Batch Processing Jobs

🌐Community
by aj-geddes · vlatest · Repository

This skill automates running multiple jobs in sequence, saving time and effort by streamlining repetitive workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add batch-processing-jobs npx -- -y @trustedskills/batch-processing-jobs
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "batch-processing-jobs": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/batch-processing-jobs"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

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.

Tags

🛡️

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Details

Version
vlatest
License
Author
aj-geddes
Installs
116

🌐 Community

Passed automated security scans.