agentleFS
cookieMonsterDevcookieMonsterDev/agents-skills/skills/docs/bullmq-docs/SKILL.md

bullmq-docs

Skill7 starsChanged 15 days agoMITView on GitHub

Official BullMQ documentation, answered with links to the exact pages. Use for any BullMQ question, including queues, workers and jobs, job schedulers, flows, retries and stalled jobs, NestJS integration, or Redis compatibility.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Check the Redis Cluster limitations in the compatibility guides before running BullMQ on a cluster.

    line 34

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

BullMQ Docs

BullMQ answers drift toward legacy Bull (v3) patterns that do not apply, so ground each answer in the live docs at https://docs.bullmq.io/, not memory, and link the exact page behind every claim.

Route raw Redis server configuration to redis-docs, and RabbitMQ or Kafka messaging to rabbitmq-docs or kafka-docs. Legacy Bull (v3) belongs to the Bull docs linked from BullMQ, and Python, Rust, Elixir or PHP queue libraries to their own docs unless the question is about a BullMQ port documented on docs.bullmq.io.

Workflow

  1. Locate the question in references/topic-map.md, a selective index of docs entry points. Done when each part of the question maps to a section of the map, or you have noted that none fits.
  2. Search docs.bullmq.io with the user's exact terms plus BullMQ vocabulary such as Queue, Worker, FlowProducer, repeat, limiter, or stalled, starting from the map's pages and the Routing rules below. Done when you hold the one page that most directly answers each part.
  3. Read each page down to the relevant section. Done when you have read the passage behind every claim you will make. When a page has moved, been renamed, or stops short, say so and link the nearest authoritative pages.
  4. Answer with the direct answer first, each docs link beside the claim it supports, and Node.js code only when the user asks or the page needs it. Mark any conclusion that joins several pages as Inference:. Done when every claim cites a specific page, not the docs home.

Routing

  • Beginner questions: Quick Start and Guide > Introduction, before the API Reference.
  • API details: the Guide and the API Reference.
  • Job lifecycle: keep the Queue, Worker and Job docs apart.
  • Scheduling: Job Schedulers and the repeatable-jobs docs, before any hand-rolled cron wrapper.
  • Reliability: the retrying-failing-jobs and stalled-job-recovery docs.
  • Redis issues: Redis Compatibility and Troubleshooting, before changing queue code.
  • NestJS: the NestJS guide, before generic Worker examples.

Gotchas

  • BullMQ delivers jobs at least once, not exactly once; pair processors with the idempotency and deduplication patterns.
  • Set up workers per the documented Redis connection and prefix requirements before running them.
  • BullMQ is event-driven: react to jobs through workers and events; polling loops work against its design.
  • Check the Redis Cluster limitations in the compatibility guides before running BullMQ on a cluster.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.