R

review-monitoring

Par :nexscope-aiBeta

Review monitoring — negative review alerts, competitor tracking, response workflows.

Beta skill: functional and available to install, but still being reviewed and improved by the Nexscope team.

Installation

Envoyez cette commande à votre agent IA :

npx skills add https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-monitoring --skill review-monitoring

Documentation

---

name: review-monitoring

description: "Set up systematic review monitoring across e-commerce platforms. Track new reviews, detect negative review spikes, monitor competitor reviews, and automate review response workflows."

metadata:

nexscope:

emoji: "👁️"

category: ecommerce

---

Review Monitoring 👁️

Set up systematic review monitoring across e-commerce platforms. Track new reviews, detect negative review spikes, monitor competitor reviews, and automate review response workflows.

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 review-monitoring -g

Usage

Set up a review monitoring system for my products. I sell on Amazon (3 ASINs) and Etsy (15 listings). I want to catch negative reviews within 24 hours.

Capabilities

  • Multi-platform review monitoring setup (Amazon, Etsy, Walmart, Shopify)
  • Negative review alert framework and response templates
  • Review velocity tracking and anomaly detection
  • Competitor review monitoring strategy
  • Review response best practices by platform
  • Review solicitation compliance guide (per platform rules)

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.

Links

GitHub