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iot-monitor

Dashboard and API layer for monitoring IoT sensors and edge devices from OpenClaw's full-stack environment. Connects to MQTT brokers, HTTP sensor APIs, or PicoClaw agent heartbeats. Renders a live web dashboard, stores readings in Supabase, and sends alerts via any configured channel (Telegram, Slack, WhatsApp). Adapted from PicoClaw's Go iot-monitor for OpenClaw's Node.js full-stack runtime.

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Installationsbefehl

npx skills add https://github.com/mk-knight23/AI-Agent-OpenClaw --skill iot-monitor

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um den Skill zu installieren

Quelle

mk-knight23/AI-Agent-OpenClaw

Sterne0

Forks0

Aktualisiert10. März 2026 um 00:13

SKILL.md

readonly

name	iot-monitor
description	Dashboard and API layer for monitoring IoT sensors and edge devices from OpenClaw's full-stack environment. Connects to MQTT brokers, HTTP sensor APIs, or PicoClaw agent heartbeats. Renders a live web dashboard, stores readings in Supabase, and sends alerts via any configured channel (Telegram, Slack, WhatsApp). Adapted from PicoClaw's Go iot-monitor for OpenClaw's Node.js full-stack runtime.

iot-monitor

IoT monitoring dashboard — connect PicoClaw edge devices to OpenClaw's full-stack visibility layer.

Usage

@OpenClaw iot-monitor --connect mqtt://192.168.1.100:1883
@OpenClaw iot-monitor --connect picoclaw://home-server:8080    # PicoClaw agent API
@OpenClaw iot-monitor --connect http://sensor-api.local/metrics
@OpenClaw iot-monitor --dashboard                              # Launch live web UI

Architecture

OpenClaw acts as the orchestration layer while PicoClaw runs on the hardware:

PicoClaw (Raspberry Pi)  →  MQTT / HTTP  →  OpenClaw Dashboard  →  Supabase + Alerts

Features

Live Dashboard

React-based real-time dashboard (WebSocket updates)
Time-series charts per sensor (last 24h, 7d, 30d)
Alert history and acknowledgment workflow
Device status: online/offline/degraded

Data Ingestion

MQTT subscription: all topics via sensors/# wildcard
PicoClaw heartbeat API integration
HTTP polling (configurable interval)
Schema inference: auto-detects numeric sensors vs. categorical

Alert Rules

{
  "rules": [
    {"sensor": "temperature", "condition": ">75", "channel": "telegram", "severity": "high"},
    {"sensor": "disk_usage", "condition": ">90%", "channel": "slack", "severity": "critical"}
  ]
}

Storage

All readings stored in Supabase iot_readings table
Automatic data retention: 90 days (configurable)
Export: CSV, JSON, InfluxDB line protocol

Files Created

dashboard/                  # Next.js dashboard app
  pages/iot.tsx             # Main monitoring page
  components/SensorChart.tsx
config/iot-monitor.json     # Connection and alert config
MONITOR_SETUP.md            # Integration guide for PicoClaw devices

Philosophy

PicoClaw owns the hardware layer. OpenClaw owns the visibility layer. This skill bridges them: raw sensor data becomes actionable insights in your full-stack dashboard.

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Quelle

mk-knight23

mk-knight23/AI-Agent-OpenClaw

GitHub-Repository öffnen Creator-Repositorys ansehen

Installationsbefehl

Download

In Manus ausführen

Nützlich fürSOC

SoftwareentwicklerInformatik- und Mathematikberufe15-1252L4

name	iot-monitor
description	Dashboard and API layer for monitoring IoT sensors and edge devices from OpenClaw's full-stack environment. Connects to MQTT brokers, HTTP sensor APIs, or PicoClaw agent heartbeats. Renders a live web dashboard, stores readings in Supabase, and sends alerts via any configured channel (Telegram, Slack, WhatsApp). Adapted from PicoClaw's Go iot-monitor for OpenClaw's Node.js full-stack runtime.

iot-monitor

IoT monitoring dashboard — connect PicoClaw edge devices to OpenClaw's full-stack visibility layer.

Usage

@OpenClaw iot-monitor --connect mqtt://192.168.1.100:1883
@OpenClaw iot-monitor --connect picoclaw://home-server:8080    # PicoClaw agent API
@OpenClaw iot-monitor --connect http://sensor-api.local/metrics
@OpenClaw iot-monitor --dashboard                              # Launch live web UI

Architecture

OpenClaw acts as the orchestration layer while PicoClaw runs on the hardware:

PicoClaw (Raspberry Pi)  →  MQTT / HTTP  →  OpenClaw Dashboard  →  Supabase + Alerts

Features

Live Dashboard

React-based real-time dashboard (WebSocket updates)
Time-series charts per sensor (last 24h, 7d, 30d)
Alert history and acknowledgment workflow
Device status: online/offline/degraded

Data Ingestion

MQTT subscription: all topics via sensors/# wildcard
PicoClaw heartbeat API integration
HTTP polling (configurable interval)
Schema inference: auto-detects numeric sensors vs. categorical

Alert Rules

{
  "rules": [
    {"sensor": "temperature", "condition": ">75", "channel": "telegram", "severity": "high"},
    {"sensor": "disk_usage", "condition": ">90%", "channel": "slack", "severity": "critical"}
  ]
}

Storage

All readings stored in Supabase iot_readings table
Automatic data retention: 90 days (configurable)
Export: CSV, JSON, InfluxDB line protocol

Files Created

dashboard/                  # Next.js dashboard app
  pages/iot.tsx             # Main monitoring page
  components/SensorChart.tsx
config/iot-monitor.json     # Connection and alert config
MONITOR_SETUP.md            # Integration guide for PicoClaw devices

Philosophy

PicoClaw owns the hardware layer. OpenClaw owns the visibility layer. This skill bridges them: raw sensor data becomes actionable insights in your full-stack dashboard.