design-audit
Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns.
Skill by Leo-Atienza
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/leo-atienza-design-audit
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: documents, design, frontend, security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/design-audit
What's inside
- Skill name
design-audit- Description
- 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 of a frontend interface.
- License
- MIT
- Instructions
- 105 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## Preparation Load the `frontend-design` skill (SK-005) — it contains design principles, anti-patterns, and reference modules that this audit checks against. --- Run systematic **technical** quality checks and generate a comprehensive report. Don't fix issues — document them for other skills to address. This is a code-level audit, not a design critique. Check what's measurable and verifiable in the implementation. ## Runtime Audit (optional — if a deployed URL is available) If the page is deployed and accessible via URL, run a **Lighthouse MCP audit** before the code-level scan to gather runtime data: 1. Use Lighthouse MCP to audit the URL for Performance, Accessibility, SEO, Best Practices 2. Note the Lighthouse scores and any critical axe-core violations 3. Use these as ground truth when scoring the code-level dimensions below — Lighthouse runtime data takes precedence over code-level guesses for Performance and Accessibility scores If no URL is available (local dev only), skip this step and proceed with code-level analysis. ## Diagnostic Scan Run comprehensive checks across 5 dimensions. Score each dimension 0-4. ### 1. Accessibility (A11y) **Check for**: Contrast ratios < 4.5:1, missing ARIA (roles, labels, states), keyboard navigation gaps (focus indicators, tab order, traps), semantic HTML issues (heading hierarchy, landmarks, divs-as-buttons), missing/poor alt text, form issues (inputs without labels, poor error messaging). **Score**: 0=Inaccessible (fails WCAG A), 1=Major gaps, 2=Partial, 3=Good (WCAG AA mostly met), 4=Excellent (WCAG AA fully met) ### 2. Performance **Check for**: Layout thrashing (read/write loops), expensive animations (animating width/height instead of transform/opacity), missing lazy loading, unnecessary imports, unnecessary re-renders, missing memoization. **Score**: 0=Severe issues, 1=Major problems, 2=Partial, 3=Good, 4=Excellent ### 3. Theming **Check for**: Hard-coded colors not using tokens, broken dark mode, inconsistent token usage, values that don't update on theme change. **Score**: 0=No theming, 1=Minimal tokens, 2=Partial, 3=Good, 4=Excellent ### 4. Responsive Design **Check for**: Fixed widths that break on mobile, touch targets < 44x44px, horizontal scroll/overflow, text scaling failures, missing breakpoints. **Score**: 0=Desktop-only, 1=Major issues, 2=Partial, 3=Good, 4=Excellent ### 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, identical card grids, generic fonts, gray on color, nested cards, bounce easing, redundant copy. **Score**: 0=AI slop gallery (5+ tells), 1=Heavy AI aesthetic (3-4), 2=Some tells (1-2), 3=Mostly clean, 4=No AI tells ## Generate Report ### Audit Health Score | # | Dimension | Score | Key Finding | |---|-----------|-------|-------------| | 1 | Accessibility | ? | [most critical issue or "—"] | | 2 | Performance | ? | | | 3 | Responsive Design | ? | | | 4 | Theming | ? | | | 5 | Anti-Patterns | ? | | | **Total** | | **??/20** | **[Rating band]** | **Rating bands**: 18-20 Excellent, 14-17 Good, 10-13 Acceptable, 6-9 Poor, 0-5 Critical ### 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: **[P?] Issue name** — Location, Category, Impact, Standard violated, Recommendation. ### Patterns & Systemic Issues Identify recurring problems that indicate systemic gaps: "Hard-coded colors in 15+ components," "Touch targets consistently <44px." ### Positive Findings Note what's working well — good practices to maintain and replicate. ## Recommended Actions List fixes in priority order (P0 first): 1. **[P?]** Brief description (specific context from findings) End with `design-polish` as the final step if any fixes were recommended. **NEVER**: Report issues without explaining impact. Provide generic recommendations. Skip positive findings. Report false positives without verification.
From Leo-Atienza/atlas-claude, MIT.
More from Leo-Atienza/atlas-claude
- 0.519score
self-evolve
Leo-Atienza
Detect capability gaps and autonomously create skills, add free MCP servers, or organize agent teams.
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
codebase-knowledge-graph
Leo-Atienza
Router skill for graph-based codebase/corpus queries.
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
smart-swarm
Leo-Atienza
Automatically organize multi-agent teams for complex tasks.
SkillCFreshness: C★ 4Claude Code +9 - 0.516score
project-init
Leo-Atienza
Auto-generate project-level CLAUDE.md from templates based on detected stack.
SkillCFreshness: C★ 4Claude Code +9 - 0.513score
skill-usage-audit
Leo-Atienza
Monthly audit of archived skills — auto-unarchive used skills, auto-remove unused ones
SkillCFreshness: C★ 4Claude Code +9 - 0.513score
monthly-evolution-report
Leo-Atienza
Monthly evolution report — knowledge growth, usage analysis, optimization suggestions
SkillCFreshness: C★ 4Claude Code +9 - 0.513score
weekly-memory-maintenance
Leo-Atienza
Weekly memory maintenance — prune sessions >30, check INDEX/topics consistency, evolution health
SkillCFreshness: C★ 4Claude Code +9 - 0.513score
weekly-cleanup-scan
Leo-Atienza
Weekly cleanup scan — hooks, disk usage, stale files, MCP health
SkillCFreshness: C★ 4Claude Code +9 - 0.508score
weekly-dream
Leo-Atienza
Weekly memory consolidation — runs /dream to orient, gather signal, merge, and prune memory files
SkillCFreshness: C★ 4Claude Code +9 - 0.494score
brand-guidelines
Leo-Atienza
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel.
SkillCFreshness: C★ 4Claude Code +9 - 0.280score
css-first-ui
Leo-Atienza
No description from the publisher yet.
SkillCFreshness: C★ 4Claude Code +9 - 0.280score
ai-native-ui
Leo-Atienza
No description from the publisher yet.
SkillCFreshness: C★ 4Claude Code +9
Signals
- Stars
- 4
- Forks
- 5
- Open issues
- 0
- Last commit (this folder)
- Jul 20, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Leo-Atienza/atlas-claude
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Leo-Atienza
- 0.519score
self-evolve
Leo-Atienza
Detect capability gaps and autonomously create skills, add free MCP servers, or organize agent teams.
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
smart-swarm
Leo-Atienza
Automatically organize multi-agent teams for complex tasks.
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
codebase-knowledge-graph
Leo-Atienza
Router skill for graph-based codebase/corpus queries.
SkillCFreshness: C★ 4Claude Code +9 - 0.516score
project-init
Leo-Atienza
Auto-generate project-level CLAUDE.md from templates based on detected stack.
SkillCFreshness: C★ 4Claude Code +9 - 0.513score
skill-usage-audit
Leo-Atienza
Monthly audit of archived skills — auto-unarchive used skills, auto-remove unused ones
SkillCFreshness: C★ 4Claude Code +9 - 0.513score
weekly-cleanup-scan
Leo-Atienza
Weekly cleanup scan — hooks, disk usage, stale files, MCP health
SkillCFreshness: C★ 4Claude Code +9
Cite this page
design-audit skill. Agent Mart. https://agentmart.dev/skills/leo-atienza-design-audit (last updated 2026-10-24)