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Batch Processing Jobs

Checked
aj-geddes·vlatest·other·MIT

This skill automates running multiple jobs in sequence, saving time and effort by streamlining repetitive 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 aj-geddes/useful-ai-prompts --skill batch-processing-jobs -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/batch-processing-jobs/SKILL.md
Scanned
6 files, 862 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 execute multiple tasks or process large datasets in a single, efficient operation rather than handling them one at a time. It streamlines workflows by allowing the agent to manage repetitive actions or bulk data transformations automatically.

When to use it

  • You need to analyze hundreds of customer support tickets to identify common themes.
  • You want to generate unique social media captions for an entire month's worth of blog posts simultaneously.
  • You require a system to validate and format thousands of rows in a spreadsheet without manual intervention.
  • You are testing multiple code variations against a dataset to find the most efficient algorithm.

Key capabilities

  • Executes sequential or parallel operations on large volumes of data.
  • Automates repetitive workflows that would otherwise require manual iteration.
  • Processes inputs in batches to significantly reduce total execution time.
  • Maintains context across multiple items within a single job run.

Example prompts

  • "Batch-process these 50 product descriptions to rewrite them with a humorous tone and add relevant emojis."
  • "Run a batch job on this CSV file to extract email addresses, validate their format, and categorize them by domain."
  • "Generate a series of 20 distinct Python scripts that each implement a different sorting algorithm on the provided dataset."

Tips & gotchas

Ensure your input data is properly formatted (e.g., clean CSV or JSON) before initiating a batch job to prevent processing errors. Define clear termination conditions or output formats so the agent knows exactly when the batch is complete and how to deliver the results.