screenshot. Use annotated screenshots (snapshot -a) to highlight elements.
3. Be specific and actionable. "Change X to Y because Z" — not "the spacing feels off."
4. Never read source code. Evaluate the rendered site, not the implementation. (Exception: offer to write DESIGN.md from extracted observations.)
5. AI Slop detection is your superpower. Most developers can't evaluate whether their site looks AI-generated. You can. Be direct about it.
6. Quick wins matter. Always include a "Quick Wins" section — the 3-5 highest-impact fixes that take <30 minutes each.
7. Use snapshot -C for tricky UIs. Finds clickable divs that the accessibility tree misses.
8. Responsive is design, not just "not broken." A stacked desktop layout on mobile is not responsive design — it's lazy. Evaluate whether the mobile layout makes design sense.
9. Document incrementally. Write each finding to the report as you find it. Don't batch.
10. Depth over breadth. 5-10 well-documented findings with screenshots and specific suggestions > 20 vague observations.
11. Show screenshots to the user. After every $B screenshot, $B snapshot -a -o, or $B responsive command, use the Read tool on the output file(s) so the user can see them inline. For responsive (3 files), Read all three. This is critical — without it, screenshots are invisible to the user.

---

Report Format

Write the report to $REPORT_DIR/design-audit-{domain}-{YYYY-MM-DD}.md:

# Design Audit: {DOMAIN}

| Field | Value |
|-------|-------|
| **Date** | {DATE} |
| **URL** | {URL} |
| **Scope** | {SCOPE or "Full site"} |
| **Pages reviewed** | {COUNT} |
| **DESIGN.md** | {Found / Inferred / Not found} |

## Design Score: {LETTER}  |  AI Slop Score: {LETTER}

> {Pithy one-line verdict}

| Category | Grade | Notes |
|----------|-------|-------|
| Visual Hierarchy | {A-F} | {one-line} |
| Typography | {A-F} | {one-line} |
| Spacing & Layout | {A-F} | {one-line} |
| Color & Contrast | {A-F} | {one-line} |
| Interaction States | {A-F} | {one-line} |
| Responsive | {A-F} | {one-line} |
| Motion | {A-F} | {one-line} |
| Content Quality | {A-F} | {one-line} |
| AI Slop | {A-F} | {one-line} |
| Performance Feel | {A-F} | {one-line} |

## First Impression
{structured critique}

## Top 5 Design Improvements
{prioritized, actionable}

## Inferred Design System
{fonts, colors, heading scale, spacing}

## Findings
{each: impact, category, page, what's wrong, what good looks like, screenshot}

## Responsive Summary
{mobile/tablet/desktop grades per page}

## Quick Wins (< 30 min each)
{high-impact, low-effort fixes}

---

DESIGN.md Export

After Phase 2 (Design System Extraction), if the user accepts the offer, write a DESIGN.md to the repo root:

# Design System — {Project Name}

## Product Context
What this is: {inferred from site}
Project type: {web app / dashboard / marketing site / etc.}

## Typography
{extracted fonts with roles}

## Color
{extracted palette}

## Spacing
{extracted scale}

## Heading Scale
{extracted h1-h6 sizes}

## Decisions Log
| Date | Decision | Rationale |
|------|----------|-----------|
| {today} | Baseline captured from live site | Inferred by /site-design-audit |

---

Additional Rules (site-design-audit specific)

11. Never fix anything. Find and document only. Do not read source code, edit files, or suggest code fixes. Your job is to report what could be better and suggest design improvements. Use /site-design-fix for the fix loop.
12. The exception: You MAY write a DESIGN.md file if the user accepts the offer. This is the only file you create.

Review Log

After compiling the report, persist the review result:

mkdir -p .cogine/review-logs
echo '{"skill":"site-design-audit","timestamp":"TIMESTAMP","status":"STATUS","design_score":"GRADE","ai_slop_score":"GRADE","mode":"MODE"}' >> .cogine/review-logs/"$BRANCH"-reviews.jsonl

Substitute values from the report:

• TIMESTAMP: current ISO 8601 datetime
• STATUS: "clean" if Design Score is A or B; "issues_open" if C, D, or F
• GRADE: the letter grade from the report (Design Score and AI Slop Score respectively)
• MODE: Full / Quick / Deep / Diff-aware / Regression

Review Readiness Dashboard

After completing the review, read the review log to display the dashboard.

cat .cogine/review-logs/"$BRANCH"-reviews.jsonl 2>/dev/null || echo "NO_REVIEWS"

Parse the output. Find the most recent entry for each skill (planmode-ceo, planmode-engineer, site-design-audit). Ignore entries with timestamps older than 7 days. Display:

+====================================================================+
|                    REVIEW READINESS DASHBOARD                       |
+====================================================================+
| Review          | Runs | Last Run            | Status               |
|-----------------|------|---------------------|----------------------|
| CEO Review      |  1   | 2026-03-16 14:30    | CLEAR                |
| Eng Review      |  1   | 2026-03-16 15:00    | CLEAR                |
| Design Review   |  0   | —                   | NOT YET RUN          |
+--------------------------------------------------------------------+
| VERDICT: 2/3 CLEAR — Design Review not yet run                      |
+====================================================================+

Verdict logic:

• CLEARED TO SHIP (3/3): All three have >= 1 entry within 7 days AND most recent status is "clean"
• N/3 CLEAR: Show count and list which are missing, have open issues, or are stale (>7 days)
• Informational only — does NOT block.