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Monitoring
Skill

/onboard

Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.

BOOST
From plugin
ruview
96k52 skills94 agents92 commands1 MCP
Install
$ npx -y skills add ruvnet/RuView --skill onboard --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/onboard

Context 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.

SKILL.md

onboard.SKILL.md
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.

onboard

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.

Pick a path

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.

Then

  • Live sensing → go to **provision-node**, then **calibrate-room**.
  • Evaluating a model/claim → go to **verify** and run `ruview_claim_check` on any

report before you quote a number.

Ships withruview

π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.

Get the whole plugin

Other skills on ruview.