Product Review Analysis
This analyzes customer reviews from Amazon, Shopify, Etsy, and other e-commerce platforms to extract patterns you can act on. It categorizes pain points, tracks sentiment over time, and scores feature satisfaction instead of just dumping raw feedback at you. The workflow is tight: it asks one follow-up question in multiple choice format, then delivers prioritized recommendations with specific data points. Built by Nexscope for sellers who need to turn hundreds of reviews into concrete product improvements. Works best when you point it at negative or mixed reviews where the improvement opportunities actually live.
- skills.sh installs
- 1.4K
- GitHub stars
- 1.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add nexscope-ai/ecommerce-skills --skill product-review-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
Product Review Analysis ⭐
Transform customer reviews into actionable product and marketing intelligence. Extract insights, identify opportunities, optimize offerings.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill product-review-analysis -g
Usage Examples
Product improvement insights:
"Analyze reviews for my wireless headphones - what are customers complaining about most?"
Competitive review intelligence:
"Compare customer sentiment between my product and top 3 competitors from their reviews"
Feature development guidance:
"What features are customers requesting most in fitness tracker reviews?"
Core Capabilities
1. Sentiment Analysis & Classification
- Overall sentiment scoring and trend analysis
- Emotion detection and customer satisfaction measurement
- Review authenticity assessment and quality filtering
- Temporal sentiment tracking and pattern identification
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- Repository
- github.com/nexscope-ai/ecommerce-skills
- Categories
- Git & Pull Requests, Code Review & Quality
- First seen
- Jun 3, 2026
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