taste-audit · git:20261030.a9b94a5 · 2026-10-30 · sha256 a6e7878894ebff78
taste-audit git:20261030.a9b94a5A
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--- name: taste-audit description: Reviews an existing UI, screenshot, URL or codebase for AI slop, UX debt, accessibility failures and design-system drift, then returns a scored, prioritised fix plan and (on request) applies it. Use for "review my UI", "why does this look AI-generated", "audit", "make it look professional", "roast my landing page", "is this accessible", or before a launch. --- # Taste Audit: diagnose, score, fix Find what makes the interface feel generated or hard to use, rank it by user impact, and fix it with the smallest diffs. ## Inputs (any) Code (repo or files) · screenshot(s) · live URL (use a browser tool if available) · description. With code, run the scanner first; with images, apply the catalog by eye. ## Procedure 1. **Context** (3 lines): who uses it, the critical flow, platform. Infer; do not interrogate. 2. **Automated pass** (code only): `node <taste-guard>/scripts/slop-scan.mjs <src> --project --json`. 3. **Heuristic pass**, by lens, using catalog IDs where they exist: - **Slop**: V/C-series visuals and copy, including Review-only items (V15, V17, C07). - **Hierarchy**: one focal point per view? primary action obvious within 3 seconds? squint test. - **Consistency**: radius, spacing, type scale, color roles, icon set; count distinct values. - **States**: loading, empty, error, permission on each async surface (U10). - **Accessibility**: contrast (measure, don't guess), keyboard path, names, focus visibility, reflow at 320px, motion. - **Copy**: specific, verb-led, consistent voice, no hype. - **Responsiveness and performance**: layout shift, image weight, font loading, mobile tap targets. 4. **Score**: Taste score from the scanner (or estimate from findings) + BASIC (0-2 each for Beauty, Accessibility, Simplicity, Intuitiveness, Consistency). 5. **Prioritise**: P0 blocks use or excludes users (a11y errors, broken states) · P1 erodes trust (slop, inconsistency) · P2 polish. 6. **Fix plan**: for each finding, the exact change (file:line, class or token to use). Group by component so fixes are batched. 7. **Apply** (when asked or when the user said "fix"): P0 then P1, smallest diffs, re-scan, report before/after score. ## Output ``` Tastemaker audit: <product/page> Score <before>/100 (<grade>) · BASIC <n>/10 · <e> errors · <w> warnings Top 3 problems (user impact first): 1. <finding> [ID] -> <fix> ... P0 | P1 | P2 tables: ID · where · problem · fix After fixes (if applied): score <after>/100, remaining items with reasons ``` Keep the summary to 12 lines; tables only as long as the findings. ## Rules - Measure contrast with `taste-tokens/scripts/contrast.mjs`; never eyeball a borderline pair. - Do not restyle what works. A good layout with slop copy gets copy fixes, not a redesign. - Screenshot audits: state what cannot be verified from pixels (keyboard, screen-reader names, states not shown). - Never invent analytics or user research to justify a finding; reason from heuristics and say so.