/digital-marketing-pro:landing-page-audit
SkillCommunicationLets your agent audit a landing page for conversion issues and get scored fixes.
Use /digital-marketing-pro:landing-page-audit in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add /digital-marketing-pro:landing-page-audit and connect your AI. About a minute.
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.
About this skill
Audit 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 ran
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/indranilbanerjee/digital-marketing-pro/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
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Others that do the same job
Advanced
- Item type
- skill
- Key
landing-page-audit- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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