Amazon Review Analyzer
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Please install @user_507a5056/review-analyzer-pro according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem Context
Amazon review stars, keywords, trends, and competitor gaps are often scattered across large text volumes and historical windows. Manual collection and interpretation can miss sample bias, and it is hard to separate direct data readings from strategic advice. Amazon Review Analyzer turns collection, analysis, and report archiving into an auditable CLI workflow.
How It Works
- Check account state first: run
checkin each session to confirm email verification, credits, and usable balance. - Quote before paying: for VOC reports, run
vocto get the total price; only after explicit user confirmation, append--confirmto collect, wait, analyze, and archive. - Support common analysis paths: beyond
voc, it supportscollect,charts,deepdive,analyze, and competitor comparison acrossamz_us,amz_uk,amz_de,amz_jp,amz_ca,amz_fr,amz_es, andamz_it. - Keep outputs traceable: results distinguish 📊 direct data readings, 🔍 data-based reasoning, and 💡 strategy suggestions, and should end with the command, ASIN, site, sample size, statistical window,
reportId,creditsUsed, andreportUrl.
Boundaries And Cautions
- Small samples or limited collection windows make conclusions only operational reference points; validate with additional sources.
- After a paid command is interrupted, do not retry immediately; check whether a report was already generated to avoid duplicate charges.
- If the version is too old, credits are insufficient, rate limits apply, or email is unverified, stop paid operations or handle the account issue rather than fabricating data the API did not return.
Use Cases
- Sellers investigate a recent drop in an ASIN's star rating by collecting reviews and generating a VOC report to identify negative keywords.
- Operations compare review themes between their product and a competitor after confirming both have at least 10 reviews and running a compare analysis.
- Product managers review negative-trend patterns over a specified 90-day window using charts or deepdive and export the report.
- Customer support teams read archived reports to separate direct data, reasoning, and suggestions when drafting response guidelines.
Best For
- Cross-border e-commerce sellers who need to diagnose star-rating issues for an ASIN and produce a traceable VOC report.
- E-commerce operations staff who need to compare review themes between their product and competitors to find negative gaps and improvements.
- Product managers who need to read sample size, statistical window, and trend signals from review data to support listing or feature changes.
- Customer support leads who need to turn API review reports into concrete customer-response guidelines.
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