A strategic brand protection system for Amazon sellers to analyze reviews, improve product quality, and manage feedback through official compliance channels.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-review-advisor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install amazon-review-advisor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Amazon Review Advisor?
The Amazon Review Advisor is designed as a brand shield and emotional immunity system for professional sellers. By utilizing Openclaw Skills, this tool moves beyond simple review monitoring to provide deep sentiment analysis and root cause identification for customer feedback. It helps sellers distinguish between genuine product issues that require internal iteration and abnormal reviews that violate platform policies.
This skill empowers teams to transform the review section into a brand asset rather than a source of stress. It provides actionable insights for factory production, logistics reinforcement, and detail page optimization, ensuring every piece of feedback contributes to the product's long-term success and customer satisfaction.
Amazon Review Advisor Use Cases
- Rapid analysis of sudden spikes in negative reviews to identify root causes.
- Extracting product improvement ideas and features for version 2.0 iterations.
- Creating standardized SOPs for professional, bilingual customer service responses.
- Identifying and documenting policy-violating reviews for official reporting to Amazon Seller Central.
How Amazon Review Advisor Works
- Input product information such as ASIN, product name, and the specific review text to be analyzed.
- The skill performs sentiment classification (Positive, Negative, Neutral) and categorizes issues into logistics, quality, sizing, packaging, or service.
- It assesses problem severity and flags abnormal patterns that may indicate malicious competition or policy violations.
- The system generates internal suggestions for factory and operations teams alongside professional bilingual response templates.
- It provides a strategic roadmap for requesting new reviews through official channels during the 3-7 day golden window.
Amazon Review Advisor Setup
To get started with this skill, ensure you have the environment ready and use the following commands:
# Install the skill via the package manager
openclaw install amazon-review-advisor
# Run the analysis by providing your product and review data
openclaw run amazon-review-advisor --data review_input.json
Amazon Review Advisor Data Schema & Taxonomy
| Data Point | Description | Categorization |
|---|---|---|
| Sentiment Label | Emotional tone of the customer | Positive, Neutral, Negative |
| Focus Points | Specific area of complaint | Logistics, Quality, Size, Service, etc. |
| Severity | Urgency level for the brand | High, Medium, Low |
| Response Templates | Ready-to-use bilingual text | English / Chinese |
| Improvement Path | Actionable steps for the team | Factory, Ops, or Logistics |
Amazon Review Advisor Advanced Features
- Collective Complaint Pattern Recognition: Identify if specific issues are linked to a single production batch.
- Competitor Comparison Insights: Analyze how customers compare your product to other brands mentioned in reviews.
- Compliance-First Reporting Logic: Step-by-step guidance for reporting reviews that include personal attacks or private information.
- Strategic Review Timing: Calculation of the optimal 3-7 day window for official Amazon review requests.
SKILL.md
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