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Dump Collect

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dotnet
dump-collect

Configure and collect crash dumps for modern .NET applications. USE FOR: enabling automatic crash dumps for CoreCLR or NativeAOT, capturing dumps from running .NET processes, setting up dump collection in Docker or Kubernetes, using dotnet-dump collect or createdump. DO NOT USE FOR: analyzing or debugging dumps, post-mortem investigation with lldb/windbg/dotnet-dump analyze, profiling or tracing, or for .NET Framework processes.

Overview

Publisherdotnet
Repositoryskills
Skill namedump-collect
Stars
5.4K
Forks
416
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dotnet on GitHub. Read the source before you install it.

Installation

Install the Dump Collect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dotnet/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/dotnet-diag/skills/dump-collect .claude/skills/dump-collect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dump Collect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dump Collect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dump Collect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

.NET Crash Dump Collection

This skill configures and collects crash dumps for modern .NET applications (CoreCLR and NativeAOT) on Linux, macOS, and Windows — including containers.

Stop Signals

🚨 Read before starting any workflow.

  • Stop after dumps are enabled or collected. Do not open, analyze, or triage dump files.
  • If the user already has a dump file, this skill does not cover analysis. Let them know analysis is out of scope.
  • Do not install analysis tools (dotnet-dump analyze, windbg). Only install collection tools (dotnet-dump collect). Using lldb for on-demand dump capture on macOS is allowed — it ships with Xcode command-line tools and is not being used for analysis.
  • Do not trace root cause of crashes. Report the dump file location and move on.
  • Do not modify application code. Configuration is environment-only (env vars, OS settings, container specs).

Step 1 — Identify the Scenario

Ask or determine:

  1. Goal: Enable automatic crash dumps, or capture a dump from a running process right now?
  2. Platform: Linux, macOS, or Windows? Running in a container (Docker/Kubernetes)?
  3. Runtime: CoreCLR or NativeAOT?

Detecting CoreCLR vs NativeAOT

From a binary file (Linux/macOS):

bash
# CoreCLR — has IL metadata / managed entry point
strings <binary> | grep -q "CorExeMain" && echo "CoreCLR"

# NativeAOT — has Redhawk runtime symbols
strings <binary> | grep -q "Rhp" && echo "NativeAOT"

# On macOS/Linux, also try:
nm <binary> 2>/dev/null | grep -qi "Rhp" && echo "NativeAOT"

From a binary file (Windows):

powershell
# CoreCLR — has a CLI header (IL entry point)
dumpbin /clrheader <binary.exe> | Select-String "CLI Header" -Quiet

# NativeAOT — no CLI header, has Redhawk symbols
dumpbin /symbols <binary.exe> | Select-String "Rhp" -Quiet

From a running process (Linux):

bash
# Resolve the binary, then use the same file checks
BINARY=$(readlink /proc/<pid>/exe)
strings "$BINARY" | grep -q "CorExeMain" && echo "CoreCLR" || echo "NativeAOT"

From a running process (macOS):

bash
# Resolve the binary path from the running process
BINARY=$(ps -o comm= -p <pid>)
strings "$BINARY" | grep -q "CorExeMain" && echo "CoreCLR" || echo "NativeAOT"

From a running process (Windows PowerShell):

powershell
# CoreCLR — loads coreclr.dll
(Get-Process -Id <pid>).Modules.ModuleName -contains "coreclr.dll"

# .NET Framework — loads clr.dll (this skill does not apply)
(Get-Process -Id <pid>).Modules.ModuleName -contains "clr.dll"

If the app is .NET Framework (clr.dll), stop. This skill covers modern .NET (CoreCLR and NativeAOT) only.

If neither CoreCLR nor NativeAOT is detected, stop. This skill only applies to .NET applications — do not proceed.

Step 2 — Load the Appropriate Reference

Based on the scenario identified in Step 1, read the relevant reference file:

ScenarioReference
CoreCLR app (any platform)references/coreclr-dumps.md
NativeAOT app (any platform)references/nativeaot-dumps.md
Any app in Docker or Kubernetesreferences/container-dumps.md (then also load the runtime-specific reference)

Step 3 — Execute

Follow the instructions in the loaded reference to configure or collect dumps. Always:

  1. Confirm the dump output directory exists and has write permissions before enabling collection.
  2. Report the dump file path back to the user after collection succeeds.
  3. Verify configuration took effect — for env vars, echo them; for OS settings, read them back.
  4. Remind the user to disable automatic dumps if they were enabled temporarily — remove or unset DOTNET_DbgEnableMiniDump and related env vars to avoid accumulating dump files.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dump Collect AI skill do?

Configure and collect crash dumps for modern .NET applications. USE FOR: enabling automatic crash dumps for CoreCLR or NativeAOT, capturing dumps from running .NET processes, setting up dump collection in Docker or Kubernetes, using dotnet-dump collect or createdump. DO NOT USE FOR: analyzing or debugging dumps, post-mortem investigation with lldb/windbg/dotnet-dump analyze, profiling or tracing, or for .NET Framework processes.

Why use Dump Collect on TypingMind?

Because you install it once and use it with any model. Dump Collect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dump Collect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dotnet/skills/tree/main/plugins/dotnet-diag/skills/dump-collect. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dump Collect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dump Collect?

As many as you like. As long as a model supports skills, you can use Dump Collect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dump Collect AI skill free?

Yes. It is published on GitHub by dotnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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