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From aws-skills-for-claude-code
Troubleshoots Spark applications on AWS EMR, Glue, and SageMaker: analyzes PySpark/Scala job failures, identifies bottlenecks, provides code recommendations and optimizations.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aws-skills-for-claude-code:spark-troubleshootingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- Failure analysis for PySpark and Scala jobs
Requires CloudFormation stack deployment for IAM role. See AWS docs for setup.
npx claudepluginhub whchoi98/aws-skills-for-claude-code --plugin aws-skills-for-claude-codeDiagnose failed Spark jobs, unhealthy Livy sessions, and performance bottlenecks in Microsoft Fabric via read-only CLI triage. Identifies OOM, shuffle spill, data skew, and retrieves logs.
Optimizes Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance or scaling data pipelines.
Diagnose failed Spark jobs, unhealthy Livy sessions, and performance bottlenecks in Microsoft Fabric via read-only CLI triage.