ruview

Plugin ruview from marketplace ruview in ruvnet/RuView. Commands read from the repo's manifest — today.

Skills (10)

• ruview-advanced-sensing

  Advanced RuView capabilities — RuvSense multistatic sensing (attention-weighted fusion, geometric diversity, persistent field model), cross-viewpoint fusion across multiple nodes, RF tomography (ISTA L1 solver, voxel grids), longitudinal biomechanics drift, pre-movement intention signals, adversaria

• ruview-applications

  Run RuView sensing applications — presence/occupancy, breathing & heart rate, activity & fall detection, 17-keypoint pose estimation (WiFlow), sleep monitoring & apnea screening, environment mapping, Mass Casualty Assessment (MAT), and the 3D point-cloud fusion demo. Use when someone wants to actual

• ruview-cli-api

  Use the RuView `wifi-densepose` CLI binary (incl. MAT scan/status/zones/survivors/alerts/export subcommands), the REST API (`wifi-densepose-api`, Axum), and the browser/WASM build (`wifi-densepose-wasm`, `wifi-densepose-wasm-edge`). Use when integrating RuView into another program, scripting it from

• ruview-configure

  Configure RuView — ESP32 sdkconfig variants, NVS provisioning, WiFi channel / MAC filter overrides (ADR-060), edge intelligence modules (ADR-041), sensing-server flags, multi-node mesh, and Cognitum Seed integration. Use when adjusting how a deployed RuView system behaves without changing code.

• ruview-hardware-setup

  ESP32-S3 / ESP32-C6 firmware build, flash, WiFi provisioning, and serial monitoring for RuView CSI sensing nodes. Use when setting up physical hardware, reflashing a node, or debugging a device that isn't streaming CSI.

• ruview-mmwave

  Set up and run RuView mmWave / FMCW radar sensing — ESP32-C6 + Seeed MR60BHA2 (60 GHz, heart rate / breathing rate / presence) and HLK-LD2410 (24 GHz, presence + distance), plus mmWave↔WiFi-CSI sensor fusion (48-byte fused vitals, MR60BHA2/LD2410 auto-detect, v0.5.0+). Use when the deployment includ

• ruview-model-training

  Train RuView models — camera-free WiFlow pose (10 sensor signals, no labels), camera-supervised pose (MediaPipe + ESP32 CSI → 92.9% PCK@20, ADR-079), RuVector contrastive embeddings (AETHER, ADR-024), domain generalization (MERIDIAN, ADR-027), local SNN environment adaptation, plus GPU training on G

• ruview-quickstart

  Onboarding and first-run for RuView (WiFi-DensePose) — Docker demo with simulated data, repo build, and the fastest path to a live sensing dashboard. Use when someone is new to RuView or wants the shortest path to "it works on my machine".

• ruview-rvagent

  Explore and prototype rvAgent + RVF integration for RuView agentic flows. Use when working on cross-cog coordination, operator-facing agents reading BFLD / pose / vitals events live, or persisting agent state alongside sensing data in the same RVF container.

• ruview-verify

  Verify a RuView build — full Rust workspace tests, the deterministic Python pipeline proof (SHA-256 Trust Kill Switch), firmware hash manifest, and the ADR-028 witness bundle with one-command self-verification. Use after any significant change, before merging a PR, or to produce an attestation bundl

Slash commands (7)

• /ruview:ruview-advanced

  Use advanced RuView capabilities — multistatic sensing, cross-viewpoint fusion, RF tomography, persistent field model, intention signals, adversarial detection, mesh security.

• /ruview:ruview-app

  Run a RuView sensing application — presence, vitals, pose, sleep, environment mapping, MAT, point cloud, or a novel RF app.

• /ruview:ruview-flash

  Build and flash RuView ESP32 firmware (8MB or 4MB), then confirm the CSI stream.

• /ruview:ruview-provision

  Provision WiFi credentials, sink IP, and optional channel / MAC-filter overrides onto a RuView ESP32 node.

• /ruview:ruview-start

  Get started with RuView — pick the fastest path (Docker demo, repo build, or live ESP32) and walk through it.

• /ruview:ruview-train

  Train a RuView model — camera-free WiFlow pose, camera-supervised pose (92.9% PCK@20), RuVector embeddings, domain generalization, local SNN, with optional GPU on GCloud.

• /ruview:ruview-verify

  Verify a RuView build — Rust tests, deterministic Python proof, firmware hashes, ADR-028 witness bundle + self-verification, and the pre-merge checklist.

Subagents (3)

• ruview-config-engineer

  Configures RuView deployments — ESP32 firmware variants (8MB/4MB/Heltec), sdkconfig, NVS provisioning, WiFi channel / MAC-filter overrides (ADR-060), edge intelligence modules (ADR-041), sensing-server flags, multi-node mesh, and Cognitum Seed integration. Use to set up or tune a RuView system witho

• ruview-onboarding-guide

  Walks a newcomer through RuView (WiFi-DensePose) from zero to a working sensing setup — picks the right path (Docker demo / repo build / live ESP32), explains the physics and the hardware caveats, and points to the next steps. Use when someone is new to the project or asks "how do I get started".

• ruview-training-engineer

  Trains, evaluates, and ships RuView models — camera-free WiFlow pose, camera-supervised pose (MediaPipe + ESP32 CSI → 92.9% PCK@20, ADR-079), RuVector contrastive embeddings (AETHER, ADR-024), domain generalization (MERIDIAN, ADR-027), local SNN environment adaptation, GPU training on GCloud, and Hu

MCP servers (1)

• rvagent

  runs: npx -y @ruvnet/rvagent

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