nexscope-ai/ecommerce-skills

ecommerce-landing-page

Audit and optimize e-commerce landing pages for conversion. CTA placement, trust signals, page structure, copy optimization, and A/B testing strategy for product pages, collection pages, and campaign landing pages.

Trending #7883 First seen Mar 24, 2026

Installation

$ npx skills add nexscope-ai/ecommerce-skills --skill ecommerce-landing-page

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More details

Agent compatibility

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Repository health

Stars 886
License MIT
Default branch main
Open issues 3
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

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nexscope
{"emoji":"🖥️","category":"ecommerce"}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,486 B
  • docs SUMMARY.md 241 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 983 installs

SKILL.md

E-Commerce Landing Page 🖥️

Audit and optimize e-commerce landing pages for conversion. CTA placement, trust signals, page structure, copy optimization, and A/B testing strategy for product pages, collection pages, and campaign landing pages.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-landing-page -g

Usage

Audit my Shopify landing page for our summer collection launch. Conversion rate is 0.8%. I'm driving traffic from Meta ads.

Capabilities

  • Landing page conversion audit (CTA, fold, trust signals, friction)
  • Hero section optimization (headline, subheadline, CTA, hero image)
  • Social proof placement strategy (reviews, testimonials, press mentions)
  • Mobile conversion optimization
  • Page speed impact analysis
  • Copy optimization framework (benefit-driven, objection-handling)
  • A/B testing plan with hypothesis prioritization

How This Skill Works

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Output Format

  • Start with a summary of findings
  • Include specific data points and benchmarks where available
  • Provide prioritized action items
  • Mark estimates with ⚠️ when based on incomplete data
  • End with concrete next steps

Other Skills

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.