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ecommerce-landing-page

ecommerce-landing-page

github.com/nexscope-aiMarketing & growth1.3k1.4k installsUpdated 9w ago
Repository

About ecommerce-landing-page

An e-commerce landing page audit and optimization skill for operators improving conversion. It covers calls to action, trust signals, copy, mobile usability, and prioritized A/B testing plans.

Key features

  1. 01Landing page conversion audit
  2. 02Hero section optimization
  3. 03Social proof placement guidance
  4. 04Mobile conversion optimization
  5. 05Page speed impact analysis
  6. 06Copy optimization and A/B test planning

Use cases

  1. 01Review a Shopify page for a collection launch
  2. 02Improve calls to action and trust signals on product pages
  3. 03Plan landing page tests for an ad campaign

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill ecommerce-landing-page

After installing, type/ecommerce-landing-pagein Claude Code to confirm it loaded.

Details

From the project README

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.

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