Diagnose and resolve Apache Spark performance issues in Microsoft Fabric. Use when asked to troubleshoot slow Spark notebooks, optimize Spark SQL queries, fix data skew or shuffle bottlenecks, tune spark.sql.shuffle.partitions or autoBroadcastJoinThreshold, configure resource profiles (writeHeavy, readHeavyForSpark, readHeavyForPBI), enable autotune, resolve HTTP 430 throttling errors, analyze Spark UI stages and executors, optimize Delta Lake writes with VOrder or Optimized Write, run table maintenance (bin-compaction, vacuum, Z-Order), fix small files problems, tune streaming throughput, or right-size Fabric Spark pools and capacity SKUs.
$npx -y skills add patrickgallucci/fabric-skills --skill fabric-spark-perf-remediateInstalls into the current project.
Run `npx skills use "https://github.com/patrickgallucci/fabric-skills" --skill "patrickgallucci/fabric-skills/fabric-spark-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.