/digital-marketing-pro:landing-page-audit
SkillCommunicationAudit a landing page across six conversion dimensions, above-fold clarity, trust signals, form friction, message match against the upstream ad or email, page speed, and mobile experience, each scored 1-10, rolled into an overall score benchmarked against industry averages, with the top 5 fixes ranked by expected conversion impact. Assessment and recommendations only; it does not edit the page. Triggers on \"/digital-marketing-pro:landing-page-audit\", \"audit this landing page\", \"why isn't this page converting\", \"score our signup page\", \"does the page match the ad copy\". Reads the brand profile, guidelines, custom templates, and agency SOPs before scoring.
Use /digital-marketing-pro:landing-page-audit in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the /digital-marketing-pro:landing-page-audit skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by indranilbanerjee/digital-marketing-pro in skills/landing-page-audit/SKILL.md and read by ahel’s review.
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.jsonfor 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
Signals
- GitHub stars
- 842
- Forks
- 139
- Last commit
- Sep 2026
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Advanced
- Item type
- skill
- Key
landing-page-audit-indranilbanerjee- Source
- github.com/indranilbanerjee/digital-marketing-pro
github.com/indranilbanerjee/digital-marketing-pro
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