Skip to content
FunCoding

ecommerce-review-analysis

Star
2,173
License
MIT
Last commit
Oct 12, 2026

resources/builtin/marketplace/skills/e8868f762c1d/SKILL.md

View on GitHub

Ecommerce Review Analysis

  1. Identify the corpus and intended decision. Read data preparation to map fields, deduplicate and preserve platform/product/variant/time boundaries.
  2. Use VOC taxonomy to label purchase scenarios, positive drivers and complaints. Retain a link from each theme to actual anonymized source records.
  3. Use root causes and actions to separate symptoms from hypotheses and prioritize corrective work.
  4. Deliver the evidence-led summary at the requested depth. Report what the sample supports, what it excludes and the next useful validation.

Supplied CSV, spreadsheet, JSON or document exports require no external data provider. Public reputation samples are supplementary, not complete seller analytics. This Skill ships no review scraper. Do not treat rating, text sentiment, verified purchase or fraud suspicion as interchangeable facts.

Similar Skills

research

MAmattpocock/skills288k10,178 new stars in the last 7 days

benchmark-methodology

AFaffaan-m/ECC278k4,046 new stars in the last 7 days

investigate

GAgarrytan/gstack136k883 new stars in the last 7 days

banner-design

NEnextlevelbuilder/ui-ux-pro-max-skill135k1,864 new stars in the last 7 days

brand

NEnextlevelbuilder/ui-ux-pro-max-skill135k1,864 new stars in the last 7 days

Official

email-marketing

NEnexu-io/open-design101k1,126 new stars in the last 7 days