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ruvnet--RuView/plugins/ruview/commands/ruview-app.md
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ruv 8ff7c2c35a feat(plugins): RuView Claude Code + Codex marketplace plugin
Add `plugins/ruview` — an end-to-end toolkit for working with RuView
(WiFi-DensePose) from Claude Code, mirrored as Codex prompts.

Marketplace: `plugins/.claude-plugin/marketplace.json` (one plugin, `ruview`).

Skills (9): ruview-quickstart, ruview-hardware-setup, ruview-configure,
ruview-applications, ruview-model-training, ruview-advanced-sensing,
ruview-cli-api, ruview-mmwave, ruview-verify — shell-first (cargo / python /
idf.py / docker / node), no claude-flow MCP dependency.

Commands (7): /ruview-start, /ruview-flash, /ruview-provision, /ruview-app,
/ruview-train, /ruview-advanced, /ruview-verify.

Agents (3): ruview-onboarding-guide, ruview-config-engineer,
ruview-training-engineer.

Codex mirror: codex/AGENTS.md + codex/README.md + codex/prompts/*.md (full
command parity, enforced by scripts/smoke.sh).

Docs: docs/adrs/0001-ruview-plugin-contract.md (Proposed). Verification:
scripts/smoke.sh (13 structural checks). Provisioning docs reflect the full
`provision.py` flag set (TDM mesh, edge tiers, vitals, hop channels, Cognitum
Seed, swarm intervals) and the issue #391 NVS-namespace-replace gotcha.

Verified: `claude plugin validate` (plugin + marketplace), loads via
`claude --plugin-dir`, smoke 13/13, and confirmed against an attached ESP32-S3
on COM8 running the RuView CSI firmware (live adaptive_ctrl + csi_collector
serial output).

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-11 17:39:16 -04:00

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Markdown

---
description: Run a RuView sensing application — presence, vitals, pose, sleep, environment mapping, MAT, point cloud, or a novel RF app.
argument-hint: "[presence|vitals|pose|sleep|environment|mat|pointcloud|<name>]"
---
# /ruview-app
Launch a RuView application.
1. Invoke the **`ruview-applications`** skill.
2. Map `$ARGUMENTS` to an application; if empty, show the catalogue and ask. Quick mappings:
- `presence` / `vitals` / `pose` / `environment``cd v2 && cargo run -p wifi-densepose-sensing-server` (live ESP32 sink) or the Docker demo for simulated CSI; for environment also `--build-index env`.
- `sleep``examples/sleep/` + `node scripts/apnea-detector.js`.
- `mat` (Mass Casualty Assessment) → `wifi-densepose-mat` crate, `docs/wifi-mat-user-guide.md`.
- `pointcloud``python scripts/mmwave_fusion_bridge.py` (camera depth + CSI + mmWave).
- novel RF → `scripts/passive-radar.js`, `material-classifier.js`, `device-fingerprint.js`, `mincut-person-counter.js`.
3. If no hardware: fall back to `docker run -p 3000:3000 ruvnet/wifi-densepose:latest` or `python examples/ruview_live.py`.
4. Help pick the right modality (through-wall → presence/activity; stationary subject → vitals/sleep; need skeletons → pose, train it for accuracy; search & rescue → MAT; best accuracy → 2+ nodes + cross-viewpoint fusion via `/ruview-advanced`).