Create and manage Redis-backed BullMQ queues for multi-agent job coordination.
npx skills add https://github.com/joelhooks/swarm-tools --skill queue
Please help me install this Agent Skill. Skill: queue Source: https://github.com/joelhooks/swarm-tools/tree/main/packages/opencode-swarm-plugin/global-skills/queue Command: npx skills add https://github.com/joelhooks/swarm-tools --skill queue
This Skill provides a robust, scalable queue to coordinate work across multiple agents, eliminating blocking calls and bottlenecks in distributed tasks.
Create a queue connected to Redis, submit a sample job, and start a worker to process it. Use polling or events to monitor job completion and adjust concurrency as needed.
High-intent search queries and answers about installing and using this skill.
Multi-agent task coordination requires a robust queue to distribute work and eliminate bottlenecks. You can submit long-running jobs to a Redis-backed queue, allowing distributed workers to process tasks asynchronously with progress tracking and fault-tolerant retries.
Managing parallel processing relies on a queue API with submission, status, and worker management capabilities. By configuring priority and retry strategies, you enable reliable task orchestration across distributed components, ensuring fault-tolerant processing for complex asynchronous workflows.
Yes, Redis and BullMQ can be used for multi-agent task orchestration by backing the queue API. This setup provides submission, status, metrics, and worker management, enabling reliable task coordination, result chaining, and fault-tolerant processing across distributed components.
You monitor job completion for distributed workers by using polling or events within the queue API. After submitting jobs, you can track status and metrics, adjusting concurrency as needed to optimize asynchronous coordination across agents.
Yes, the queue supports priority and retry strategies for long-running tasks. This allows you to execute fault-tolerant processing with progress tracking, ensuring reliable task orchestration and asynchronous coordination across multiple distributed agents.
You need a queue for asynchronous coordination when executing long-running tasks or parallel processing across multiple agents. It eliminates blocking calls and bottlenecks in distributed tasks by providing a scalable, Redis-backed API for submission and fault-tolerant worker management.
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