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Laravel:Data Chunking Large Datasets

Checked
jpcaparas·vlatest·backend·MIT

Efficiently processes large Laravel datasets into manageable chunks for improved performance and reduced memory usage.

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 jpcaparas/superpowers-laravel --skill laravel:data-chunking-large-datasets -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

jpcaparas

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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.

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  • No pipe-to-shell installers: passed

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

  • Pinned to a commit: passed

    Scanned jpcaparas/superpowers-laravel at c5198b16cd.

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Commit
c5198b16cd
Manifest
skills/data-chunking-large-datasets/SKILL.md
Scanned
1 file, 358 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 Laravel applications to process large datasets by breaking them into smaller, manageable chunks. It facilitates efficient data manipulation and avoids memory exhaustion when dealing with files or database queries that exceed available resources. The skill provides a convenient way to iterate over these chunks for tasks like importing, exporting, or transformation.

When to use it

  • Importing a large CSV file into a database in batches.
  • Generating a very long report by processing data in smaller segments.
  • Exporting a massive dataset to another system without overwhelming the server's memory.
  • Performing complex calculations on a large array of numbers, breaking them down for iterative processing.

Key capabilities

  • Chunking of database query results.
  • Chunking of file contents.
  • Iterative processing of data chunks.
  • Avoidance of memory exhaustion when handling large datasets.

Example prompts

  • "Chunk the results of this Eloquent query into batches of 100."
  • "Read and process this CSV file in chunks of 5MB."
  • “Export this dataset to JSON, processing it in smaller segments.”

Tips & gotchas

This skill requires a working Laravel installation. Be mindful of the chunk size; excessively small chunks can impact performance while large chunks may still cause memory issues.