RuView Room Calibration
Runs the per-room calibration pipeline that trains small RuView sensing specialists.
Install
npx skills add ruvnet/RuView --skill calibrate-room -g -a claude-code -y- Repository
- ruvnet/RuView102k
- Category
- Data and ML
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 265 tokens
- Runs scripts
- No, instructions only
What it does
Run the ADR-151 per-room calibration pipeline, baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).
calibrate-room
Turn a provisioned node + sensing-server into a working room model. Pure-Rust,
edge-deployable (ADR-151). Use the ruview_calibrate tool (installed
wifi-densepose binary, else cargo run -p wifi-densepose-cli).
Sequence
- baseline, capture the empty room (Welford amplitude + von Mises phase). Leave
the room empty.
ruview_calibrate {step: "baseline"} - enroll, record the occupant(s) doing the target activities.
ruview_calibrate {step: "enroll"} - train-room, train the bank of small specialists from baseline + enrollment.
ruview_calibrate {step: "train-room"} - room-watch, live presence/posture/breathing from the trained room.
ruview_calibrate {step: "room-watch"}(or theroom-watchskill)
Honesty
The specialists are calibrated to this room; cross-room transfer is a separate
problem (LoRA recalibration, ADR-079 P9). Report which room a number came from, and
tag presence/vitals accuracy MEASURED only with a held-out check, run
ruview_claim_check on the writeup.
