dotnet-trace-collect

Solid

Guide developers through capturing diagnostic artifacts to diagnose production .NET performance issues. Use when the user needs help choosing diagnostic tools, collecting performance data, or understanding tool trade-offs across different environments (Windows/Linux, .NET Framework/modern .NET, container/non-container).

Code & Development 3,357 stars 247 forks Updated today MIT

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Skill Content

# .NET Trace Collect This skill helps developers diagnose production performance issues by recommending the right diagnostic tools for their environment, guiding data collection, and suggesting analysis approaches. It does not analyze code for anti-patterns or perform the analysis itself. ## When to Use - A developer needs to investigate a production performance issue (high CPU, memory leak, slow requests, excessive GC, networking errors, etc.) - Choosing the right diagnostic tool for a specific runtime, OS, or deployment topology - Setting up and running diagnostic tool commands for data collection - Understanding trade-offs between available tools (e.g. PerfView vs dotnet-trace) - Collecting diagnostics from containerized or Kubernetes workloads ## When Not to Use - Reviewing source code for performance anti-patterns (use a code review skill instead) - Benchmarking during development (e.g. BenchmarkDotNet setup) - Analyzing collected trace or dump files (this skill recommends tools for analysis, but does not perform it) ## Inputs | Input | Required | Description | |-------|----------|-------------| | Symptom | Yes | What the developer is observing (high CPU, memory growth, slow requests, hangs, excessive GC, HTTP 5xx errors, networking timeouts, connection failures, assembly loading failures, etc.) | | Runtime | Yes | .NET Framework or modern .NET (and version, especially whether .NET 10+) | | OS | Yes | Windows or Linux | | Deployment | Yes | Non-container, containe...

Details

Author
dotnet
Repository
dotnet/skills
Created
4 months ago
Last Updated
today
Language
C#
License
MIT

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