audit▌
pbakaus/impeccable · updated Apr 8, 2026
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Systematic quality audit across accessibility, performance, theming, and responsive design with prioritized findings.
- ›Scans five dimensions: accessibility (contrast, ARIA, keyboard nav, semantic HTML, alt text, forms), performance (layout thrashing, expensive animations, bundle size, render efficiency), theming (hard-coded colors, dark mode, token consistency), responsive design (fixed widths, touch targets, overflow, text scaling), and AI anti-patterns
- ›Documents issues by severity (Cri
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.
How to use audit on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add audit
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches audit from GitHub repository pbakaus/impeccable and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate audit. Access the skill through slash commands (e.g., /audit) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★56 reviews- ★★★★★Mei Abebe· Dec 24, 2024
Registry listing for audit matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dhruvi Jain· Dec 20, 2024
Useful defaults in audit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Evelyn Anderson· Dec 20, 2024
Useful defaults in audit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sofia Sethi· Dec 16, 2024
audit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Kaira Abebe· Dec 16, 2024
Solid pick for teams standardizing on skills: audit is focused, and the summary matches what you get after install.
- ★★★★★Mateo Gupta· Dec 8, 2024
audit is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Mei Harris· Dec 4, 2024
I recommend audit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aanya Garcia· Nov 27, 2024
audit reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mateo Iyer· Nov 15, 2024
Keeps context tight: audit is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Oshnikdeep· Nov 11, 2024
audit has been reliable in day-to-day use. Documentation quality is above average for community skills.
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