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Apache Spark Data Processing

Listed
manutej·vlatest·data

Processes large datasets efficiently using Apache Spark for data transformation, analysis, and machine learning tasks.

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 manutej/luxor-claude-marketplace --skill apache-spark-data-processing -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

manutej

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: archive.apache.org.

    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.

    Hosts contacted

    archive.apache.orgundeclared

    What it found

    • plugins/luxor-data-engineering/skills/apache-spark-data-processing/README.md:185contacts archive.apache.org
      wget https://archive.apache.org/dist/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz

  • 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 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 manutej/luxor-claude-marketplace at 1861cc9720.

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

Commit
1861cc9720
Manifest
plugins/luxor-data-engineering/skills/apache-spark-data-processing/SKILL.md
Scanned
3 files, 3,960 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.
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About this skill

What it does

This skill enables AI agents to perform data processing tasks using Apache Spark, a distributed computing framework for large-scale data analytics. It allows agents to execute transformations, aggregations, and computations on structured datasets across distributed systems.

When to use it

  • Processing large datasets that exceed single-machine memory capacity
  • Performing ETL (Extract, Transform, Load) operations on distributed clusters
  • Running parallelized computations across multiple nodes for efficiency
  • Analyzing petabyte-scale data warehouses or data lakes

Key capabilities

  • Distributed data processing and computation
  • Large-scale dataset manipulation and transformation
  • Cluster-based analytics execution
  • Integration with Apache Spark ecosystem components

Example prompts

  • "Process this CSV file using Apache Spark to calculate aggregate statistics"
  • "Transform the distributed dataset by filtering records where revenue exceeds threshold"
  • "Run a Spark SQL query to join multiple tables for customer analysis"

Tips & gotchas

Ensure you have access to a Spark cluster or environment before attempting large-scale data operations. This skill