Is it safe to use in production environments?

Yes, the skill provides guidance on using lightweight 'Mini' dumps and specific trace profiles to minimize the performance impact while collecting diagnostic data in production.

Does it provide code-level recommendations?

Yes, after analyzing traces or dumps, the skill identifies patterns like lock contention or string allocation overhead and provides specific C# code improvements to fix them.

Can I use this skill to profile .NET apps on Linux?

Yes, all supported tools (dotnet-trace, dotnet-counters, and dotnet-dump) are fully functional on Linux for both collection and analysis.

Which .NET diagnostic tools does this skill support?

It supports the official .NET CLI diagnostic suite, specifically dotnet-trace for CPU and event collection, dotnet-counters for live performance metrics, and dotnet-dump for managed memory analysis.

How does it help identify memory leaks?

The skill guides you through collecting a heap dump and performing interactive analysis using commands like 'dumpheap' to find large types and 'gcroot' to find what is keeping objects alive.

.NET Performance Profiling & Diagnostics

Name: .NET Performance Profiling & Diagnostics
Author: timheuer

bytimheuer

0•

Analytics & Monitoring

Diagnoses and optimizes .NET application performance using official CLI diagnostic tools like dotnet-trace, dotnet-counters, and dotnet-dump.

This skill transforms Claude into a specialized .NET diagnostics engineer capable of identifying performance bottlenecks, memory leaks, and threading issues. It provides expert guidance on using the official .NET CLI tools to collect CPU traces, monitor live runtime metrics, and analyze memory dumps across Windows, Linux, and macOS. By interpreting complex diagnostic data, it offers actionable code-level recommendations to resolve high CPU usage, GC pressure, threadpool starvation, and sync-over-async patterns, ensuring your .NET applications run at peak efficiency in development and production.

Key Features

010 GitHub stars

02Pattern-based optimization recommendations for common .NET performance anti-patterns.

03Comprehensive memory dump analysis for leak detection and object retention tracking.

04Step-by-step troubleshooting workflows for threadpool exhaustion and lock contention.

05Automated CPU hotspot identification using dotnet-trace and topN reporting.

06Real-time runtime metric monitoring and CSV/JSON collection with dotnet-counters.

Use Cases

01Investigating managed memory growth and identifying root causes of memory leaks via gcroot.

02Debugging high CPU usage or unresponsive processes in production environments.

03Resolving application latency caused by Garbage Collection (GC) pressure or sync-over-async.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add timheuer/ai-skills dotnet-profile

For use in Claude.ai and ChatGPT

Download Skill