Fabric udf perf remediate
Use this skill for the outcome in its description. Start with the supplied request and evidence, identify the specific task, and distinguish planning from execution. Do not trigger solely because the subject happens to be fashion, retail, or a technology named in an example. Read `references/execution-contract.md` before applying a retained source method.
Select the narrowest matching method below, then read its full entrypoint and the resources it requires. If multiple methods cover the same outcome, choose the one matching the user's environment and inputs; do not run them all. Retain each method's input requirements, decision steps, validation, output structure, and failure handling. If prerequisites are absent, use its honest proposal-only fallback or state that its documented path is blocked.
- **PatrickGallucci/fabric-udf-perf-remediate**: 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. Read `references/PatrickGallucci/skills/fabric-udf-perf-remediate/SKILL.md`.
Return the requested deliverable with evidence, assumptions, validation performed, unresolved dependencies, and actual execution status. Source-specific results must be verified independently; importing these methods does not establish a working service connection.