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Landing Page Audit Skill for Claude

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

792 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
694
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill landing-page-audit

The instruction itself

6 sections, as written by the author

/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

  • 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.
  • Above-fold clarity (score 1-10): Headline clarity, value proposition, visual hierarchy, CTA visibility within first viewport
  • Trust signals (score 1-10): Social proof, testimonials, logos, security badges, guarantees, reviews
  • Form friction (score 1-10): Number of fields, field labels, error handling, progressive disclosure, mobile form UX
  • Message match (score 1-10): Alignment between traffic source (ad/email) and landing page headline, imagery, offer
  • Page speed (score 1-10): Load time, Core Web Vitals, render-blocking resources, image optimization
  • Mobile experience (score 1-10): Responsive design, tap targets, scroll depth, mobile-specific CTAs
  • Calculate overall score and benchmark against industry averages
  • 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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How to use it

Copy the folder

Take indranilbanerjee/landing-page-audit from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.