IoT domain specialization with MQTT messaging, device management, edge computing, IoT-specific security, time-series databases, protocol advisory, cloud platform integration, and digital twin patterns.
npx claudepluginhub rnavarych/alpha-engineer --plugin domain-iotIoT firmware advisor guiding on embedded systems programming, firmware update mechanisms, resource-constrained development, and hardware-software interfaces. Use when working with embedded code, OTA updates, or device-level programming.
IoT solution architect specializing in end-to-end IoT system design including device connectivity, data pipelines, edge processing, cloud integration, and fleet management. Use when designing IoT system architecture or evaluating IoT platform decisions.
IoT firmware advisor guiding on embedded systems programming, firmware update mechanisms, resource-constrained development, and hardware-software interfaces. Use when working with embedded code, OTA updates, or device-level programming.
IoT solution architect specializing in end-to-end IoT system design including device connectivity, data pipelines, edge processing, cloud integration, and fleet management. Use when designing IoT system architecture or evaluating IoT platform decisions.
IoT device lifecycle management including zero-touch provisioning, firmware OTA updates with rollback, device registry, device twin/shadow state patterns, command-and-control mechanisms, and fleet-wide operations.
Digital twin design patterns including state-based and simulation-based modeling, real-time state synchronization, predictive maintenance via simulation, what-if scenario analysis, 3D visualization, and platform guidance for Azure Digital Twins and AWS IoT TwinMaker.
Edge computing patterns for IoT including gateway architecture, local vs cloud processing decisions, edge ML inference, containerized edge workloads with K3s and Azure IoT Edge, edge-cloud data synchronization, and offline-resilient operation.
Cloud IoT platform integration covering AWS IoT Core, Azure IoT Hub, and Google Cloud IoT. Includes device shadow/twin patterns, rules engines, edge runtimes, data pipelines from ingestion to analytics, and multi-cloud considerations.
IoT security practices covering device identity with X.509 and secure elements, secure boot chains, encrypted communication (TLS/DTLS), firmware signing, network segmentation, device attestation, and vulnerability management for resource-constrained devices.
MQTT messaging patterns for IoT systems including topic hierarchy design, QoS level selection, retained messages, last will and testament, broker deployment, and MQTT 5.0 feature adoption.
IoT communication protocol selection and advisory covering MQTT, CoAP, AMQP, HTTP comparison, wireless technologies (Zigbee, Z-Wave, BLE, LoRaWAN, NB-IoT, LTE-M), and protocol bridging patterns for heterogeneous IoT deployments.
Time-series data management for IoT including database selection (InfluxDB, TimescaleDB, Prometheus, QuestDB, ClickHouse), schema design with tags and fields, downsampling and retention policies, data compression, real-time vs batch processing, and Grafana visualization.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Uses power tools
Uses Bash, Write, or Edit tools
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