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Listing Feature Engagement Optimizer
Take a property's raw feature inventory — what's actually in the house, on the lot, and in the neighborhood — and produce a research-backed prioritization that tells the agent exactly which three features to lead with, which five to support with, and which to deemphasize or omit. The output is not the listing copy itself; it is the strategic hand-off that upstream-feeds `listing-description-writer.md`, `listing-content-multiplier.md`, and `listing-aeo-optimizer.md` so each downstream skill leads with features that measurably drive buyer engagement (views, saves, shares, tour requests) rather than generic real-estate filler. The skill exists because April 2026 research (Zillow's 600-feature engagement analysis published 4/16/2026) confirmed that the features a listing leads with can swing daily engagement 10–20% — a compounding effect over the critical first-7-day window when engagement velocity correlates with sale price and days-on-market.
This skill is kept in sync with KRASA-AI/real-estate-ai-skills — updated daily from GitHub.