ecommerce-personalization — Claude Code skill: store personalization
A skill that walks your AI agent through building a personalization plan for an online store: segments, product recommendations, dynamic content and email.
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -a claude-codeWhat ecommerce-personalization does
The skill runs in four steps. It pulls the product, platform, current setup and goals out of your message, then asks one follow-up question in multiple-choice form — shorthand answers like "1b 2c 3a" are fine. After that it works through the frameworks below and returns a structured plan with prioritized actions instead of vague advice.
What it covers: segmentation by RFM, behavior and demographics; recommendation strategy (collaborative, content-based, hybrid); dynamic content for the homepage, product page and checkout; email and SMS by segment; an A/B testing framework; privacy-compliant data collection; and app picks for Shopify and WooCommerce. Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay and BigCommerce are listed as supported, so the tooling advice holds up on those and less so elsewhere.
Estimates built on incomplete data get flagged with a warning marker in the output. Install is one npx skills command, though GitHub Copilot uses a different path.
What it helps with
- split a customer list into segments by recency and purchase frequency
- pick a recommendation engine type that fits your catalog
- show different homepage blocks to first-time and returning buyers
- tie email and SMS campaigns to browsing and order history
- plan an A/B test for personalization without breaking data collection rules
Example prompts for the agent
- I run a Shopify store with 5,000 customers. How do I set up personalization so different segments see different products?
- Help me choose a recommendation strategy for a WooCommerce catalog — collaborative or hybrid
- Draft an email personalization plan by RFM segment for a BigCommerce store
How to install ecommerce-personalization
1Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -a claude-code2Manually: put the files in place
~/.claude/skills/ecommerce-personalization/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/ecommerce-personalization/
1Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -a codex2Manually: put the files in place
.agents/skills/ecommerce-personalization/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -a cursor2Manually: put the files in place
.cursor/skills/ecommerce-personalization/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install nexscope-ai/eCommerce-Skills ecommerce-personalization2Manually: put the files in place
.github/skills/ecommerce-personalization/SKILL.md1Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -a gemini-cli2Platform CLI
gemini skills install https://github.com/nexscope-ai/eCommerce-Skills --path ecommerce-personalizationManually: put the files in place
.devin/skills/ecommerce-personalization/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about ecommerce-personalization
How do I install ecommerce-personalization in Claude?
Run npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -a claude-code. The skill lands in ~/.claude/skills/ecommerce-personalization/SKILL.md.
What does ecommerce-personalization do?
It helps your agent build a store personalization strategy: customer segmentation, product recommendations, dynamic content, email and SMS, A/B testing and platform-specific app picks.
Which store platforms does the skill support?
Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay and BigCommerce are listed. App recommendations are given for Shopify and WooCommerce.
Source text
SKILL.md · MIT
---
name: ecommerce-personalization
description: "Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior."
metadata:
nexscope:
emoji: "🎯"
category: ecommerce
---
# 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](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-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](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.
© nexscope-ai · MIT · nexscope-ai/eCommerce-Skills