Amit Jotwani

Amit Jotwani

Creating an Alexa skill using the Command Line Interface (CLI)

Tech Guide

If you’re into building skills, you’re probably familiar with Alexa Skills Kit’s Command Line Interface, which lets you create and manage your skill using the CLI, like updating the interaction model, and the backend code. You can of course manage these directly through the Alexa Developer Console, and AWS respectively, but CLI is a much faster workflow.

There are two ways to create a new Alexa skill using the ASK-CLI. You can use AWS Lambda as your backend, or if you are new and would like to keep things simple initially, you can use Alexa Hosted.

With an Alexa-hosted skill, your code is available inside a code editor in the Alexa developer console itself, so you can edit and deploy changes to your code quickly, without needing to set up an AWS account.

Let’s look at how you can use the ASK-CLI to create a new skill using each of these two backend options.

Option 1: Using AWS Lambda as the backend


  1. An Amazon developer account. Sign up is free.
  2. Set up an AWS IAM user
  3. Install and initialize ASK CLI

You can find more information about the prerequisites on the Amazon Developer Documentation here.

Step 1: Create a new skill using the ASK-CLI with AWS Lambda as backend

  1. Assuming you already have the ask-cli setup (see prerequisites) , open up the terminal, and type the following -
$ ask new 

This will provide the following prompts -

  1. Select the runtime - Node.js V8 or Python3
  2. Choose hello world as the template to get started with
  3. Type in your skill name - ice-cream-soda (or a name you prefer)

This will create the skill locally on your machine.

Step 2: Deploying the skill (Interaction Model and AWS Lambda)

Type the following into the command line -

$ cd ice-cream-soda
$ ask deploy

This may take a few minutes, and if everything goes well, you will get a confirmation that Your skill is now deployed and enabled in the development stage. Try simulate your Alexa skill skill using "ask dialog" command. You can verify by logging into the Alexa developer console at Your backend code has been deployed as an AWS Lambda function using the AWS IAM user you set up in #2 of the prerequisites, which you can verify by logging into your AWS Console at

Step 3: Pushing the skill code to GitHub for collaboration

  1. Create a new repo on, say ice-cream-soda. If curl is your thing, you can also type this on the command line -
$ curl -u 'YOUR_GITHUB_USER_NAME' -d '{"name":"YOUR_NEW_REPO_NAME"}'

When you use ask new to create a new skill using one of the templates (say hello world), the git remote for the skill directory that's created for you points to If you’d like to push your skill code on GitHub, you need to remove the .git directory, which removes the remote. Let’s do that now.

2. Remove the .git directory (hidden by default) to reset the remote origin, which is by default set to

$ rm -r .git

You may get a warning asking if you’d like to override removal of .pack and .idx files. Typeyes to confirm.

You can now deploy your skill code to a GitHub repo with no problems, without breaking the ask deployprocess to deploy the skill to AWS Lambda/Developer Console.

  1. Initialize Git
$ git init
  1. Add a remoteto point to the new GitHub repo
$ git remote add origin

// example: // git remote add origin

  1. Push to GitHub
$ git add . 
$ git commit -m "first commit"
$ git push -u origin master

Option 2: Using Alexa Hosted as the backend

You can also use the Alexa Skills Kit CLI to create a skill using Alexa Hosted as the backend, instead of AWS Lambda using the create-hosted-skill( command. Support is available for Node.js only for Alexa Hosted through the CLI.

Step 1: Create a new skill using the ASK-CLI with AWS Lambda as backend

  1. Open up the terminal, and type the following -
$ ask create-hosted-skill
  1. Type in your skill name: kiwi-cream-soda
  2. Select the runtime - Node.js V8 or Python3
  3. Alexa hosted skill is created. Do you want to clone the skill project to current working directory? (Y/n)
  4. Type yes

Your skill has now been automatically deployed on the Alexa Developer Console using Alexa Hosted. For future deployments, just use ask deploy from within the skill directory.

Step 2: Pushing the repo to GitHub

When you use ask create-hosted-skill to create a new skill, the git remote is set to an AWS Code Commit service We need to add another remote, so we can push to both GitHub without breaking the AWS Code Commit service. We will do this in step by adding a new remote (Step 2 below), and then updating the Push URLs for the remotes (Step 3 below)

  1. Create a new repo on, say kiwi-cream-soda. If curl is your thing, you can also type on the command line -
$ curl -u 'YOUR_GITHUB_USER_NAME' -d '{"name":"YOUR_NEW_REPO_NAME"}'
  1. Type the following into the terminal -
$ cd kiwi-cream-soda
$ nano .git/config

Make a note of the Push URL. We will need this in the next step. This will be something like -

CTRL + X to exit the nano editor.

  1. Add a new remote
$ git remote add github

// example: // git remote add github

  1. Configure the Push URLs - for GitHub, and the original push URL for deploying the skill code to Alexa Hosted.

Set remote URL for GitHub

$ git remote set-url --add --push origin

//example: // git remote set-url –add –push origin

Set remote URL for AWS Commit Service to enable the ask deploy workflow.

$ git remote set-url --add --push origin YOUR_PUSH_URL_FROM_GIT_CONFIG_FILE_FROM_STEP_2

//example: // git remote set-url –add –push origin

  1. Verify the Push URL’s have been updated for the remote origin
[remote "origin"]
        url =
        fetch = +refs/heads/*:refs/remotes/origin/*
        pushurl =<YOUR_USER_NAME>/kiwi-cream-soda.git
        pushurl =

CTRL + X to exit the nano editor.

  1. Deploy to Alexa Hosted, and push to GitHub
$ git add .
$ git commit -m "first commit"
$ ask deploy

This will deploy the skill to Alexa Hosted, and also push to GitHub.

Updating the ASK-CLI

$ npm install -g ask-cli
$ ask -v