nexscope-ai/ecommerce-skills

ecommerce-personalization

Design personalization strategies for e-commerce stores.

Ver código-fonte

Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill ecommerce-personalization

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

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

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

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

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