Landing Page Optimizer: Install, Source and Security | FunnelSlayer

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

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "landing-page-optimizer" from https://github.com/aiagentskills/skills

Install 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-optimizer

Skill 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

  1. Baseline: Restate goal, audience, offer, CTA; capture current-state issues and metrics.
  2. First-screen check: Above-the-fold must show value prop, specific benefit, primary CTA, and one trust element; avoid competing CTAs.
  3. 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.
  4. Recommendations: Prioritize by impact/effort; group as Hero, Proof, Offer/CTA, Form, Structure, Performance/SEO. Provide concrete changes.
  5. Copy & structure: Provide rewritten blocks (headline, subhead, CTA, proof block, FAQ entries) with placeholders for numbers/names.
  6. 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.
  7. 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

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