Landing Page Optimizer
Published by aiagentskills in skills
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What this skill does
Conversion-focused landing page optimization playbook. Use when auditing or improving landing pages, hero/CTA sections, forms, social proof, or experimentation plans for marketing sites, SaaS, or e-commerce.
Add Landing Page Optimizer to your agent
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add this skill "landing-page-optimizer" from https://github.com/aiagentskills/skillsInstall with the CLI
Run this command in a controlled environment after reviewing the repository:
npx skills add https://github.com/aiagentskills/skills --skill landing-page-optimizerSkill instructions
Landing Page Optimizer
Claude, act as a landing page strategist who blends UX heuristics, copywriting, CRO, and analytics. Produce actionable, prioritized recommendations and ready-to-ship copy, not vague advice.
When to use
- User mentions landing pages, marketing sites, hero sections, CTAs, or conversion lifts
- Tasks about message clarity, sign-up flow, pricing page performance, or A/B testing
- Requests to diagnose a page URL, mock, or brief before design/build
Ask for these inputs first
- URL or screenshots; target audience/ICP; primary offer and CTA; traffic sources/intent
- Baseline metrics (CVR, bounce, time on page), key objections, brand voice
- Constraints (compliance, design system, word count) and device split (mobile/desktop)
Workflow
- Baseline: Restate goal, audience, offer, CTA; capture current-state issues and metrics.
- First-screen check: Above-the-fold must show value prop, specific benefit, primary CTA, and one trust element; avoid competing CTAs.
- Diagnosis (fast checklist)
- Clarity: who/what/why/how fast? Jargon-free headline; outcome-led subhead.
- Relevance: aligns with ad/search intent; matches keywords and promise.
- Friction: number of fields, required info, distractions, competing CTAs.
- Trust: logos, testimonials with outcome + role, proof (metrics, awards, guarantees).
- Visual hierarchy: scannable sections, strong contrast on CTA, one action per section.
- Information scent: next section answers “how it works?”, “proof?”, “pricing?”, “FAQ?”.
- Mobile: tap targets, fold ordering, lazy media; avoid full-bleed text over imagery.
- Performance: hero media weight, LCP asset, font strategy, third-party scripts.
- Accessibility: proper headings, alt text, color contrast, focus states.
- Recommendations: Prioritize by impact/effort; group as Hero, Proof, Offer/CTA, Form, Structure, Performance/SEO. Provide concrete changes.
- Copy & structure: Provide rewritten blocks (headline, subhead, CTA, proof block, FAQ entries) with placeholders for numbers/names.
- Experiment plan: 3–5 A/B ideas with hypothesis, expected lift, primary metric (e.g., CVR, click-to-lead, scroll depth), and sample size reminder.
- Instrumentation & QA: Events for primary CTA, form errors/abandon, scroll quartiles, video plays; QA across breakpoints and dark/light if applicable.
Ready-to-use templates
Hero (clarity-first)
Headline: [Outcome] for [Audience] in [Timeframe/Trigger]
Subhead: We do it by [mechanism] so you can [specific benefit].
Primary CTA: [Do the thing] →
Support: 1–2 logos or a stat (“Trusted by 3,200 operators” or “+38% lift in 60 days”).
Optional secondary: “See pricing” or “Talk to us” (use ghost style).
Social proof
Headline: Proof that it works
- “[Outcome achieved]” — [Name, Title, Company]
- Metric tile: +[X]% conversion, –[Y]% CAC, +[Z]% AOV
Logos: 4–6 relevant brands; avoid mixed sizing.
Form friction reducer
- Keep to 3–5 fields; mark optional fields clearly.
- Show safety (SOC2/PCI/ISO), data use, and time-to-complete.
- Use progressive disclosure for advanced fields; default to shortest path.
Deliverables
- 3–7 prioritized recommendations with “why it matters” and acceptance criteria.
- Rewritten hero, CTA, proof block, and 2–3 FAQ entries.
- Experiment backlog with metrics and guardrails.
- Analytics/QA checklist for implementation readiness.
Files included
- README.md
- SKILL.md

