Diagnose and resolve performance issues in Microsoft Fabric notebooks running Apache Spark. Use when notebooks are slow, Spark jobs are timing out, sessions hit HTTP 430 throttling errors, data skew causes straggling tasks, shuffle operations are inefficient, Delta Lake tables need optimization, V-Order configuration is needed, capacity utilization is high, OOM errors occur, or Spark Advisor warnings appear. Covers Spark session tuning, Native Execution Engine, autotune, custom Spark pools, partition optimization, and Monitoring Hub diagnostics.
$npx -y skills add patrickgallucci/fabric-skills --skill fabric-notebook-perf-remediateInstalls into the current project.
Run `npx skills use "https://github.com/patrickgallucci/fabric-skills" --skill "patrickgallucci/fabric-skills/fabric-notebook-perf-remediate"` 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/patrickgallucci/fabric-skills" that are relevant to the current task. Run `npx skills add "https://github.com/patrickgallucci/fabric-skills"` and select the relevant skills, then follow their instructions.