Iot Expert

This one covers the full IoT stack from embedded firmware to edge computing. You get MQTT client implementations in both Python and C for ESP32/Arduino, which is handy since you'll likely need both when building actual IoT systems. The code includes practical patterns like reconnection logic, QoS handling, and edge-based anomaly detection to reduce cloud traffic. What I like here is the edge processing class that buffers and aggregates sensor data locally before sending summaries upstream, which is exactly how you'd handle hundreds of chatty devices in production. It assumes you know your way around microcontrollers and networking protocols, so this isn't an intro guide.

skills.sh installs: 236
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill iot-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

IoT Expert

Expert guidance for IoT systems, embedded devices, edge computing, sensor networks, and IoT protocols.

Core Concepts

IoT Architecture

Device layer (sensors, actuators)
Edge computing layer
Network layer (connectivity)
Cloud/platform layer
Application layer
Security across all layers

IoT Protocols

MQTT (Message Queuing Telemetry Transport)
CoAP (Constrained Application Protocol)
HTTP/REST for IoT
WebSocket for real-time
LoRaWAN for long-range
Zigbee, Z-Wave for home automation

Embedded Systems

Microcontroller programming
Real-time operating systems (RTOS)
Power management
Firmware updates (OTA)
Hardware interfaces (I2C, SPI, UART)
Memory constraints

MQTT Implementation

import paho.mqtt.client as mqtt
import json
from datetime import datetime
from typing import Callable, Dict

class MQTTClient:
    def __init__(self, broker: str, port: int = 1883, client_id: str = "iot_device"):
        self.broker = broker
        self.port = port
        self.client = mqtt.Client(client_id)
        self.subscriptions: Dict[str, Callable] = {}

SKILL.md on GitHub