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BytesAgain β€Ί Skills β€Ί Amazon Review Analyzer
πŸ¦€ ClawHub

Amazon Review Analyzer

by @nexscope

Deep Amazon review analysis for competitive intelligence and product improvement. Extract sentiment patterns, recurring complaints, feature requests, and com...

Versionv1.0.1
Downloads394
Installs1
#ecommerce#legal
TERMINAL
clawhub install amazon-review-analyzer

πŸ“– About This Skill

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: "πŸ’¬" category: amazon

Amazon Review Analyzer πŸ’¬

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 β€” your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-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 β€” 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 β€” your AI assistant for smarter e-commerce decisions.

    πŸ’‘ Examples

    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?