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Bullmq Specialist

Checked
sebas-aikon-intelligence·vlatest·other·MIT

The Bullmq Specialist analyzes and optimizes BullMQ code for performance improvements, boosting efficiency and reducing execution times.

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 sebas-aikon-intelligence/antigravity-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

sebas-aikon-intelligence

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    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 sebas-aikon-intelligence/antigravity-awesome-skills at 0f4a1b2fd7.

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

Scanned
1 file, 58 lines
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 queues. It allows for tasks like inspecting queue status, adding jobs to the queue, and retrieving job details. This skill is particularly useful for orchestrating asynchronous operations within an agent's workflow.

When to use it

  • Task Scheduling: Schedule complex or time-consuming tasks (like data processing) to run asynchronously without blocking the main AI agent process.
  • Background Processing: Offload resource-intensive operations, such as generating reports or sending large email campaigns, to a background queue for later execution.
  • Monitoring Queue Health: Check the status of a BullMQ queue to ensure jobs are being processed correctly and identify any potential bottlenecks.
  • Debugging Asynchronous Workflows: Inspect job details within the queue to troubleshoot issues in asynchronous task processing pipelines.

Key capabilities

  • Queue Status Inspection
  • Job Addition
  • Job Detail Retrieval

Example prompts

  • "Check the status of the 'email_queue'."
  • "Add a new job to the 'report_generation' queue with parameters: {data: 'report_data.csv', format: 'pdf'}."
  • "Show me details for job ID 123 in the 'image_processing' queue."

Tips & gotchas

The AI agent needs access to a running BullMQ instance and appropriate credentials to interact with it. Ensure the agent has the necessary permissions to read from and write to the specified queues.