Clinical-grade deep analysis of Apple Health export data. Parses the XML from iPhone's Health app export and produces a comprehensive clinical-quality health assessment report using 20+ peer-reviewed statistical methods including Granger Causality, Transfer Entropy, Convergent Cross Mapping, Sample Entropy, DFA, Cosinor analysis, Kovatchev glucose risk indices, Bayesian change-point detection, and biological age estimation. Use this skill whenever the user mentions Apple Health data, health export, health XML, CGM data, wants to analyze their fitness/sleep/heart rate/glucose/weight trends, or has an applehealthexport directory in their project. Also trigger when the user asks about health data analysis, wearable data analysis, or wants insights from their Apple Watch or iPhone health data. Even if they just say "analyze my health" or "look at my health data" and there's an Apple Health export nearby, use this skill. Trigger on Chinese equivalents too: "分析健康数据", "健康报告", "Apple Watch 数据".
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryData & analyticsStars0
About this skill
Clinical-grade deep analysis of Apple Health export data. Parses the XML from iPhone's Health app export and produces a comprehensive clinical-quality health assessment report using 20+ peer-reviewed statistical methods including Granger Causality, Transfer Entropy, Convergent Cross Mapping, Sample Entropy, DFA, Cosinor analysis, Kovatchev glucose risk indices, Bayesian change-point detection, and biological age estimation. Use this skill whenever the user mentions Apple Health data, health export, health XML, CGM data, wants to analyze their fitness/sleep/heart rate/glucose/weight trends, or has an applehealthexport directory in their project. Also trigger when the user asks about health data analysis, wearable data analysis, or wants insights from their Apple Watch or iPhone health data. Even if they just say "analyze my health" or "look at my health data" and there's an Apple Health export nearby, use this skill. Trigger on Chinese equivalents too: "分析健康数据", "健康报告", "Apple Watch 数据".
Quick start
Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
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Clinical-grade deep analysis of Apple Health export data. Parses the XML from iPhone's Health app export and produces a comprehensive clinical-quality health assessment report using 20+ peer-reviewed statistical methods including Granger Causality, Transfer Entropy, Convergent Cross Mapping, Sample Entropy, DFA, Cosinor analysis, Kovatchev glucose risk indices, Bayesian change-point detection, and biological age estimation. Use this skill whenever the user mentions Apple Health data, health export, health XML, CGM data, wants to analyze their fitness/sleep/heart rate/glucose/weight trends, or has an `apple_health_export` directory in their project. Also trigger when the user asks about health data analysis, wearable data analysis, or wants insights from their Apple Watch or iPhone health data. Even if they just say "analyze my health" or "look at my health data" and there's an Apple Health export nearby, use this skill. Trigger on Chinese equivalents too: "分析健康数据", "健康报告", "Apple Watch 数据".
About this listing
Category
Data & analytics
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.