원클릭으로 Manus에서 모든 스킬 실행

iot-monitor

스타0

포크0

업데이트2026년 3월 10일 00:13

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.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

mk-knight23

mk-knight23/AI-Agent-OpenClaw

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

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.

이 저장소의 다른 Skills

같은 저장소

batch-processor

mk-knight23/AI-Agent-OpenClaw

High-throughput parallel processing of large datasets using Node.js streams and Claude AI. Accepts CSV, JSON, JSONL, or plain text. Processes in configurable chunk sizes with backpressure-aware Node.js Readable/Transform/Writable streams. Tracks progress, retries failures with exponential backoff, estimates cost before run. Adapted from ZeroClaw's Rayon-based batch processor for Node.js streaming architecture.

2026-03-100

security-scanner

mk-knight23/AI-Agent-OpenClaw

Full-stack security audit for OpenClaw's Node.js ecosystem: npm audit for CVEs, Snyk for supply chain, ESLint security plugin for code patterns, OWASP dependency check, and AI review of the 60-repo portfolio for systemic vulnerabilities. Generates SECURITY_REPORT.md. Adapted from ZeroClaw's comprehensive security-scanner, tuned for Node.js/TypeScript and multi-repo portfolios.

2026-03-100

add-gmail

mk-knight23/AI-Agent-OpenClaw

Adds Gmail monitoring to OpenClaw using the googleapis library. Creates OAuth2 credentials, polls INBOX for unread messages matching a trigger pattern, drafts AI replies, and sends after approval. Use when you want OpenClaw to monitor and respond to emails. Requires a Google Cloud project with Gmail API enabled and OAuth2 credentials.

2026-03-060

add-obsidian

mk-knight23/AI-Agent-OpenClaw

Mounts an Obsidian vault as a read-only knowledge source for OpenClaw. Registers a vault_search tool that performs full-text search across all .md files, returning file names and relevant excerpts. Use when you want OpenClaw to answer questions using your personal notes or team knowledge base. Requires the vault to be accessible as a local directory.

2026-03-060

add-slack

mk-knight23/AI-Agent-OpenClaw

Adds Slack integration to OpenClaw using the @slack/bolt framework. Creates a SlackChannel adapter with Socket Mode (no public URL required), handles app_mention events, routes messages through OpenClaw's skill dispatcher, and responds in-thread. Use when you want OpenClaw accessible from Slack workspaces. Requires a Slack app with Socket Mode enabled.

2026-03-060

add-supabase

mk-knight23/AI-Agent-OpenClaw

Adds Supabase as OpenClaw's persistent backend. Creates tables for conversation history, skill invocation logs, and agent memory using the Supabase JS client. Wires memory-read and memory-write into the tool registry so skills can persist state across sessions. Requires a Supabase project URL and anon key.

2026-03-060

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.