agentsclimarketplace

Landing page audit

Skill indranilbanerjee/digital-marketing-pro/skills/landing-page-audit

Open-source AI marketing plugin for agencies & in-house teams — 158 skills, 25 specialist agents, 12-Part Strategy Flow, Cowork team-persistent, EU AI Act Article 50 ready, 6-platform AEO/GEO incl. Google AI Mode. Installs on Claude Code, Cowork, Codex, Cursor, Copilot CLI, Antigravity. MIT-licensed.

Install
npx -y skills add indranilbanerjee/digital-marketing-pro --skill landing-page-audit

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What its author says it does

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Audit landing pages. Use when: scoring above-fold clarity, trust signals, form friction, message match, or mobile UX.

SKILL.md

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/digital-marketing-pro:landing-page-audit

Purpose

Evaluate a landing page across six key conversion dimensions and deliver a scored assessment with specific, actionable recommendations to improve conversion rate.

Input Required

The user must provide (or will be prompted for):

  • Landing page URL: The page to audit
  • Traffic source: Where visitors come from (paid search, social ads, email, organic)
  • Target action: Desired conversion (form submit, purchase, signup, download, call)
  • Ad copy or email: The upstream message driving traffic (for message match analysis)
  • Current conversion rate: If known, for benchmarking

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Above-fold clarity (score 1-10): Headline clarity, value proposition, visual hierarchy, CTA visibility within first viewport
  3. Trust signals (score 1-10): Social proof, testimonials, logos, security badges, guarantees, reviews
  4. Form friction (score 1-10): Number of fields, field labels, error handling, progressive disclosure, mobile form UX
  5. Message match (score 1-10): Alignment between traffic source (ad/email) and landing page headline, imagery, offer
  6. Page speed (score 1-10): Load time, Core Web Vitals, render-blocking resources, image optimization
  7. Mobile experience (score 1-10): Responsive design, tap targets, scroll depth, mobile-specific CTAs
  8. Calculate overall score and benchmark against industry averages
  9. Prioritize recommendations by expected conversion impact

Output

A structured landing page audit containing:

  • Overall conversion score (1-10) with industry benchmark comparison
  • Dimension-by-dimension scoring with evidence and screenshots/notes
  • Top 5 priority fixes ranked by expected impact
  • Detailed recommendations per dimension with implementation guidance
  • Message match analysis with specific misalignment callouts
  • Mobile-specific issues and fixes
  • Quick wins vs. major redesign items

Agents Used

  • analytics-analyst — Performance scoring, conversion benchmarking, data-driven recommendations
  • brand-guardian — Brand consistency, trust signal assessment, message alignment
  • cro-specialist — Conversion scoring, form friction analysis, A/B test sample size calculation, above-fold hierarchy, CTA optimization

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