Debug Spark Failure
EmbrasureAI/spark-observability-skillsDiagnose failed Apache Spark and PySpark applications from History Server evidence, logs, and cluster-manager state. Use for driver or executor crashes, out-of-memory errors, fetch failures, task exceptions, timeouts, repeated retries, aborted stages, and intermittent production failures.
At a glance
This skill is for Coding.
git clone --depth 1 https://github.com/EmbrasureAI/spark-observability-skills
cp -r spark-observability-skills/skills/debug-spark-failure ~/.claude/skills/debug-spark-failure
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