Azure App Testing logo

Azure App Testing

Organization
MicrosoftDocs
azure-app-testing

Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running Azure Load Testing, Playwright Workspaces, JMeter/Locust tests, private endpoint/VNet tests, or CI/CD runs, and other Azure App Testing related development tasks. Not for Azure Test Plans (use azure-test-plans), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure App Service (use azure-app-service).

Overview

PublisherMicrosoftDocs
RepositoryAgent-Skills
Skill nameazure-app-testing
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 App Testing 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-app-testing
  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-app-testing .claude/skills/azure-app-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure App Testing 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 App Testing 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 App Testing 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.

Azure App Testing Skill

This skill provides expert guidance for Azure App Testing. Covers troubleshooting, best practices, decision making, architecture & design patterns, 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
TroubleshootingL37-L48Diagnosing and fixing Azure Load Testing issues, including AI-driven insights, debug mode, browser recorder, private endpoints, and Playwright Workspaces (remote MCP, reporting, and test run errors).
Best PracticesL49-L57Guidance on load testing App Service apps, tuning high-scale tests, finding performance bottlenecks, and optimizing Playwright Workspace tests for reliability and low latency.
Decision MakingL58-L65Guides for deciding load test resource moves (regions, groups, subscriptions) and tuning performance settings like Azure Functions configs and Playwright parallelism.
Architecture & Design PatternsL66-L71Designing Azure Load Testing setups with virtual networks and private endpoints, including VNet-injected tests, network isolation, and testing services over private connectivity.
Limits & QuotasL72-L79Usage caps, service limits, and configuration for Azure Load Testing and Playwright Workspaces, including monthly quotas, free trial restrictions, and how to adjust or review these limits.
SecurityL80-L92Securing Azure Load Testing and Playwright Workspaces: RBAC, auth for endpoints, managed identities, Key Vault, CMK encryption, certificates, access tokens, and Azure Policy controls.
ConfigurationL93-L113Configuring and running Azure Load Testing and Playwright Workspaces: test definitions, HTTP/JMeter settings, secrets, monitoring, baselines, reporting/export, CI/CD YAML, scheduling, and multi-region load.
Integrations & Coding PatternsL114-L125Patterns and tools for integrating Azure Load Testing with JMeter, Locust, VS Code/Copilot, CSV data, plugins, and Playwright (including MCP and local/private app testing).
DeploymentL126-L130Setting up and automating CI/CD for Azure Load Testing, including manual pipeline configuration and integration with Azure Pipelines for automated test runs.

Troubleshooting

Best Practices

Decision Making

Architecture & Design Patterns

TopicURL
Choose virtual network deployment scenarios for Azure Load Testinghttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/concept-azure-load-testing-vnet-injection
Test private endpoints with virtual network–injected Azure Load Testinghttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-test-private-endpoint

Limits & Quotas

Security

Configuration

TopicURL
Configure HTTP requests in URL-based Azure load testshttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-add-requests-to-url-based-test
Compare multiple Azure load test runs and baselineshttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-compare-multiple-test-runs
Configure JMeter user properties in Azure Load Testinghttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-configure-user-properties
Create and manage Azure load test definitionshttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-create-manage-test
Create and manage Azure load test runs in the portalhttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-create-manage-test-runs
Configure fail and auto-stop criteria for Azure load testshttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-define-test-criteria
Export Azure Load Testing results for external reportinghttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-export-test-results
Generate multi-region load with Azure Load Testinghttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-generate-load-from-multiple-regions
Monitor server-side Azure resource metrics during load testshttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-monitor-server-side-metrics
Use secrets and environment variables in Azure Load Testinghttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-parameterize-load-tests
Schedule recurring Azure load testshttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-schedule-tests
Use Azure Load Testing results dashboard for analysishttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/how-to-understand-test-run-results-dashboard
Reference for Azure Load Testing monitoring data and resourceshttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/monitor-load-testing-reference
Configure Azure Load Testing with YAML in CI/CDhttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/reference-test-config-yaml
JMeter properties overridden by Azure Load Testinghttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/resource-jmeter-property-overrides
Select supported Azure resources for Load Testing monitoringhttps://learn.microsoft.com/en-us/azure/app-testing/load-testing/resource-supported-azure-resource-types
Use Playwright Workspaces service configuration file optionshttps://learn.microsoft.com/en-us/azure/app-testing/playwright-workspaces/how-to-use-service-config-file

Integrations & Coding Patterns

Deployment

Frequently asked questions

What does the Azure App Testing AI skill do?

Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running Azure Load Testing, Playwright Workspaces, JMeter/Locust tests, private endpoint/VNet tests, or CI/CD runs, and other Azure App Testing related development tasks. Not for Azure Test Plans (use azure-test-plans), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure App Service (use azure-app-service).

Why use Azure App Testing on TypingMind?

Because you install it once and use it with any model. Azure App Testing 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 App Testing in TypingMind?

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

Which AI models can use Azure App Testing?

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 App Testing?

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

Is the Azure App Testing 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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