在 Apache Spark 上管理、提交和监控大数据处理作业。
Apache Spark 作业管理器是一项 AI 智能体技能，旨在简化在 Apache Spark 集群上运行的数据处理作业的管理。它支持使用 Scala、Java、Python 和 R（已弃用）编写的高层次 API，并利用 Spark 的优化引擎实现高性能。该技能使得在交互式 shell 中提交作业、从命令行构建和运行示例程序以及访问官方文档成为可能。它适用于希望简化与 Spark 交互操作的开发者和数据工程师，并可以从 Agent Skill Exchange 社区获取。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-spark-job-managerJava, Scala, Python
来自上游的要求和注意事项：
基本使用或入门指南：
要构建 Spark 及其示例程序，请运行：
再运行以下命令，它也应该返回 1,000,000,000：
提取自上游文档：https://raw.githubusercontent.com/apache/spark/HEAD/README.md
This repo contains 20 individual skills — each has its own dedicated page.
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Obra superpowers agent skills.
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