Coordinate distributed background tasks with a Redis-backed BullMQ queue.
npx skills add https://github.com/ImBIOS/swarm-tools --skill queue-imbios
Please help me install this Agent Skill. Skill: queue Source: https://github.com/ImBIOS/swarm-tools/tree/main/packages/opencode-swarm-plugin/global-skills/queue Command: npx skills add https://github.com/ImBIOS/swarm-tools --skill queue-imbios
This Skill coordinates reliable background task execution and cross-agent coordination using a Redis-backed queue to decouple producers and workers and improve resilience.
Submit a job to a named queue and start a worker to process it.
High-intent search queries and answers about installing and using this skill.
You can coordinate long-running tasks across distributed agents by using a Redis-backed queue to decouple producers and workers. This approach ensures reliable background task execution and improves resilience across multi-service architectures.
The best way to implement retry strategies and job prioritization in BullMQ is by configuring asynchronous job submission with built-in backoff strategies. This ensures fault tolerance and resilience for background processing tasks.
To set up worker concurrency, configure scalable worker pools that enable parallel processing of background jobs. This allows you to manage execution across distributed agents efficiently while maintaining control over resource utilization.
Yes, BullMQ supports dead-letter handling for failed job processing. It includes monitoring, metrics, and error handling capabilities that allow you to observe queue health and manage failures effectively.
Yes, you can chain tasks and monitor progress for cross-agent workflow coordination. The system provides coordination primitives that enable multi-agent workflows to update progress and execute sequential tasks reliably.
Limitations of Redis-backed queues for asynchronous processing include dependency on Redis availability and potential bottlenecks in cross-agent coordination. Dead-letter queues help manage failures, but overall throughput depends on Redis performance and worker pool configuration.
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