Analyze CGM CSV data to compute glycemic metrics and generate reports.
npx skills add https://github.com/zinojeng/cgm_skill --skill cgm-analyzer
Please help me install this Agent Skill. Skill: cgm-analyzer Source: https://github.com/zinojeng/cgm_skill/tree/main/. Command: npx skills add https://github.com/zinojeng/cgm_skill --skill cgm-analyzer
This Skill eliminates the tedious, manual process of analyzing Continuous Glucose Monitor (CGM) data. It transforms raw glucose readings into actionable, AI-driven insights, saving you time and reducing the complexity of managing diabetes. Get clear reports and personalized recommendations without needing to be a data expert.
To get started, provide your CGM data in CSV format. For example, you can say: Analyze the attached 'my_glucose_data.csv' and give me a full report with AI recommendations.
High-intent search queries and answers about installing and using this skill.
CGM data analysis transforms raw glucose readings into actionable metrics. This Skill processes CSV exports from Dexcom, FreeStyle Libre, and Guardian devices, calculating Time in Range (TIR), Glycemic Risk Index (GRI), and Glucose Management Indicator (GMI) automatically, then visualizes trends with AGP charts and pie charts.
Yes. This Skill applies AI models (GPT-4o, GPT-5) to your computed glucose metrics to generate tailored recommendations on insulin adjustments, dietary choices, exercise routines, and risk prevention strategies based on your unique patterns.
CGM analysis computes glycemic metrics including Time in Range (TIR), Time Above Range (TAR), Time Below Range (TBR), Coefficient of Variation (CV), Standard Deviation (SD), Mean Absolute Glucose Excursion (MAGE), Glucose Management Indicator (GMI), and Glycemic Risk Index (GRI).
This Skill handles batch processing of multiple CGM CSV exports through CSV parsing, data cleaning, and time-series alignment, then generates professional reports with computed metrics and AI-driven recommendations suitable for routine monitoring and automated daily reporting workflows.
Yes. The Skill supports CSV data from multiple CGM devices—Dexcom, FreeStyle Libre, Guardian, and others—normalizing formats through parsing and cleaning so you can analyze data across different devices in the same workflow.
You need CGM data in CSV format from your glucose monitor. Upload your file and the Skill handles the rest: CSV parsing, metric computation, visualization generation, and AI recommendations. No data science expertise required.
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