Azure Chaos Studio logo

Azure Chaos Studio

Organization
MicrosoftDocs
azure-chaos-studio

Expert knowledge for Chaos Studio development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when automating Chaos Studio via CLI/ARM, configuring faults/targets, securing networks/identity, or choosing Workspaces vs classic, and other Chaos Studio related development tasks. Not for Azure Resiliency (use azure-resiliency), Azure Reliability (use azure-reliability), Azure Monitor (use azure-monitor), Azure Site Recovery (use azure-site-recovery).

Overview

PublisherMicrosoftDocs
RepositoryAgent-Skills
Skill nameazure-chaos-studio
Stars
778
Forks
126
Bundled files
Instructions only
LicenseCC-BY-4.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Azure Chaos Studio 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.
    https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-chaos-studio
  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/MicrosoftDocs/Agent-Skills.git /tmp/Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills/skills/azure-chaos-studio .claude/skills/azure-chaos-studio
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Chaos Studio 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 Azure Chaos Studio 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 Azure Chaos Studio 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.

Chaos Studio Skill

This skill provides expert guidance for Chaos Studio. Covers troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

CategoryLinesDescription
TroubleshootingL36-L44Diagnosing and fixing Chaos Studio agent, workspace, scenario, and classic experiment issues, including status verification, known errors, and common deployment/runtime failures.
Best PracticesL45-L49Known issues, limitations, and workarounds for the Chaos Studio agent, plus guidance for using Chaos Studio Workspaces to test AKS node zone resilience and failure scenarios.
Decision MakingL50-L55Guidance on when to use Chaos Workspaces vs classic Experiments and how to migrate existing classic experiments into Workspaces.
Limits & QuotasL56-L62Limits, quotas, and known issues for Chaos Studio classic, experiments, and Workspaces preview, including feature restrictions and current platform limitations.
SecurityL63-L76Networking, identity, RBAC, AKS auth, IP allowlists, Private Link, CMK, and least-privilege role design for securely running Chaos Studio experiments and workspaces.
ConfigurationL77-L87Configuring and managing Chaos Studio classic experiments, including faults/actions, target selection (static/dynamic), virtual network injection, and Azure Policy-based target configuration.
Integrations & Coding PatternsL88-L111Patterns and examples for automating, integrating, and scripting Chaos Studio experiments and agents using CLI, ARM/Bicep, REST, Logic Apps, and Azure monitoring/telemetry tools.
DeploymentL112-L119Checking OS/region/model compatibility, and deploying Chaos Studio classic experiments and targets using ARM templates, including version and fault support details.

Troubleshooting

Best Practices

TopicURL
Test AKS node zone resilience with Chaos Studio Workspaceshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-aks-guidance

Decision Making

Limits & Quotas

TopicURL
Review limitations and known issues for Chaos Experimentshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-limitations
Review Chaos Studio classic service limits and quotashttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-service-limits
Review Chaos Studio Workspaces preview limitationshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-workspaces-limitations

Security

Configuration

Integrations & Coding Patterns

TopicURL
Use Chaos Studio relay container for private networkshttps://learn.microsoft.com/en-us/azure/chaos-studio/azure-container-instance-details
Deploy Chaos Studio agent with ARM templateshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-agent-arm-template
Deploy Chaos Studio classic experiments with Bicephttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-bicep
Measure Chaos Experiment impact with Azure Monitor Workbookshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-fault-metrics-and-dashboard
Manage Chaos Studio Workspaces and Scenarios with Azure CLIhttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-manage-cli
Manage Chaos Experiments with REST API sampleshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-samples-rest-api
Send Chaos Studio agent telemetry to Application Insightshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-set-up-app-insights
Send Chaos Studio experiment telemetry to Azure Monitorhttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-set-up-azure-monitor
Simulate Microsoft Entra ID outages with classic experimentshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-aad-outage-portal
Define agent-based CPU pressure experiments with Azure CLIhttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-agent-based-cli
Configure agent-based faults in portal for classic experimentshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-agent-based-portal
Configure AKS Chaos Mesh faults with Azure CLIhttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-aks-cli
Create AKS Chaos Mesh faults in portal for classic experimentshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-aks-portal
Simulate availability zone down on VM scale setshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-availability-zone-down-portal
Simulate DNS outages with NSG rules in classic experimentshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-dns-outage
Configure dynamic VM targets with Azure CLI for Chaos Experimentshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-dynamic-target-cli
Script service-direct faults with Azure CLI and RESThttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-service-direct-cli
Create service-direct faults in portal for classic experimentshttps://learn.microsoft.com/en-us/azure/chaos-studio/chaos-studio-tutorial-service-direct-portal
Use CLI and portal experiment examples in Chaos Studiohttps://learn.microsoft.com/en-us/azure/chaos-studio/experiment-examples
Schedule recurring classic experiments with Logic Appshttps://learn.microsoft.com/en-us/azure/chaos-studio/tutorial-schedule

Deployment

Frequently asked questions

What does the Azure Chaos Studio AI skill do?

Expert knowledge for Chaos Studio development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when automating Chaos Studio via CLI/ARM, configuring faults/targets, securing networks/identity, or choosing Workspaces vs classic, and other Chaos Studio related development tasks. Not for Azure Resiliency (use azure-resiliency), Azure Reliability (use azure-reliability), Azure Monitor (use azure-monitor), Azure Site Recovery (use azure-site-recovery).

Why use Azure Chaos Studio on TypingMind?

Because you install it once and use it with any model. Azure Chaos Studio 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 Azure Chaos Studio in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-chaos-studio. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Azure Chaos Studio?

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 Azure Chaos Studio?

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

Is the Azure Chaos Studio AI skill free?

Yes. It is published on GitHub by MicrosoftDocs under the CC-BY-4.0 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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