Summary
This does conversion audits for ecommerce landing pages across major platforms like Shopify, Amazon, and WooCommerce. You feed it a URL and context (traffic source, current conversion rate), it asks one follow-up question, then gives you prioritized fixes for CTAs, hero sections, trust signals, and mobile optimization. The workflow is tight: collect info, ask clarifying questions with multiple choice answers, analyze, then deliver specific recommendations instead of generic advice. Useful when you're staring at a 0.8% conversion rate and need to know what's actually broken. Covers product pages, collection pages, and campaign landing pages, plus it'll build you an A/B testing plan with hypotheses ranked by potential impact.
Install to Claude Code
npx -y skills add nexscope-ai/ecommerce-skills --skill ecommerce-landing-page --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.mdView on GitHub
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.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
