Build or improve treadmill station calibration workflows, calibration UI, calibration persistence, baseline collection, and station health logic. Use this when working on calibration screens, station setup, environment baselines, or signal-quality workflows.
Use this skill when the task involves:
Treat calibration as a first-class product workflow.
The system is being deployed around treadmills in real gyms, so station behavior can drift due to:
Calibration must make these conditions explicit.
Support these baseline phases whenever possible:
Calibration results should influence:
Do not hide failed or degraded calibration states.
When implementing calibration:
Calibration screens should show:
Avoid vague “green means good” experiences with no explanation.
Calibration does not prove biomechanical validity. Calibration only establishes station quality and repeatability for the sensing setup.
Do not imply:
When using this skill, update as needed: