agentdb-advanced
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Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.
$ npx -y skills add ruvnet/RuView --skill onboard --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/onboardContext preview
The summary Claude sees to decide when to auto-load this skill.
Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.
name: onboard description: Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.
Get a newcomer from nothing to a working RuView setup. **First fact to set:** WiFi sensing infers *coarse* pose/presence/breathing from Channel State Information — it is **not a camera**, and any accuracy number must be MEASURED against a baseline (use the `verify` skill / `ruview_claim_check` tool). Never present WiFi output as camera-grade.
Run `ruview_onboard {path}` or decide from:
1. **docker-demo** — fastest, no hardware. Replays sample CSI into the dashboard. `docker run -p 8000:8000 ruvnet/wifi-densepose` → open `http://localhost:8000`. Use to see what it looks like. 2. **repo-build** — for developers. `cd v2 && cargo test --workspace --no-default-features` (1,031+ tests pass), then `cargo run -p wifi-densepose-cli -- --help`. 3. **live-esp32** — a real install. Flash a node (`provision-node` skill), point it at the sensing-server, then `calibrate-room`. This is the only path that senses a real room.
report before you quote a number.
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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