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Quick Start: Alexa Skills Kit Command Line Interface (ASK CLI)

In this article, we are talking about how to configure ASK-CLI to create and manage Alexa skill using Command Line Interface.

The Alexa Skills Kit Command Line Interface (ask-cli) is used to create, manage, and deploy Alexa skills from the command line. ASK CLI is a tool for you to manage your Alexa skills and related resources, such as AWS Lambda functions. With ASK CLI, you have access to the Skill Management API, which allows you to manage Alexa skills programmatically from the command line.

Please see the full documentation from ASK CLI quick start guide.

Before installing ASK CLI, make sure to have the following prerequisites:

To verify your installation, check your version of AWS. Open a command prompt, then type

You should see your AWS CLI version.

If you have an IAM user you can skip this step otherwise please follow this link to create AWS Credentials.

Open a terminal and type the following command.

So, now we can configure ASK CLI.

  • Install ask-cli
  • Once that’s done, verify the ask-cli installation
  • Now, we’ll need to link accounts. To start that process, run the ask command along with the configure:

This interactive command opens a web browser so you can sign in to your Amazon Developer account.

Once sign-in is successful. Close the browser and continue.

  • If you’re on a computer without a browser installed, you can use the ask configure --no-browser the command to complete initialization.

Open link with any browser and login > It will return Authorization Code

Copy Code and paste it into the console.

Now, Assosiate an AWS Profile with ASK-CLI

Enter Y .

Enter Y .

Great, we configured ask-cli successfully.

In my next article, we will see how we can create and manage Alexa skills using The Alexa Skills Kit Command Line Interface (ASK-CLI).

Thank you for reading, if you have anything to add please send a response or add a note!

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Prashant Bhatasana

AWS Community Builder | Terraform Associate | Infra. Automation Engineer, Love to work with #AWS #Terraform #Jenkins #kubernetes #Docker #Ansible #Selenium