dealer-customer-sentiment-analyzerlisted

# Dealer Customer Sentiment Analyzer This skill reads car dealership customer reviews and produces an honest analysis of what customers are actually saying. It identifies department-level sentiment, recurring themes, named-staff mentions, trends over time, and reviews that warrant a response. The framework, the analysis dimensions, and the sentiment scoring methodology are in `REFERENCE.md`. Common dealer sentiment patterns (frequent praise patterns, frequent complaint patterns, leadership signals) are in `PATTERNS.md`. Authored by Ariel Coro of Dealer AI Guy. ## Why this matters Most dealer principals do not actually read their reviews. They glance at the star rating, look at the latest complaint, and move on. The systematic patterns — what customers consistently praise, what consistently frustrates, which advisor is getting called out by name, whether sentiment is improving or declining — sit in plain sight in the review data and never reach the leadership conversation. This skill changes that. It reads everything, surfaces the patterns honestly, and tells the dealer principal what they need to know to act. ## The honesty rule A 4-star review can be functionally negative ("good people, but they could not fix the issue and I had to come back twice"). A 5-star review can mask a deep service problem ("everyone was nice but my car was in the shop for 9 days"). Star ratings are one signal, not the truth. The skill reads the actual text. The sentiment analysis is based on