By tonone-ai
Design, audit, and optimize message queuing and streaming architectures for Kafka, SQS, and RabbitMQ, including consumer group strategy, dead letter queues, backpressure handling, and scaling.
Design a message queuing or streaming architecture for a workload.
Audit existing queue and streaming infrastructure — find missing DLQs, scaling gaps, and reliability issues.
Design a backpressure and scaling strategy for a queue consumer system.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub tonone-ai/tonone --plugin queueMessage queues and distributed systems expertise. Master queue theory, RabbitMQ, SQS, Kafka, async processing, backpressure, and distributed system patterns.
This skill should be used when the user asks to "set up Cloudflare Queues", "create a message queue", "implement queue consumer", "process background jobs", "configure queue retry logic", "publish messages to queue", "implement dead letter queue", or encountering "queue timeout", "message retry", "throughput exceeded", "queue backlog" errors.
Implement event-driven APIs with message queues and event streaming
Enterprise microservices architecture design and implementation expert for scalable distributed systems
Infrastructure Specialist Team — Kube: Kubernetes cluster design — RBAC, networking, operators, workload configuration
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
Design and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".