The Nightscout CGM Skill leverages GitHub Copilot to facilitate blood glucose analysis for diabetes management. This Python-based tool empowers users with real-time insights and data visualization to enhance their health monitoring experience.
claude install shanselman/nightscout-cgm-skillThe Nightscout CGM Skill leverages GitHub Copilot to facilitate blood glucose analysis for diabetes management. This Python-based tool empowers users with real-time insights and data visualization to enhance their health monitoring experience.
Analyze blood glucose data trends
Visualize glucose levels over time
Integrate with diabetes management systems
Provide insights for dietary adjustments
claude install shanselman/nightscout-cgm-skillgit clone https://github.com/shanselman/nightscout-cgm-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need to analyze my blood glucose data from Nightscout using Python. Here's my data: [DATA]. I want to create a visualization that shows trends over the last 7 days. Can you help me write a Python script using libraries like matplotlib or seaborn to generate this visualization?
# Blood Glucose Analysis Report ## 7-Day Glucose Trend Based on your Nightscout data, here's a visualization of your blood glucose trends over the past week:  ### Key Observations: - **Morning Glucose Levels**: Your glucose levels tend to be highest in the morning, with an average of 145 mg/dL. - **Post-Meal Spikes**: Significant spikes are observed after lunch, with an average increase of 60 mg/dL. - **Nighttime Stability**: Your nighttime glucose levels are relatively stable, averaging around 100 mg/dL. ## Recommendations: - **Monitor Morning Levels**: Consider adjusting your morning insulin dosage to better manage high morning glucose levels. - **Post-Meal Management**: Implement strategies to control post-meal spikes, such as adjusting carbohydrate intake or insulin dosage. - **Consistent Monitoring**: Continue monitoring nighttime levels to ensure stability. For a more detailed analysis, you can explore the full dataset and customize the visualization further.
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