Diagnose slow or failed AIDP Spark work using cluster logs, metrics, and the Spark UI REST API. Use when a job/query is slow or failed, the user asks "why did this fail / why is it slow", or you need stage/task timings, skew, shuffle/spill, executor, or SQL-execution details. Lightweight triage — for deep performance tuning (skew/spill/shuffle/joins/AQE/Delta) use the aidp-spark-optimization skill.
How to install aidp-spark-debugging?
ahmedawan-oracle/claude-code-plugins/aidp-spark-debugging
$npx -y skills add ahmedawan-oracle/claude-code-plugins --skill aidp-spark-debuggingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ahmedawan-oracle/claude-code-plugins" --skill "ahmedawan-oracle/claude-code-plugins/aidp-spark-debugging"` 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/ahmedawan-oracle/claude-code-plugins" that are relevant to the current task. Run `npx skills add "https://github.com/ahmedawan-oracle/claude-code-plugins"` and select the relevant skills, then follow their instructions.
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