appinsights-instrumentation
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
git clone --depth 1 https://github.com/jonathan-vella/apex /tmp/appinsights-instrumentation && cp -r /tmp/appinsights-instrumentation/.archive/_archived_skills/appinsights-instrumentation ~/.claude/skills/appinsights-instrumentationSKILL.md
# AppInsights Instrumentation Guide This skill provides **guidance and reference material** for instrumenting webapps with Azure Application Insights. > **⛔ ADDING COMPONENTS?** > > If the user wants to **add App Insights to their app**, invoke **azure-prepare** instead. > This skill provides reference material—azure-prepare orchestrates the actual changes. ## When to Use This Skill - User asks **how** to instrument (guidance, patterns, examples) - User needs SDK setup instructions - azure-prepare invokes this skill during research phase - User wants to understand App Insights concepts ## When to Use azure-prepare Instead - User says "add telemetry to my app" - User says "add App Insights" - User wants to modify their project - Any request to change/add components ## Prerequisites The app in the workspace must be one of these kinds - An ASP.NET Core app hosted in Azure - A Node.js app hosted in Azure ## Guidelines ### Collect context information Find out the (programming language, application framework, hosting) tuple of the application the user is trying to add telemetry support in. This determines how the application can be instrumented. Read the source code to make an educated guess. Confirm with the user on anything you don't know. You must always ask the user where the application is hosted (e.g. on a personal computer, in an Azure App Service as code, in an Azure App Service as container, in an Azure Container App, etc.). ### Prefer auto-instrument if possible If the app is a C# ASP.NET Core app hosted in Azure App Service, use [AUTO guide](references/auto.md) to help user auto-instrument the app. ### Manually instrument Manually instrument the app by creating the AppInsights resource and update the app's code. #### Create AppInsights resource Use one of the following options that fits the environment. - Add AppInsights to existing Bicep template. See [examples/appinsights.bicep](examples/appinsights.bicep) for what to add. This is the best option if there are existing Bicep template files in the workspace. - Use Azure CLI. See [scripts/appinsights.ps1](scripts/appinsights.ps1) for what Azure CLI command to execute to create the App Insights resource. No matter which option you choose, recommend the user to create the App Insights resource in a meaningful resource group that makes managing resources easier. A good candidate will be the same resource group that contains the resources for the hosted app in Azure. #### Modify application code - If the app is an ASP.NET Core app, see [ASPNETCORE guide](references/aspnetcore.md) for how to modify the C# code. - If the app is a Node.js app, see [NODEJS guide](references/nodejs.md) for how to modify the JavaScript/TypeScript code. - If the app is a Python app, see [PYTHON guide](references/python.md) for how to modify the Python code. ## SDK Quick References - **OpenTelemetry Distro**: [Python](references/sdk/azure-monitor-opentelemetry-py.md) | [TypeScript](references/sdk/azure-monitor-opentelemetry-ts.md) - **OpenTelemetry Exporter**: [Python](references/sdk/azure-monitor-opentelemetry-exporter-py.md) | [Java](references/sdk/azure-monitor-opentelemetry-exporter-java.md) ## Reference Index Load these on demand — do NOT read all at once: | Reference | When to Load | | -------------------------- | ------------ | | `references/aspnetcore.md` | Aspnetcore | | `references/auto.md` | Auto | | `references/nodejs.md` | Nodejs | | `references/python.md` | Python |
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
ROUTING SKILL — delegates to specialized diagram skills. USE FOR: any diagram request when the caller does not know which tool to use. Routes to drawio, python-diagrams, or mermaid based on diagram type.
Build and deploy GitHub Copilot SDK apps to Azure. WHEN: build copilot app, create copilot app, copilot SDK, @github/copilot-sdk, scaffold copilot project, copilot-powered app, deploy copilot app, host on azure, azure model, BYOM, bring your own model, use my own model, azure openai model, DefaultAzureCredential, self-hosted model, copilot SDK service, chat app with copilot, copilot-sdk-service template, azd init copilot, CopilotClient, createSession, sendAndWait, GitHub Models API.
Troubleshoot and resolve issues with Azure Messaging SDKs for Event Hubs and Service Bus. Covers connection failures, authentication errors, message processing issues, and SDK configuration problems. WHEN: event hub SDK error, service bus SDK issue, messaging connection failure, AMQP error, event processor host issue, message lock lost, send timeout, receiver disconnected, SDK troubleshooting, azure messaging SDK, event hub consumer, service bus queue issue, topic subscription error, enable logging event hub, service bus logging, eventhub python, servicebus java, eventhub javascript, servicebus dotnet, event hub checkpoint, event hub not receiving messages, service bus dead letter.
Authoritative reference for VS Code Copilot customization mechanisms: instructions, prompt files, custom agents, agent skills, MCP servers, hooks, and plugins. Use when deciding which customization type to use, creating new .instructions.md/.prompt.md/.agent.md/SKILL.md/mcp.json files from scratch, or debugging why a customization is not loading. DO NOT USE FOR: routine file edits where the format is already known.
Provides canonical entity counts from count-manifest.json. Use when agents need to reference how many agents, skills, instructions, or validators exist. Prevents hard-coded counts. WHEN: agent count, skill count, how many agents, how many skills, entity inventory, project statistics.
Scaffolds new Agent Skills with SKILL.md frontmatter, folder structure, and bundled resources. USE FOR: create a skill, scaffold skill, new skill template, add agent capability. DO NOT USE FOR: Azure infrastructure, Bicep/Terraform code, architecture decisions.