indranilbanerjee/landing-page-audit
skills/landing-page-audit/SKILL.md
Audit landing pages. Use when: scoring above-fold clarity, trust signals, form friction, message match, or mobile UX.
$ install --global
skillsauthnpx skillsauth add indranilbanerjee/digital-marketing-pro landing-page-auditInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: May 9, 2026, 2:56 AM323.6s1 file scanned
SKILL.md
- name:
- landing-page-audit
- description:
- Audit landing pages. Use when: scoring above-fold clarity, trust signals, form friction, message match, or mobile UX.
- argument-hint:
- [URL]
/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.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
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