mirror of
https://github.com/ruvnet/RuView
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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>
19 lines
1.4 KiB
Markdown
19 lines
1.4 KiB
Markdown
---
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description: Run a RuView sensing application — presence, vitals, pose, sleep, environment mapping, MAT, point cloud, or a novel RF app.
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argument-hint: "[presence|vitals|pose|sleep|environment|mat|pointcloud|<name>]"
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---
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# /ruview-app
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Launch a RuView application.
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1. Invoke the **`ruview-applications`** skill.
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2. Map `$ARGUMENTS` to an application; if empty, show the catalogue and ask. Quick mappings:
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- `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`.
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- `sleep` → `examples/sleep/` + `node scripts/apnea-detector.js`.
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- `mat` (Mass Casualty Assessment) → `wifi-densepose-mat` crate, `docs/wifi-mat-user-guide.md`.
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- `pointcloud` → `python scripts/mmwave_fusion_bridge.py` (camera depth + CSI + mmWave).
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- novel RF → `scripts/passive-radar.js`, `material-classifier.js`, `device-fingerprint.js`, `mincut-person-counter.js`.
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3. If no hardware: fall back to `docker run -p 3000:3000 ruvnet/wifi-densepose:latest` or `python examples/ruview_live.py`.
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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`).
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