E-Commerce Personalization 🎯

SkillCommunication

Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the E-Commerce Personalization 🎯 skill

What this skill tells your AI

The instructions your AI receives, as published by nexscope-ai/ecommerce-skills in ecommerce-personalization/SKILL.md and read by ahel’s review.

Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.

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-personalization -g

Usage

I run a Shopify store with 5,000 customers. How do I set up personalization? I want to show different products to different customer segments.

Capabilities

  • Customer segmentation framework (RFM, behavioral, demographic)
  • Product recommendation engine strategy (collaborative, content-based, hybrid)
  • Dynamic content personalization for homepage, PDP, and checkout
  • Personalized email/SMS strategy by customer segment
  • A/B testing framework for personalization
  • Privacy-compliant data collection strategy
  • Tool and app recommendations by platform (Shopify, WooCommerce)

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.

Signals

GitHub stars
908
Forks
116
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
ecommerce-personalization
Source
github.com/nexscope-ai/ecommerce-skills