AlexaNetCore 0.6.0.4

.NET Standard 2.1 This package targets .NET Standard 2.1. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package AlexaNetCore --version 0.6.0.4                

                    
                

            
NuGet\Install-Package AlexaNetCore -Version 0.6.0.4
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="AlexaNetCore" Version="0.6.0.4" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add AlexaNetCore --version 0.6.0.4                

                    
                

            
#r "nuget: AlexaNetCore, 0.6.0.4"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install AlexaNetCore as a Cake Addin
#addin nuget:?package=AlexaNetCore&version=0.6.0.4

// Install AlexaNetCore as a Cake Tool
#tool nuget:?package=AlexaNetCore&version=0.6.0.4

AlexaNetCore

A minimalistic framework for Alexa using .NET Core

AlexNetCore is a .Net Core library that can be used for creating Alexa custom skills.
The basic <a href="https://github.com/bradirby/AlexaNetCore_HelloWorld" target="_blank">HelloWorld skill</a> has only 3 lines but creates a skill that responds to the given wake word with a text string of your choosing.
As I add functionality, I will also add other sample projects so you can exercise you skills.

Why .Net Core?

Alexa skills hosted by Amazon are easily created in Python and Node.js using examples provided by Amazon, so why bother with .Net Core?

Developers are loving working with .Net Core for its cross platform capabilities, size of the executables, and the speed. When building the many pieces that go into enterprise apps it is convenient to keep coding in the same technology for all your solutions. Using this library, you can do everything you need to build a fully functional Alexa skill aimed at your own business, using the technology you are comfortable in.

Another Advantage - Unit Tests!

The AlexaNetCore library was built around the ability to unit test everything. I don't just mean the library itself, but you can unit test your custom skill logic processing without needing to resort to live voice interaction. This is because and the library can consume a JSON string and process it as if it came through the Alexa voice processing services. Just copy/paste the json from the AWS Alexa test console into a unit test in Visual Studio, and you can test all your voice logic just like you would other business logic.

How do I get started?

Check out the <a href="https://alexanetcore.com/" target="_blank">User docs</a> for sample project and how-to tutorials

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
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Xamarin.TVOS xamarintvos was computed. 
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Version Downloads Last updated
0.7.0.1 529 8/3/2022
0.7.0 429 7/5/2022
0.6.1 465 4/1/2022
0.6.0.4 433 3/28/2022
0.6.0 470 3/4/2022
0.5.2 441 2/22/2022

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