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Bullmq Specialist

Listed
sickn33·vlatest·other·MIT

The Bullmq Specialist analyzes code for potential vulnerabilities and suggests improvements, boosting software security and reliability.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill bullmq-specialist -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
0 files
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The bullmq-specialist skill enables AI agents to interact with and manage BullMQ, a powerful Redis-based message queue system. It allows for the creation, monitoring, and management of queues, workers, and jobs, making it ideal for handling asynchronous tasks in applications.

When to use it

  • When you need to process background tasks such as sending emails or generating reports without blocking the main application flow.
  • To manage distributed task processing across multiple servers using Redis as a backend.
  • For building scalable systems that require reliable job scheduling and execution.

Key capabilities

  • Create and configure BullMQ queues for task management.
  • Monitor job status, including progress and failures.
  • Add, process, and remove jobs from the queue.
  • Handle retries and delays for failed tasks.

Example prompts

  • "Set up a new BullMQ queue to handle user registration emails."
  • "Check the status of all pending jobs in the 'report-generation' queue."
  • "Add a job to the 'image-processing' queue with a delay of 10 seconds."

Tips & gotchas

Ensure Redis is properly configured and accessible, as BullMQ relies on it for storing queue data. Also, be mindful of rate limits and resource usage when handling high volumes of jobs.