Ecommerce Landing Page

Published by nexscope-ai in ecommerce-skills

No known issues1.3k installs

What this skill does

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.

Add Ecommerce Landing Page to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "ecommerce-landing-page" from https://github.com/nexscope-ai/ecommerce-skills

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

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

Skill instructions

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.

Files included

SKILL.md

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