What problem does it solve? Manually inspecting plantation staff quarters and recording furniture inventories is slow and inconsistent. This Skill automates the counting and condition-rating of furniture items from a photo, producing a structured JSON inventory without assessing cleanliness or site condition. ## Core Features & Use Cases - Vision-Based Furniture Inventory: Uses the vision_analyze tool to list every visible furniture item with quantity and condition (good/fair/poor). - Multi-Image Merging: Analyzes multiple photos separately, deduplicates overlapping items, and takes the worst condition rating across shots. - Structured JSON Output: Returns a furniture array, total item count, and a one-line summary ready for downstream inspection pipelines. - Use Case: A plantation supervisor photographs a staff quarters room; the Skill returns an inventory like 2 beds, 1 table, 2 chairs, 1 locker with condition ratings, which the site-inspection-storage skill then archives. ## Quick Start Send a photo of the staff quarters room and ask the agent to count the furniture in this image.
