Query Apple Health SQLite data and export summaries as Markdown, JSON, or FHIR R4.
npx skills add https://github.com/pinion05/skills --skill health-data
Please help me install this Agent Skill. Skill: health-data Source: https://github.com/pinion05/skills/tree/main/health-data Command: npx skills add https://github.com/pinion05/skills --skill health-data
Apple Health data is often siloed and requires manual queries to extract insights. This Skill enables querying a local Apple Health SQLite database and generating structured, exportable outputs to support health analysis and reporting.
Run the daily summary in Markdown: python ~/.claude/skills/health-data/scripts/health_query.py daily --date 2025-11-29 View weekly trends in JSON: python ~/.claude/skills/health-data/scripts/health_query.py weekly --weeks 4 --format json For ad-hoc queries: python ~/.claude/skills/health-data/scripts/health_query.py query "SELECT * FROM workouts LIMIT 5"
High-intent search queries and answers about installing and using this skill.
You can query and summarize Apple Health data from a local SQLite database by running the included Python script, which analyzes vitals, activity, sleep, and workouts deterministically using only Python's standard library.
Yes, you can export Apple Health data to FHIR R4 bundles. The skill generates output in Markdown, JSON, and FHIR R4 formats, enabling interoperability with health systems and analytics pipelines.
To generate a daily health snapshot in Markdown, run the Python script with the daily command and specify the target date. It summarizes vitals, activity, sleep, and workouts from the local health database.
No, you do not need to install external Python packages to analyze Apple Health data locally. The skill relies entirely on Python's standard library to query the SQLite database and produce deterministic results.
The best way to extract weekly health trends into JSON format is to run the Python script with the weekly command, specifying the number of weeks and the JSON output format for analytics pipeline ingestion.
Yes, you can run ad-hoc SQL queries directly against your local health database. The script supports a query mode that accepts standard SQL statements, such as selecting specific workout records with limits.
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