데이터

review-analyzer-skill

Analyzes e-commerce reviews using 22-dimension AI tagging to extract customer profiles, pain points, VOC, product opportunities, anomaly signals, reports, dashboards, and optional Feishu outputs.

★ 128 GitHub Stars
88 품질 점수
1 파일

이 Skill 소개

review-analyzer-skill是由buluslan(公众号:新西楼.AI)研发的电商评论深度分析Skill(VOC 客户之声分析),他会帮你把一堆产品评论变成一份能落地的决策依据——22 维 AI 打标提炼用户画像、痛点和真实需求,输出 15 章深度洞察报告和可视化看板,从差评里挖出产品优化机会点、从好评里找到爆款基因。 更多跨境电商 AI 实战内容,请关注公众号「新西楼.AI」。 Deep-dive e-commerce review & VOC analysis: 22-dimension AI tagging, 15-chapter insight report with anomaly signal cards, 6 themed visualization dashboards, CSV-primary multi-source input (SellerSprite optional), Feishu sync. 当用户需要以下功能时触发:分析电商产品评论(Amazon等平台)/ 从评论中提取用户画像、痛点和VOC(客户之声)/ 生成产品洞察报告和机会点分析 / 创建可视化分析看板 / 通过卖家精灵获取评论数据(可选增强;CSV为主源)/ 将分析结果同步到飞书文档。 触发关键词:电商评论分析、评论分析、竞品分析、用户洞察、VOC分析、产品优化、市场调研、评论数据挖掘、卖家精灵、sellersprite。 NOT for 关键词调研/选品雷达类任务(那些有专门工具)。

사용 사례

  • Analyze Amazon and other e-commerce product reviews
  • Extract customer profiles, needs, and pain points
  • Identify product improvement opportunities
  • Generate insight reports and visualization dashboards
  • Sync analysis results to Feishu

기능

  • 22-dimension review tagging system
  • 15-chapter insight report with anomaly signal cards
  • Six visualization dashboard themes
  • CSV-first input with optional SellerSprite source
  • Optional Feishu document and chart synchronization

요구 사항

  • Python
  • pandas
  • jinja2
  • requests
  • python-dotenv

지원 Agent

Claude Code OpenCode

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