# dotnet-diagnostics

> dotnet-diagnostics — pedrosakuma-dotnet-diagnostics. Use this tool when you need to diagnose performance issues in live .NET Core applications without modifying code, providing insights through counters, CPU sampling, and heap snapshots. It solves problems related to application performance, memory leaks, and thread contention, offering a range of diagnostic capabilities through its MCP server, CLI, and BenchmarkDotNet integrations. Ideal for use in development, testing, and production environments where .NET application performance optimization is critical.

Canonical page: https://skillsregistry.net/skills/pedrosakuma-dotnet-diagnostics  
JSON: https://api.skillsregistry.net/v1/skills/pedrosakuma-dotnet-diagnostics

## Description

On-demand .NET runtime diagnostics for live CoreCLR apps — no code changes. Ships an MCP server (let an LLM drive the investigation), a standalone CLI, and a BenchmarkDotNet diagnoser, all on one engine: counters, CPU/off-CPU/alloc sampling, heap & thread snapshots, GC/contention/threadpool events, dumps.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pedrosakuma/dotnet-diagnostics)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pedrosakuma-dotnet-diagnostics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pedrosakuma-dotnet-diagnostics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pedrosakuma-dotnet-diagnostics/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt