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product-page-seo

product-page-seo

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

About product-page-seo

product-page-seo is an SEO skill for e-commerce sellers improving product pages. It evaluates page elements, structured data, images, speed, and mobile usability, then provides prioritized recommendations.

Key features

  1. 01Audit title, meta description, H1, and URL
  2. 02Recommend Product, Review, and FAQ schema
  3. 03Improve image alt text and file size
  4. 04Suggest page speed and mobile usability fixes
  5. 05Plan internal links and content enrichment

Use cases

  1. 01Diagnose low organic traffic to a Shopify product page
  2. 02Plan SEO updates for an Amazon or Etsy listing

Install

Copy the command and run it in a terminal.

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

After installing, type/product-page-seoin Claude Code to confirm it loaded.

Details

From the project README

Product Page SEO 🔎

Optimize e-commerce product pages for search engine visibility. On-page SEO, structured data, page speed, mobile optimization, and content strategy for Google, Bing, and platform-specific search.

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 product-page-seo -g

Usage

Audit the SEO of my Shopify product page for a yoga mat. URL: [paste URL]. I'm getting zero organic traffic from Google.

Capabilities

  • Product page SEO audit framework (title tag, meta description, H1, URL)
  • Structured data markup (Product schema, Review schema, FAQ schema)
  • Image optimization (alt text, file size, WebP conversion)
  • Page speed optimization recommendations
  • Mobile usability optimization
  • Internal linking strategy for product pages
  • Content enrichment (FAQs, buying guides, comparison tables)

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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