Guide users through enabling the Application Insights Profiler for .NET on their platform. Use this when asked to enable the profiler, set up profiling, or when profiler data is missing.
microsoft/code-optimizations-skills
SkillsMP has collected 10 skills from microsoft/code-optimizations-skills. Open a skill to review its source and details.
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Showing 10 of 10 collected skills.
Download a profiler trace file from Application Insights Profiler. Use this when asked to download, save, or export a profiler trace or .etl/.nettrace file.
Download a snapshot dump file from Application Insights Snapshot Debugger. Use this when asked to download, save, or export a snapshot or .dmp file for offline debugging.
Fetch and display the hot path from an Application Insights Profiler trace. Use this when asked to get the profiler hot path, call tree, or trace analysis for an App Insights resource.
Fetch exception details, call stack, and variable values from an Application Insights Snapshot Debugger snapshot. Use this when asked to inspect a snapshot, view exception info, debug an exception, or see variable values from a crash.
Explore errors in Application Insights — exceptions, failed requests, and failed dependencies. Use this when asked to find errors, investigate failures, identify reliability issues, or recommend which errors to fix.
Analyze AI agent telemetry from Application Insights, including anomaly detection, trend analysis, and performance statistics. Use this when asked to analyze AI agent performance, detect anomalies in agent telemetry, or review agent trace data.
Cross-resource deep analysis of a specific distributed trace. Takes an operation ID and correlates telemetry across multiple Application Insights resources to build a unified picture of a distributed operation.
Guide users through enabling the Application Insights Snapshot Debugger for .NET on their platform. Use this when asked to enable the snapshot debugger, set up snapshot collection, or when snapshot data is missing.
Guide for analyzing performance issues based on profiler and code optimizations, including CPU, latency, and throughput. Use this when asked to investigate performance bottlenecks or optimize application performance.