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Amazon评论深度分析

面向电商评论的深度分析技能,按“收集信息—多选追问—研究分析—结构化输出”流程,提炼情感主题、重复投诉、功能需求、竞品对比和 UGC 营销素材,并给出优先级建议;未声明自动抓取评论或外部数据接口。

bettermen
bettermen
热度 73.73
最近更新 2026-06-18 20:56:18
分类:营销依赖:纯提示词应用场景:市场分析 / 报告撰写 / 推荐 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add amazon-review-analyzer
Metadata
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/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 — 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.