mcpField
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review-monitoring

review-monitoring

github.com/nexscope-aiMarketing & growth1.3k1.1k installsUpdated 9w ago
Repository

About review-monitoring

A skill for e-commerce sellers to plan review monitoring across marketplaces. It covers negative-review alerts, review trends, competitor tracking, and platform-specific response guidance.

Key features

  1. 01Multi-platform review monitoring setup
  2. 02Negative-review alerts and response templates
  3. 03Review velocity and anomaly tracking
  4. 04Competitor review monitoring
  5. 05Platform-specific response guidance
  6. 06Review solicitation compliance guidance

Use cases

  1. 01Set up review tracking across sales platforms
  2. 02Spot unusual increases in negative reviews
  3. 03Plan responses to customer reviews
  4. 04Monitor competitor reviews

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill review-monitoring

After installing, type/review-monitoringin Claude Code to confirm it loaded.

Details

From the project README

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.

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