dexa-scan

Analyze DEXA scan data by retrieving records from the persistent bodyspec_dexa_history.json file to generate a structured report comparing body fat, lean mass, and visceral fat across multiple scans. It automatically compares current results against prior records to highlight meaningful trend changes over time.

A DEXA body composition report includes structured summaries of bone density, visceral fat, lean mass, and body fat metrics. It provides context-aware insights by comparing current results against prior scan records to track meaningful changes in overall body composition over time.

Compare Bodyspec DEXA results by reading the persistent history file data/bodyspec_dexa_history.json and applying trend analysis to contrast current scan metrics with prior records. The skill automatically highlights changes in fat, lean mass, and visceral fat across your scan history.

Yes, you need the persistent history file data/bodyspec_dexa_history.json to track body composition changes. This JSON file stores your aggregated Bodyspec DEXA scan history, which the skill reads to compare current results with prior records and generate structured trend reports.

Yes, you can use Python with the requests and python-dotenv libraries to retrieve and interpret Bodyspec DEXA scan data. The skill executes Python scripts to read historical scan files, apply trend analysis, and generate context-aware body composition insights.