Claude Skill

Apache Spark Job Manager

Imported from agentskillexchange/skills/skills/apache-spark-job-manager.

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Part of agentskillexchange/skills — 249 skills

Install

skills CLI npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-spark-job-manager

Claude Code

claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart

Git git clone https://github.com/agentskillexchange/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Apache Spark Job Manager

Prerequisites

Java, Scala, Python

Installation

Requirements and caveats from upstream:

high-level APIs in Scala, Java, Python, and R (Deprecated), and an optimized engine that
Interactive Python Shell
Alternatively, if you prefer Python, you can use the Python shell:

Basic usage or getting-started notes:

To build Spark and its example programs, run:
And run the following command, which should also return 1,000,000,000:
Example Programs
Source: https://github.com/apache/spark
Extracted from upstream docs: https://raw.githubusercontent.com/apache/spark/HEAD/README.md

Documentation

https://spark.apache.org/docs/latest/

Source

Agent Skill Exchange

Files (skills)

SKILL.md 1.1 KB

---
name: "Apache Spark Job Manager"
slug: "apache-spark-job-manager"
description: ""
github_stars: 43119
verification: "security_reviewed"
source: "https://github.com/apache/spark"
author: "apache"
category: "Data Extraction & Transformation"
framework: "Custom Agents"
tool_ecosystem:
  github_repo: "apache/spark"
  github_stars: 43119
---

# Apache Spark Job Manager



## Prerequisites

Java, Scala, Python

## Installation

Requirements and caveats from upstream:
- high-level APIs in Scala, Java, Python, and R (Deprecated), and an optimized engine that
- ## Interactive Python Shell
- Alternatively, if you prefer Python, you can use the Python shell:

Basic usage or getting-started notes:
- To build Spark and its example programs, run:
- And run the following command, which should also return 1,000,000,000:
- ## Example Programs

- Source: https://github.com/apache/spark
- Extracted from upstream docs: https://raw.githubusercontent.com/apache/spark/HEAD/README.md

## Documentation

- https://spark.apache.org/docs/latest/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/apache-spark-job-manager/)