spark-engineer
byjeffallan· 67 skills
Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.
How to install spark-engineer?
jeffallan/claude-skills/spark-engineer
$npx -y skills add jeffallan/claude-skills --skill spark-engineerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jeffallan/claude-skills" --skill "jeffallan/claude-skills/spark-engineer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jeffallan/claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jeffallan/claude-skills"` and select the relevant skills, then follow their instructions.
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