nexscope-ai/ecommerce-skills

ecommerce-personalization

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

First seen Mar 24, 2026

Installation

$ npx skills add nexscope-ai/ecommerce-skills --skill ecommerce-personalization

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 886
License MIT
Default branch main
Open issues 3
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

More metadata
nexscope
{"emoji":"🎯","category":"ecommerce"}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,487 B
  • docs SUMMARY.md 219 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 818 installs

SKILL.md

E-Commerce Personalization 🎯

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.