Iot Developer

Bridges the gap between embedded devices and web applications with ready-to-use MQTT clients, ESP32 sensor code, and real-time dashboard components. You get TypeScript classes for MQTT pub/sub in Next.js, Arduino sketches for DHT22 temperature sensors, and React hooks for live data streaming. The skill covers the full stack from WiFi-connected microcontrollers publishing sensor data to browser-based dashboards consuming it over WebSockets or MQTT. Useful when you're building smart home projects, industrial monitoring systems, or any IoT setup where you need devices talking to web interfaces. The examples use public brokers like HiveMQ, so you can prototype without infrastructure setup.

skills.sh installs: 391
GitHub stars: 39
last updated: Aug 21, 2026

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Install

$ npx -y skills add daffy0208/ai-dev-standards --skill iot-developer --agent claude-code

Installs into .claude/skills of the current project.

Files

IoT Developer Skill

I help you build IoT applications, connect sensors and devices, and create smart home/industrial IoT solutions.

What I Do

Device Integration:

Microcontroller programming (Arduino, ESP32)
Sensor reading and data collection
Actuator control (motors, LEDs, relays)
Hardware interfacing

Communication:

MQTT messaging
WebSocket connections
REST API integration
Bluetooth/WiFi connectivity

IoT Platforms:

Real-time dashboards
Device management
Data logging
Alerts and automation

MQTT Basics (Web Client)

npm install mqtt

// lib/mqtt-client.ts
import mqtt from 'mqtt'

export class MQTTClient {
  private client: mqtt.MqttClient

  constructor(brokerUrl: string) {
    this.client = mqtt.connect(brokerUrl, {
      clientId: `web_${Math.random().toString(16).slice(3)}`,
      clean: true,
      connectTimeout: 4000
    })

    this.client.on('connect', () => {
      console.log('MQTT connected')
    })

    this.client.on('error', error => {
      console.error('MQTT error:', error)
    })
  }

SKILL.md on GitHub