# health-data

Queries a local Apple Health SQLite database for vitals, sleep, activity, and workouts with output in Markdown, JSON, ASCII, or FHIR R4.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 393 installs · ★ 400
- Author: glebis
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/glebis/claude-skills/tree/HEAD/health-data/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/health-data

## What it does

This skill connects your coding agent to a local SQLite database at `~/data/health.db`. The database contains 6.3M+ records across 43 metrics, from heart rate and sleep stages to mobility and workout logs. The agent accesses data through `scripts/health_query.py` or by executing direct SQL queries via `sqlite3`.

Output formats include Markdown tables, structured JSON, terminal ASCII charts, and FHIR R4 bundles mapped with LOINC codes. Pre-built commands let the agent inspect daily summaries, compute week-over-week trends, analyze deep sleep hours, and check activity rings.

The skill will fail immediately if `~/data/health.db` does not exist. You must export your Apple Health data and import it into SQLite beforehand.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add glebis/claude-skills --skill health-data -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/health-data/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/health-data/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add glebis/claude-skills --skill health-data -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/health-data/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add glebis/claude-skills --skill health-data -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/health-data/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install glebis/claude-skills health-data
```

2. **Manually: put the files in place**
- File: `.github/skills/health-data/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add glebis/claude-skills --skill health-data -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/glebis/claude-skills --path health-data
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/health-data/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add glebis/claude-skills --skill health-data -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/glebis/claude-skills/tree/HEAD/health-data/SKILL.md

## When to use it
- query daily summaries for steps, calories, and heart rate
- inspect sleep stages across deep and REM sessions
- export Apple Health metrics into FHIR R4 Bundles
- review workout history filtered by exercise type

## Example prompts
- Show my daily health summary for 2025-11-29 in markdown format
- Analyze my sleep stages over the past 14 days using scripts/health_query.py
- Run a query on ~/data/health.db to compare resting heart rate weekly trends

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: c181f44b5a44386c.

BEGIN THIRD-PARTY FILE c181f44b5a44386c
````text
---
name: health-data
description: Query Apple Health SQLite database for vitals, activity, sleep, and workouts. Supports Markdown, JSON, and FHIR R4 output formats. This skill should be used when analyzing health metrics, generating health reports, answering questions about fitness or sleep patterns, or exporting health data in standard formats.
---

# Apple Health Data Query Skill

Query and analyze health data from the local SQLite database containing 6.3M+ records across 43 health metrics.

## Database Location

```
~/data/health.db
```

## Query Methods

### 1. Python Script (Recommended for Common Queries)

Use `scripts/health_query.py` for pre-built queries with automatic formatting:

```bash
# Daily summary
python ~/.claude/skills/health-data/scripts/health_query.py --format markdown daily --date 2025-11-29

# Weekly trends
python ~/.claude/skills/health-data/scripts/health_query.py --format json weekly --weeks 4

# Sleep analysis
python ~/.claude/skills/health-data/scripts/health_query.py --format fhir sleep --days 7

# Latest vitals
python ~/.claude/skills/health-data/scripts/health_query.py vitals

# Activity rings
python ~/.claude/skills/health-data/scripts/health_query.py --format json activity --days 30

# Workout history
python ~/.claude/skills/health-data/scripts/health_query.py workouts --days 30 --type Running

# Custom SQL
python ~/.claude/skills/health-data/scripts/health_query.py --format json query "SELECT * FROM workouts LIMIT 5"
```

**Output formats:** `markdown`, `json`, `fhir`, `ascii`

### 2. Direct SQL (For Custom/Ad-hoc Queries)

For flexible queries, run SQL directly against the database. See `references/schema.md` for table structures and query templates.

```bash
sqlite3 ~/data/health.db "SELECT AVG(value) FROM health_records WHERE record_type LIKE '%HeartRate%' AND start_date LIKE '2025-11%'"
```

## Pre-built Queries

### Daily Health Summary

Get today's key metrics:
```bash
python ~/.claude/skills/health-data/scripts/health_query.py daily
```

Returns: steps, calories, heart rate (avg/min/max), exercise minutes, distance, activity ring status.

### Weekly Trends

Compare week-over-week performance:
```bash
python ~/.claude/skills/health-data/scripts/health_query.py weekly --weeks 4
```

Returns: average daily steps, resting HR, exercise minutes, workout count per week.

### Sleep Analysis

Analyze sleep patterns:
```bash
python ~/.claude/skills/health-data/scripts/health_query.py sleep --days 14
```

Returns: nightly duration, sleep stages (Core, Deep, REM), average sleep hours.

### Latest Vitals

Get most recent vital readings:
```bash
python ~/.claude/skills/health-data/scripts/health_query.py vitals
```

Returns: Heart Rate, HRV, Resting HR, Blood Oxygen, Respiratory Rate with timestamps.

### Activity Rings

Track ring completion:
```bash
python ~/.claude/skills/health-data/scripts/health_query.py activity --days 30
```

Returns: daily ring values/goals, completion percentages, perfect day count.

### Workout History

Review exercise sessions:
```bash
python ~/.claude/skills/health-data/scripts/health_query.py workouts --days 30 --type Running
```
````
END THIRD-PARTY FILE c181f44b5a44386c

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---
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