audit
Skill571 starsChanged 3 months agoApache-2.0View on GitHub
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.
We split this skill into the rules it gives an agent
6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 163 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Run systematic technical quality checks and generate a comprehensive report.
- Distinctive: line 20
Run comprehensive checks across 5 dimensions.
- Distinctive: line 62
Missing breakpoints: No mobile/tablet variants
- Distinctive: line 68
Check against ALL the DON'T guidelines in the frontend-design skill.
- Distinctive: line 130
Rules: Only recommend commands from: /animate, /quieter, /optimize, /adapt, /clarify, /distill, /delight, /onboard, /normalize, /audit, …
- Distinctive: line 132
After presenting the summary, tell the user:
“Common” is measured: kept by at least 6 in 10 of the 163 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
MANDATORY PREPARATION
Invoke /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 /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.
Diagnostic Scan
Run comprehensive checks across 5 dimensions. Score each dimension 0-4 using the criteria below.
1. Accessibility (A11y)
Check for:
- Contrast issues: Text contrast ratios < 4.5:1 (or 7:1 for AAA)
- Missing ARIA: Interactive elements without proper roles, labels, or states
- Keyboard navigation: Missing focus indicators, illogical tab order, keyboard traps
- Semantic HTML: Improper heading hierarchy, missing landmarks, divs instead of buttons
- Alt text: Missing or poor image descriptions
- Form issues: Inputs without labels, poor error messaging, missing required indicators
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)
2. Performance
Check for:
- Layout thrashing: Reading/writing layout properties in loops
- Expensive animations: Animating layout properties (width, height, top, left) instead of transform/opacity
- Missing optimization: Images without lazy loading, unoptimized assets, missing will-change
- Bundle size: Unnecessary imports, unused dependencies
- Render performance: Unnecessary re-renders, missing memoization
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)
3. Theming
Check for:
- Hard-coded colors: Colors not using design tokens
- Broken dark mode: Missing dark mode variants, poor contrast in dark theme
- Inconsistent tokens: Using wrong tokens, mixing token types
- Theme switching issues: Values that don't update on theme change
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)
4. Responsive Design
Check for:
- Fixed widths: Hard-coded widths that break on mobile
- Touch targets: Interactive elements < 44x44px
- Horizontal scroll: Content overflow on narrow viewports
- Text scaling: Layouts that break when text size increases
- Missing breakpoints: No mobile/tablet variants
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)
5. Anti-Patterns (CRITICAL)
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)
Generate Report
Audit Health Score
| # | 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)
Anti-Patterns Verdict
Start here. Pass/fail: Does this look AI-generated? List specific tells. Be brutally honest.
Executive Summary
- Audit Health Score: ??/20 ([rating band])
- Total issues found (count by severity: P0/P1/P2/P3)
- Top 3-5 critical issues
- Recommended next steps
Detailed Findings by Severity
Tag every issue with P0-P3 severity:
- P0 Blocking: Prevents task completion — fix immediately
- P1 Major: Significant difficulty or WCAG AA violation — fix before release
- P2 Minor: Annoyance, workaround exists — fix in next pass
- P3 Polish: Nice-to-fix, no real user impact — fix if time permits
For each issue, document:
- [P?] Issue name
- Location: Component, file, line
- Category: Accessibility / Performance / Theming / Responsive / Anti-Pattern
- Impact: How it affects users
- WCAG/Standard: Which standard it violates (if applicable)
- Recommendation: How to fix it
- Suggested command: Which command to use (prefer: /animate, /quieter, /optimize, /adapt, /clarify, /distill, /delight, /onboard, /normalize, /audit, /harden, /polish, /extract, /bolder, /arrange, /typeset, /critique, /colorize, /overdrive)
Patterns & Systemic Issues
Identify recurring problems that indicate systemic gaps rather than one-off mistakes:
- "Hard-coded colors appear in 15+ components, should use design tokens"
- "Touch targets consistently too small (<44px) throughout mobile experience"
Positive Findings
Note what's working well — good practices to maintain and replicate.
Recommended Actions
List recommended commands in priority order (P0 first, then P1, then P2):
- [P?]
/command-name— Brief description (specific context from audit findings) - [P?]
/command-name— Brief description (specific context)
Rules: Only recommend commands from: /animate, /quieter, /optimize, /adapt, /clarify, /distill, /delight, /onboard, /normalize, /audit, /harden, /polish, /extract, /bolder, /arrange, /typeset, /critique, /colorize, /overdrive. Map findings to the most appropriate command. End with /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
/auditafter fixes to see your score improve.
IMPORTANT: Be thorough but actionable. Too many P3 issues creates noise. Focus on what actually matters.
NEVER:
- Report issues without explaining impact (why does this matter?)
- Provide generic recommendations (be specific and actionable)
- Skip positive findings (celebrate what works)
- Forget to prioritize (everything can't be P0)
- Report false positives without verification
Remember: You're a technical quality auditor. Document systematically, prioritize ruthlessly, cite specific code locations, and provide clear paths to improvement.
Other versions191 projects use a version of this.
Word for word · 5
- HK-hub/AgentSkills★ 6100% same
- arnabdeypolimi/claude_code_setup★ 4100% same
- huangzida/skills★ 2100% same
- freshpomelo/agent_skills★ 0100% same
- lucaszb-orla/claude-skills★ 0100% same
Edited · 26
- yournextstore/yournextstore★ 5.5k46% same
- nexmoe/DayBee★ 42447% same
- nexmoe/eve★ 42147% same
- Southclaws/storyden★ 33947% same
- 10xChengTu/Mux0★ 33796% same
- theexperiencecompany/gaia★ 32095% same
- AkaraChen/aghub★ 271100% same
- zacharyfmarion/openscad-studio★ 23846% same
- jagrat7/linux-wallpaper-engine★ 20898% same
- owshq-mec/semana-ai-data-engineer★ 12296% same
16 more not listed
Wrote their own version · 160
- openai/plugins★ 7.4ksame name
- ccch1mneyyy/dsh-TUI★ 5.7ksame name
- macro-inc/macro★ 4.9ksame name
- gadievron/raptor★ 3.9ksame name
- alchemy-run/alchemy★ 1.7ksame name
- alchemy-run/alchemy-effect★ 1.7ksame name
- jsmastery-pro/skills★ 1.4ksame name
- nateherkai/AIS-OS★ 1.4ksame name
- suboss87/FDEOps★ 940same name
- patrickjaja/claude-desktop-extra★ 696same name
150 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use layout and pm-discovery.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
owshq-mecSkilllayout
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Also in 8 projects that use this
ww-w-aiSkillpm-discovery
PM Agent Team - Automated product discovery, strategy, and PRD generation. Runs PM analysis workflow to produce comprehensive PRD before PDCA Plan phase.
Also in 3 projects that use this
In this repository52 other files it gives its agents.
- AGENTS.mdAGENTS.md
- adaptSkill
- animateSkill
- arrangeSkill
- bolderSkill
- clarifySkill
- colorizeSkill
- critiqueSkill
- delightSkill
- distillSkill
- extractSkill
- frontend-designSkill
- hardenSkill
- normalizeSkill
- onboardSkill
- optimizeSkill
- overdriveSkill
- pixijs-accessibilitySkill
- pixijs-applicationSkill
- pixijs-assetsSkill
- pixijs-blend-modesSkill
- pixijs-colorSkill
- pixijs-core-conceptsSkill
- pixijs-createSkill
- pixijs-custom-renderingSkill
- pixijs-environmentsSkill
- pixijs-eventsSkill
- pixijs-filtersSkill
- pixijs-html-sourceSkill
- pixijs-mathSkill
- pixijs-migration-v8Skill
- pixijs-performanceSkill
- pixijs-scene-containerSkill
- pixijs-scene-core-conceptsSkill
- pixijs-scene-dom-containerSkill
- pixijs-scene-gifSkill
- pixijs-scene-graphicsSkill
- pixijs-scene-meshSkill
- pixijs-scene-particle-containerSkill
- pixijs-scene-spriteSkill
- pixijs-scene-textSkill
- pixijsSkill
- pixijs-tickerSkill
- polishSkill
- quieterSkill
- teach-impeccableSkill
- typesetSkill
- cohub-appsSkill
- cohub-boardSkill
- cohub-generateSkill
- cohubSkill
- public-filesSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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