Audit landing pages for conversion friction across desktop and mobile.
npx skills add https://github.com/dawitlabs/ui-skills --skill landing-dawitlabs
Please help me install this Agent Skill. Skill: landing Source: https://github.com/dawitlabs/ui-skills/tree/main/skills/landing Command: npx skills add https://github.com/dawitlabs/ui-skills --skill landing-dawitlabs
Landing pages often lose conversions due to weak section structure, unclear value proposition, missing trust signals, ineffective CTA hierarchy, and performance problems that hurt above-the-fold impact—especially on mobile.
Ask the Skill to audit your running site at http://localhost:3000 and generate screenshots and a conversion audit for both desktop and 375px mobile.
High-intent search queries and answers about installing and using this skill.
A landing page audit checks above-the-fold messaging, CTA hierarchy, section order, trust signals, and social metadata to identify conversion-killing friction. It produces actionable fixes by comparing your page structure against defined conversion principles for both desktop and mobile.
A high-converting landing page section order flows from hero to social proof, problem, solution, specifics, proof again, pricing, objection handling, and final CTA. This structure ensures visitors understand the value proposition and verify trust signals before taking action.
Check primary CTA visibility by verifying the main call-to-action is reachable above the fold without scrolling. The audit validates CTA hierarchy and re-checks placement at 375px mobile sizing to prevent readability and accessibility failures on smaller screens.
OG and Twitter meta tags control how your landing page title, description, and image appear when shared on social networks. Missing or misaligned social metadata causes poor click-through rates from shared links, directly reducing potential conversions.
Landing page performance directly impacts LCP and mobile conversion rates by delaying perceived page readiness. The audit collects load indicators to flag performance bottlenecks that slow above-the-fold rendering, especially on 375px mobile screens where slow LCP causes immediate visitor drop-off.
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