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.
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Scanned or evaluated by Savant; not yet both passing.
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Safety (NVIDIA SkillSpector)
Risk score
7/100
Recommendation
SAFE
Severity
LOW
Savant decision
Passed
SkillSpector rated the package safe. SkillSpector 2.12.0, static analysis.
1 pattern found
- MCP Rug Pull: npx skillsmedium · SKILL.md:21 · npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
Structure
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SKILL.md
---
name: ecommerce-landing-page
description: "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."
metadata:
nexscope:
emoji: "🖥️"
category: ecommerce
---
# 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](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
## Install
```bash
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](https://github.com/nexscope-ai/eCommerce-Skills)
Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)
Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.