IoT Architect Skill

Precision engineering for distributed hardware networks. This skill focuses on the structural integrity and scalability of IoT ecosystems.

Core Capabilities

1. Network Topology Design

Plan how your devices talk to the brain.

• Protocols: MQTT (standard), HTTP/REST, WebSockets.
• Security: TLS implementation, Scoped API Tokens, Network Isolation.
• Topology: Star (Standard Hub/Spoke), Mesh (LoRa/Zigbee).

2. Hardware Selection & Pinout

Optimize component choice for efficiency and cost.

• MCUs: ESP32, ESP8266, Arduino, Raspberry Pi.
• Sensors: Power consumption analysis and bus selection (I2C, SPI, UART).
• Pinout Planning: Preventing conflict and ensuring PWM/Analog availability.

3. Firmware & Backend Boilerplate

Generate high-quality, production-ready starting points.

• C++ (Arduino/ESP-IDF): Robust MQTT clients with auto-reconnect.
• Python (FastAPI): High-performance orchestration layers.
• Docker: Deployment-ready containerization.

4. System Visualization

Generate Mermaid.js diagrams for architecture overview.

Automation: Architecture Tool

Run the helper script to generate blueprints.

python3 scripts/architect.py --project "Smart Farm" --nodes "esp32-node-1,esp32-node-2" --sensors "dht22,moisture"

Best Practices

• Idempotency: Ensure devices can recover state after power loss.
• Efficiency: “Just enough engineering to get it done well.” (Azzar’s Rule).
• Security: Never hardcode Wi-Fi or MQTT credentials in firmware.