Diagnose and resolve performance issues with Microsoft Fabric User Data Functions. Use when functions are slow, timing out, returning errors, consuming excessive capacity units, or exhibiting cold start latency. Covers execution timeouts, response size limits, connection bottlenecks, logging analysis, capacity metrics monitoring, invocation diagnostics, Python optimization, and UDF service limit remediate.
$npx -y skills add patrickgallucci/fabric-skills --skill fabric-udf-perf-remediateInstalls into the current project.
Run `npx skills use "https://github.com/patrickgallucci/fabric-skills" --skill "patrickgallucci/fabric-skills/fabric-udf-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.