amazon-review-analyzer

bynexscope-aiBeta

Deep review analysis — sentiment, complaints, feature requests, competitive insights.

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

Installation

Send this command to your AI agent:

npx skills add https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-review-analyzer --skill amazon-review-analyzer

Documentation

---

name: amazon-review-analyzer

description: "Deep-dive Amazon review analysis. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from product reviews. Turn customer feedback into product improvement and marketing opportunities."

metadata:

nexscope:

emoji: "💬"

category: amazon

---

Amazon Review Analyzer 💬

Deep-dive Amazon review analysis. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from product reviews. Turn customer feedback into product improvement and marketing opportunities.

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/Amazon-Skills --skill amazon-review-analyzer -g

Usage

Analyze the reviews for my competitor's yoga mat (has 2,500 reviews, 4.2 stars). What are customers complaining about that I can fix in my product?

Capabilities

Sentiment analysis across star ratings (positive/negative/neutral themes)
Recurring complaint identification and severity ranking
Feature request extraction from customer language
Competitor review comparison (what customers like about alternatives)
UGC (user-generated content) mining for marketing copy
Review-based product improvement priority matrix

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