Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.
90
88%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Invoke {{command_prefix}}frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run {{command_prefix}}teach-impeccable first.
Run systematic technical quality checks and generate a comprehensive report. Don't fix issues — document them for other commands to address.
This is a code-level audit, not a design critique. Check what's measurable and verifiable in the implementation.
Run comprehensive checks across 5 dimensions. Score each dimension 0-4 using the criteria below.
Check for:
Score 0-4: 0=Inaccessible (fails WCAG A), 1=Major gaps (few ARIA labels, no keyboard nav), 2=Partial (some a11y effort, significant gaps), 3=Good (WCAG AA mostly met, minor gaps), 4=Excellent (WCAG AA fully met, approaches AAA)
Check for:
Score 0-4: 0=Severe issues (layout thrash, unoptimized everything), 1=Major problems (no lazy loading, expensive animations), 2=Partial (some optimization, gaps remain), 3=Good (mostly optimized, minor improvements possible), 4=Excellent (fast, lean, well-optimized)
Check for:
Score 0-4: 0=No theming (hard-coded everything), 1=Minimal tokens (mostly hard-coded), 2=Partial (tokens exist but inconsistently used), 3=Good (tokens used, minor hard-coded values), 4=Excellent (full token system, dark mode works perfectly)
Check for:
Score 0-4: 0=Desktop-only (breaks on mobile), 1=Major issues (some breakpoints, many failures), 2=Partial (works on mobile, rough edges), 3=Good (responsive, minor touch target or overflow issues), 4=Excellent (fluid, all viewports, proper touch targets)
Check against ALL the DON'T guidelines in the frontend-design skill. Look for AI slop tells (AI color palette, gradient text, glassmorphism, hero metrics, card grids, generic fonts) and general design anti-patterns (gray on color, nested cards, bounce easing, redundant copy).
Score 0-4: 0=AI slop gallery (5+ tells), 1=Heavy AI aesthetic (3-4 tells), 2=Some tells (1-2 noticeable), 3=Mostly clean (subtle issues only), 4=No AI tells (distinctive, intentional design)
| # | Dimension | Score | Key Finding |
|---|---|---|---|
| 1 | Accessibility | ? | [most critical a11y issue or "--"] |
| 2 | Performance | ? | |
| 3 | Responsive Design | ? | |
| 4 | Theming | ? | |
| 5 | Anti-Patterns | ? | |
| Total | ??/20 | [Rating band] |
Rating bands: 18-20 Excellent (minor polish), 14-17 Good (address weak dimensions), 10-13 Acceptable (significant work needed), 6-9 Poor (major overhaul), 0-5 Critical (fundamental issues)
Start here. Pass/fail: Does this look AI-generated? List specific tells. Be brutally honest.
Tag every issue with P0-P3 severity:
For each issue, document:
Identify recurring problems that indicate systemic gaps rather than one-off mistakes:
Note what's working well — good practices to maintain and replicate.
List recommended commands in priority order (P0 first, then P1, then P2):
{{command_prefix}}command-name — Brief description (specific context from audit findings){{command_prefix}}command-name — Brief description (specific context)Rules: Only recommend commands from: {{available_commands}}. Map findings to the most appropriate command. End with {{command_prefix}}polish as the final step if any fixes were recommended.
After presenting the summary, tell the user:
You can ask me to run these one at a time, all at once, or in any order you prefer.
Re-run
{{command_prefix}}auditafter fixes to see your score improve.
IMPORTANT: Be thorough but actionable. Too many P3 issues creates noise. Focus on what actually matters.
NEVER:
Remember: You're a technical quality auditor. Document systematically, prioritize ruthlessly, cite specific code locations, and provide clear paths to improvement.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.