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amazon-review-analyzer

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English
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Chinese

Amazon Review Analyzer 💬

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.
深度分析亚马逊评论。从产品评论中提取情感模式、常见投诉、功能需求以及竞品洞察。将客户反馈转化为产品改进和营销机遇。
支持平台： Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
由Nexscope打造——助力您做出更明智电商决策的AI助手。

Install

安装

bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-review-analyzer -g
bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-review-analyzer -g

Usage

使用示例

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?
分析竞品瑜伽垫的评论（该产品有2500条评论，评分4.2星）。客户在抱怨哪些问题是我可以在自己产品中解决的？

Capabilities

功能特性

  • 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
  • 基于星级评分的情感分析（正面/负面/中性主题）
  • 识别常见投诉并进行严重程度排序
  • 从客户表述中提取功能需求
  • 竞品评论对比（客户对竞品的喜爱点）
  • 挖掘用户生成内容（UGC）用于营销文案
  • 基于评论的产品改进优先级矩阵

How This Skill Works

该Skill的工作流程

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.
步骤1： 从用户消息中收集信息——产品、平台、现状及目标。
步骤2： 以选择题形式提出所有剩余问题作为跟进提问，允许简短回答（例如："1b 2c 3a"）。
步骤3： 使用以下框架和方法进行调研分析。
步骤4： 提供结构化、可执行的输出，包含具体建议，而非模糊的指导。

Output Format

输出格式

  • 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
  • 以调研结果摘要开头
  • 尽可能包含具体数据点和基准指标
  • 提供优先级排序的行动项
  • 基于不完整数据得出的估算结果需标记⚠️
  • 以具体的后续步骤结尾

Other Skills

其他Skill

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.
更多电商Skill：nexscope-ai/eCommerce-Skills
亚马逊专属Skill：nexscope-ai/Amazon-Skills
由Nexscope打造——助力您做出更明智电商决策的AI助手。