- name
- skill-health
- description
- Analyze wearable health CSV exports (steps, heart rate, sleep, calories, SpO2, exercise, distance) and produce compact JSON reports for hourly, daily, weekly, monthly, sleep (last 30h) and cross-temporal alerts. Use when running or packaging Skill Health analyses and when explaining output semantics, data quality, or known caveats.
Skill Health
Use
Run analysis scripts from scripts/ with a --data-path (ZIP or folder) or --data-dir (directory holding health_data_*). Each script prints JSON to stdout and can also write a file with --output-dir.
Pass --timezone (IANA, e.g. Europe/Madrid, America/New_York) to interpret naive CSV timestamps correctly before UTC serialization.
Minimal examples:
python scripts/run_sleep.py --data-path data/health_data_latest.zip --output-dir outputs
python scripts/run_daily.py --data-path data/health_data_latest.zip --output-dir outputs
python scripts/run_cross_alerts.py --outputs-dir outputs --output-dir outputsNotes
- Sleep metrics use suffix
last_{window_hours}h(defaultlast_30h). - Outputs are compact JSON (
time_windowusess/e/r,data_qualityusescov/rel). - Dependencies: Python 3.10+ and
pandas.
References
references/overview.md(data schemas, outputs, key decisions)references/operations.md(execution windows, quality rules)