ecommerce-landing-page
This Claude Code skill audits and optimizes e-commerce landing pages across platforms including Shopify, WooCommerce, Amazon, and Etsy by analyzing call-to-action placement, trust signals, page structure, and copy effectiveness. Use it when launching product pages or campaigns and needing conversion rate improvements, mobile optimization guidance, or A/B testing strategies with prioritized recommendations.
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills /tmp/ecommerce-landing-page && cp -r /tmp/ecommerce-landing-page/ecommerce-landing-page ~/.claude/skills/ecommerce-landing-pageSKILL.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](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.
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