amazon-review-analyzer

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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.

AI & Automation 200 stars 32 forks Updated 6 days ago MIT

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Skill Content

# Amazon Review Analyzer ๐Ÿ’ฌ 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](https://www.nexscope.ai/?co-from=skill) โ€” your AI assistant for smarter e-commerce decisions. ## Install ```bash 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 โ€” 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...

Details

Author
nexscope-ai
Repository
nexscope-ai/Amazon-Skills
Created
2 months ago
Last Updated
6 days ago
Language
Python
License
MIT

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