AI Analysis Skills

Visual hierarchy, spacing, color harmony, and layout consistency.

Headlines, CTAs, tone, clarity, and persuasion quality.

Meta tags, heading structure, Open Graph, and crawlability.

Bundle size, render-blocking resources, and image optimization.

Headers, exposed endpoints, dependency risks, and HTTPS config.

CTAs, value proposition, friction points, and funnel clarity.

Responsive layout, touch targets, viewport, and mobile UX.

Social proof, contact info, privacy policy, and credibility.

Navigation, tap targets, broken links, and information architecture.

Reading level, grammar, freshness signals, and thin page detection.

Cookie consent, GDPR/CCPA notices, and privacy policy audit.

Framework identification, CDN usage, and third-party script inventory.

Open Graph tags, Twitter cards, and rich preview quality.

WCAG contrast, keyboard nav, ARIA labels, and semantic HTML.

Estimated dollar impact per finding — know exactly what each issue costs you.

Tag implementation, event tracking, and data collection audit.

Language detection, hreflang tags, RTL support, and locale handling.

Testable elements, hypothesis generation, and experiment architecture.

Link depth, orphan pages, anchor text quality, and navigation flow.

Format detection, lazy loading, alt text quality, and responsive srcset.

Message match, load time, form friction, and above-fold trust signals.

Testimonial quality, case studies, review integration, and media mentions.

Form placement, lead magnet quality, popup timing, and GDPR compliance.

WCAG contrast ratios, color blindness simulation, and dark mode support.