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Background Jobs Designer

Checked
patricio0312rev·vlatest·backend·MIT

This tool lets you design and schedule automated "background jobs" for efficient task execution and streamlined workflows.

Repository

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 patricio0312rev/skills --skill background-jobs-designer -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

patricio0312rev

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 patricio0312rev/skills at 79ea6af485.

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

Commit
79ea6af485
Manifest
backend/background-jobs-designer/SKILL.md
Scanned
1 file, 155 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

This skill enables AI agents to design and schedule automated background jobs, facilitating efficient task execution and streamlined workflows. It supports integrating with popular job queues like BullMQ (Node.js) and Celery (Python), allowing for features such as retries with exponential backoff strategies and monitoring of job status (completed, failed, stalled). The skill also provides tools to ensure jobs are idempotent, preventing duplicate processing.

When to use it

  • Automating email sending tasks, ensuring reliable delivery even with temporary failures.
  • Processing payments asynchronously to avoid blocking user interactions.
  • Generating reports in the background without impacting real-time application performance.
  • Synchronizing data between systems efficiently and reliably.
  • Implementing idempotent jobs that can be safely re-run without unintended consequences.

Key capabilities

  • Queue Integration: Supports BullMQ (Node.js) and Celery (Python).
  • Retry Strategy: Implements exponential backoff for job retries.
  • Job Definitions: Provides a structured approach to defining job types, payloads, and retry configurations.
  • Idempotent Jobs: Includes mechanisms to track processed jobs and prevent duplicate execution.
  • Monitoring: Offers event tracking for completed, failed, and stalled jobs.

Example prompts

  • "Design a background job to send a welcome email with exponential backoff retries."
  • "Create a Celery task for processing payments with a maximum of 3 attempts."
  • "Implement an idempotent job to generate a report, ensuring it's not run multiple times."

Tips & gotchas

  • Ensure the AI agent has access to the necessary libraries (BullMQ or Celery) and database connections.
  • Be mindful of timeouts when designing background jobs to prevent indefinite delays.
  • Consider implementing a dead letter queue for handling persistently failing jobs.