Queries a local SQLite database with 6.3M+ Apple Health records going back to 2015. You get pre-built commands for daily summaries, weekly trends, sleep analysis, and workout history, plus direct SQL access when you need custom queries. Output formats include Markdown tables, JSON, FHIR R4 bundles with LOINC codes, and ASCII charts for terminal work. The Python script handles common cases well, but you'll want the SQL templates for anything interesting like circadian heart rate patterns or sleep stage analysis. Covers 43 metric types from vitals to mobility data. Most useful if you already export Apple Health and want to slice the data without writing export parsers from scratch.
npx skills add https://github.com/glebis/claude-skills --skill health-data