From ruview
Onboards the user onto RuView (WiFi-DensePose) by offering three setup paths: Docker demo, source build, or ESP32 hardware. Guides through gotchas and next steps.
npx claudepluginhub ruvnet/ruview --plugin ruview[docker|build|hardware]# /ruview-start Onboard the user onto RuView (WiFi-DensePose). 1. Invoke the **`ruview-quickstart`** skill. 2. If `$ARGUMENTS` names a tier (`docker`, `build`, `hardware`), go straight to it; otherwise ask which hardware they have: - **No hardware** → Tier 0: `docker run -p 3000:3000 ruvnet/wifi-densepose:latest`, open `http://localhost:3000`. - **Want to build from source** → Tier 1: `cd v2 && cargo test --workspace --no-default-features`, then `python archive/v1/data/proof/verify.py`. - **Have an ESP32-S3 / C6** → Tier 2: hand off to `/ruview-flash` then `/ruview-provision`, th...
/setupRuns interactive setup wizard: detects AI providers (codex, ollama, gemini), installs missing tools, configures auth/RTK token optimization, displays status dashboard.
/do-setupInteractively sets up Cloudflare Durable Objects in new or existing projects with wrangler config, bindings, migrations, TypeScript, boilerplate, and optional Vitest tests.
/iot-firmware-advisorProvides expert guidance on IoT firmware including embedded systems programming, OTA update mechanisms, resource-constrained development, and hardware-software interfaces.
/ha-deployDeploys Home Assistant on Ubuntu servers using Docker with complementary services like MariaDB, MQTT, Zigbee2MQTT, Node-RED, Grafana, and Ollama. Also supports update, backup, restore, status, and logs.
/erne-initInitializes ERNE AI agent harness for React Native and Expo projects: gathers profile and MCP preferences, runs CLI init, launches dashboard.
Share bugs, ideas, or general feedback.
Onboard the user onto RuView (WiFi-DensePose).
ruview-quickstart skill.$ARGUMENTS names a tier (docker, build, hardware), go straight to it; otherwise ask which hardware they have:
docker run -p 3000:3000 ruvnet/wifi-densepose:latest, open http://localhost:3000.cd v2 && cargo test --workspace --no-default-features, then python archive/v1/data/proof/verify.py./ruview-flash then /ruview-provision, then cargo run -p wifi-densepose-sensing-server./ruview-app, /ruview-train, /ruview-advanced, /ruview-verify, and the ruview-configure skill.