Manage background jobs and message streams with retries, DLQs, and rate limiting.
npx skills add https://github.com/arbazkhan971/godmode --skill queue-arbazkhan971
Please help me install this Agent Skill. Skill: queue Source: https://github.com/arbazkhan971/godmode/tree/main/skills/queue Command: npx skills add https://github.com/arbazkhan971/godmode --skill queue-arbazkhan971
Provides a production-ready blueprint for designing, operating, and recovering message queues and background job systems so applications can reliably run asynchronous work without losing tasks, overloading downstream services, or producing duplicate side effects.
Use the queue skill to design and deploy a worker pool with retries, DLQ, idempotency keys, and monitoring tuned to your application's throughput and latency targets.
High-intent search queries and answers about installing and using this skill.
Implement exponential backoff with jitter for background job retries by applying randomized delay intervals to distributed workers. This queue processing pattern prevents thundering herd effects and avoids overwhelming downstream services during temporary outages.
Handle dead letter queues and stuck jobs in BullMQ by configuring DLQ retention and replay policies for failed message streams. The queue skill prescribes error recovery procedures to classify failures, replay stuck jobs, and manage memory exhaustion safely.
Ensure idempotency and exactly-once delivery in Kafka consumers by assigning unique idempotency keys to message streams. The queue skill defines delivery guarantees and retry classification logic to prevent duplicate side effects during asynchronous application workloads.
Choose between RabbitMQ, SQS, and Postgres SKIP LOCKED by evaluating your background processing throughput and operational needs. The queue skill compares these message broker technologies to recommend the optimal architecture for your specific latency targets.
Yes, you can use Redis Streams for priority routing and rate limiting in worker pools. The queue skill provides operational patterns for backpressure management, graceful shutdown, and scheduled jobs to handle high-throughput event streaming reliably.
Your background job system loses tasks during graceful shutdown if it lacks proper worker pool draining procedures. The queue skill prescribes architecture patterns for safe shutdown, ensuring in-flight message streams and asynchronous workloads complete without data loss.
vuralserhat86Implements asynchronous communication patterns using Kafka, RabbitMQ, NATS, Redis Streams, Celery, BullMQ, Temporal, and more.
webrix-aiSet up performance monitoring with dashboards, alerts, and SLO tracking.
vecearConfigure BullMQ and Celery background jobs with retries and idempotency.
williamzujkowskiBuild event-driven applications with cloud-native serverless functions.
