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npx skills add managedcode/dotnet-skills --skill "dotnet-azure-functions"
Install specific skill from multi-skill repository
# Description
Build, review, or migrate Azure Functions in .NET with correct execution model, isolated worker setup, bindings, DI, and Durable Functions patterns.
# SKILL.md
name: dotnet-azure-functions
version: "1.0.0"
category: "Cloud"
description: "Build, review, or migrate Azure Functions in .NET with correct execution model, isolated worker setup, bindings, DI, and Durable Functions patterns."
compatibility: "Requires an Azure Functions project or a migration plan for one."
Azure Functions for .NET
Trigger On
- working on Azure Functions in .NET
- migrating from the in-process model to the isolated worker model
- adding Durable Functions, bindings, or host configuration
Documentation
- Guide for running C# Azure Functions in an isolated worker process
- Differences between in-process and isolated worker process
- Migrate C# app from in-process to isolated worker model
- Durable Functions overview
- Durable Functions best practices and diagnostic tools
References
- Patterns - Isolated worker patterns, Durable Functions patterns, advanced binding patterns
- Anti-Patterns - Common Azure Functions mistakes and how to avoid them
Workflow
- Use isolated worker model for all new work:
- In-process model reaches end of support on November 10, 2026
- Runtime v1.x ends support on September 14, 2026
-
Target .NET 8+ for longest support window
-
Detect current project shape:
- Target framework and runtime version
- Worker model (isolated vs in-process)
-
Binding packages and host configuration
-
Use standard .NET patterns in isolated model:
- Normal dependency injection
- Middleware pipeline
IOptions<T>for configuration-
ILogger<T>for logging -
For Durable Functions:
- Validate orchestration determinism constraints
- Handle replay behavior correctly
-
Use typed activity patterns
-
Verify both local and deployment behavior.
Isolated Worker Model Setup
Basic Function with DI
// Program.cs
var host = new HostBuilder()
.ConfigureFunctionsWebApplication()
.ConfigureServices(services =>
{
services.AddApplicationInsightsTelemetryWorkerService();
services.ConfigureFunctionsApplicationInsights();
services.AddSingleton<IMyService, MyService>();
})
.Build();
host.Run();
HTTP Trigger Function
public class HttpFunctions(ILogger<HttpFunctions> logger, IMyService myService)
{
[Function("GetItems")]
public async Task<IActionResult> GetItems(
[HttpTrigger(AuthorizationLevel.Function, "get", Route = "items")] HttpRequest req)
{
logger.LogInformation("Processing GetItems request");
var items = await myService.GetItemsAsync();
return new OkObjectResult(items);
}
}
Queue Trigger with Options
public class QueueFunctions(ILogger<QueueFunctions> logger, IOptions<ProcessingOptions> options)
{
[Function("ProcessMessage")]
public async Task ProcessMessage(
[QueueTrigger("myqueue", Connection = "AzureWebJobsStorage")] string message)
{
logger.LogInformation("Processing message: {Message}", message);
// Process with retry policy from options
}
}
Middleware Pattern
Custom Middleware
// Program.cs
var host = new HostBuilder()
.ConfigureFunctionsWebApplication(builder =>
{
builder.UseMiddleware<ExceptionHandlingMiddleware>();
builder.UseMiddleware<CorrelationIdMiddleware>();
})
.Build();
// CorrelationIdMiddleware.cs
public class CorrelationIdMiddleware : IFunctionsWorkerMiddleware
{
public async Task Invoke(FunctionContext context, FunctionExecutionDelegate next)
{
var correlationId = context.Features.Get<IHttpRequestFeature>()?.Headers["X-Correlation-Id"]
?? Guid.NewGuid().ToString();
context.Items["CorrelationId"] = correlationId;
await next(context);
}
}
Durable Functions Patterns
Function Chaining
[Function(nameof(ChainOrchestrator))]
public static async Task<string> ChainOrchestrator(
[OrchestrationTrigger] TaskOrchestrationContext context)
{
var result1 = await context.CallActivityAsync<string>(nameof(Step1), "input");
var result2 = await context.CallActivityAsync<string>(nameof(Step2), result1);
var result3 = await context.CallActivityAsync<string>(nameof(Step3), result2);
return result3;
}
[Function(nameof(Step1))]
public static string Step1([ActivityTrigger] string input) => $"Step1({input})";
[Function(nameof(Step2))]
public static string Step2([ActivityTrigger] string input) => $"Step2({input})";
[Function(nameof(Step3))]
public static string Step3([ActivityTrigger] string input) => $"Step3({input})";
Fan-Out/Fan-In
[Function(nameof(FanOutFanInOrchestrator))]
public static async Task<int[]> FanOutFanInOrchestrator(
[OrchestrationTrigger] TaskOrchestrationContext context)
{
var workItems = await context.CallActivityAsync<string[]>(nameof(GetWorkItems), null);
// Fan out - process all items in parallel
var tasks = workItems.Select(item =>
context.CallActivityAsync<int>(nameof(ProcessWorkItem), item));
// Fan in - wait for all to complete
var results = await Task.WhenAll(tasks);
return results;
}
[Function(nameof(ProcessWorkItem))]
public static int ProcessWorkItem([ActivityTrigger] string item)
{
// Process item and return result
return item.Length;
}
Human Interaction Pattern
[Function(nameof(ApprovalOrchestrator))]
public static async Task<string> ApprovalOrchestrator(
[OrchestrationTrigger] TaskOrchestrationContext context)
{
var request = context.GetInput<ApprovalRequest>();
// Send notification
await context.CallActivityAsync(nameof(SendApprovalRequest), request);
// Wait for external event with timeout
using var cts = new CancellationTokenSource();
var approvalTask = context.WaitForExternalEvent<bool>("ApprovalEvent");
var timeoutTask = context.CreateTimer(context.CurrentUtcDateTime.AddDays(7), cts.Token);
var winner = await Task.WhenAny(approvalTask, timeoutTask);
if (winner == approvalTask)
{
cts.Cancel();
return approvalTask.Result ? "Approved" : "Rejected";
}
return "Timed out";
}
Best Practices
- Use isolated worker model for new development - Full .NET ecosystem access, middleware support, and longer support lifecycle
- Inject dependencies via constructor - Use
ILogger<T>and service interfaces for testability - Keep orchestrator code deterministic - No I/O, random, DateTime.Now, or Guid.NewGuid() in orchestrators
- Handle sensitive data in activities - Fetch secrets from Key Vault in activity functions, never in orchestrators
- Use unique task hub names - Prevent accidental sharing when multiple apps use the same storage
- Avoid large inputs/outputs - Serialize to blob storage for large payloads to prevent history bloat
- Configure concurrency limits - Set appropriate limits in host.json for resource-intensive functions
- Keep SDK and extensions updated - Latest versions include performance improvements and bug fixes
Anti-Patterns to Avoid
| Anti-Pattern | Why It's Bad | Better Approach |
|---|---|---|
| Mixing in-process and isolated guidance | Incompatible APIs and patterns | Choose one model consistently |
| Non-deterministic orchestrator code | Replay failures, stuck orchestrations | Use context.CurrentUtcDateTime, no I/O |
| Large orchestrator inputs/outputs | History bloat, memory issues | Store large data in blob storage |
| Shared task hub names | Message conflicts, stuck orchestrations | Use unique names per app |
| Secrets in orchestrator history | Security risk, exposed in logs | Fetch secrets in activity functions |
| Blocking calls in async functions | Thread pool exhaustion | Use await throughout |
| Missing retry policies | Transient failures cause job loss | Configure retry in bindings or code |
| Ignoring execution model migration | EOL November 2026 for in-process | Migrate to isolated worker model |
Deployment Considerations
Linux Consumption Plan Limitations
.NET 10+ apps cannot run on Linux Consumption plan.
Use Flex Consumption plan or App Service for .NET 10+.
.NET 9 is the last version supported on Linux Consumption.
host.json Configuration
{
"version": "2.0",
"extensions": {
"durableTask": {
"hubName": "MyUniqueTaskHub",
"maxConcurrentActivityFunctions": 10,
"maxConcurrentOrchestratorFunctions": 5
}
},
"logging": {
"applicationInsights": {
"samplingSettings": {
"isEnabled": true,
"excludedTypes": "Request"
}
}
}
}
Deliver
- correct Functions project setup for the isolated worker model
- clear binding and host configuration
- middleware for cross-cutting concerns
- Durable Functions with proper orchestration patterns
- migration-safe guidance when upgrading execution models
Validate
- execution model guidance is consistent (isolated only for new work)
- orchestrator code is deterministic
- bindings and host settings match the target runtime
- large payloads are externalized to blob storage
- retry policies are configured for transient failures
- local and deployment behavior are both verified
# Supported AI Coding Agents
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Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.