agentdb-advanced
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Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).
$ npx -y skills add ruvnet/RuView --skill calibrate-room --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/calibrate-roomContext preview
The summary Claude sees to decide when to auto-load this skill.
Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).
name: calibrate-room description: Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).
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`).
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)
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.
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Repo: ruvnet/RuView
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