Review Monitoring 👁️
Set up systematic review monitoring across e-commerce platforms. Track new reviews, detect negative review spikes, monitor competitor reviews, and automate review response workflows.
Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
Install
CODEBLOCK0
Usage
CODEBLOCK1
Capabilities
- - Multi-platform review monitoring setup (Amazon, Etsy, Walmart, Shopify)
- Negative review alert framework and response templates
- Review velocity tracking and anomaly detection
- Competitor review monitoring strategy
- Review response best practices by platform
- Review solicitation compliance guide (per platform rules)
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.
评论监控 👁️
在各大电商平台建立系统化的评论监控机制。追踪新评论、检测负面评论激增、监控竞品评论,并自动化评论回复流程。
支持平台: Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
由 Nexscope 构建 — 您的智能电商决策AI助手。
安装
bash
npx skills add nexscope-ai/eCommerce-Skills --skill review-monitoring -g
使用示例
为我的产品设置评论监控系统。我在Amazon(3个ASIN)和Etsy(15个商品)上销售。我希望在24小时内捕捉到负面评论。
功能特性
- - 多平台评论监控设置(Amazon、Etsy、Walmart、Shopify)
- 负面评论预警框架及回复模板
- 评论速率追踪与异常检测
- 竞品评论监控策略
- 各平台评论回复最佳实践
- 评论征集合规指南(按平台规则)
技能运作方式
步骤1: 从用户消息中收集信息 — 产品、平台、当前状况及目标。
步骤2: 使用多选题格式提出一个后续问题,涵盖所有剩余疑问。允许简写答案(例如1b 2c 3a)。
步骤3: 运用以下框架和方法进行调研分析。
步骤4: 输出结构化、可执行的建议,提供具体方案而非模糊建议。
输出格式
- - 以发现总结开头
- 尽可能包含具体数据点和基准值
- 提供优先执行事项
- 基于不完整数据的估算用⚠️标注
- 以具体后续步骤结尾
其他技能
更多电商技能:nexscope-ai/eCommerce-Skills
Amazon专属技能:nexscope-ai/Amazon-Skills
由 Nexscope 构建 — 您的智能电商决策AI助手。