# RuView Room Calibration

Runs the per-room calibration pipeline that trains small RuView sensing specialists.

- Repository: https://github.com/ruvnet/RuView (101983 stars)
- Category: Data and ML
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add ruvnet/RuView --skill calibrate-room -g -a claude-code -y`
Codex: `npx skills add ruvnet/RuView --skill calibrate-room -g -a codex -y`
Cursor: `npx skills add ruvnet/RuView --skill calibrate-room -g -a cursor -y`
Gemini CLI: `npx skills add ruvnet/RuView --skill calibrate-room -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add ruvnet/RuView`

## Description

Run the ADR-151 per-room calibration pipeline, baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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

1. **baseline**, capture the empty room (Welford amplitude + von Mises phase). Leave
   the room empty.
   `ruview_calibrate {step: "baseline"}`
2. **enroll**, record the occupant(s) doing the target activities.
   `ruview_calibrate {step: "enroll"}`
3. **train-room**, train the bank of small specialists from baseline + enrollment.
   `ruview_calibrate {step: "train-room"}`
4. **room-watch**, live presence/posture/breathing from the trained room.
   `ruview_calibrate {step: "room-watch"}`  (or the `room-watch` skill)

## 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.