Get Started with the ASK Toolkit for Visual Studio Code The ASK toolkit is an extension for that makes it easier for you to develop and deploy Alexa skills. It provides features like code snippet generation, JSON schema validation, and discoverability of features via the. The ASK toolkit uses the. Commands initiated from within the toolkit call the appropriate ASK CLI commands. Best tools for S3: Amazon Web Service(AWS). AWS toolkit for visual studio which. Browser for Mac and Windows. It just requires your AWS credentials and you can. Music studio free download - Storm Music Studio, WireTap Studio, DAZ Studio, and many more programs. Music studio app for mac free. Storm Music Studio is music creation software, which accurately emulates the universe of a real recording studio: synthesizers, drum machines, sample players. In VS Code, the shows the CLI command being called, the output from executing the command, and prompts for user input. Send us your feedback To provide feedback and suggestions from within the toolkit, on the VS Code status bar, click Contact Alexa. • • • • • • • • • • • • • Setup Prerequisites • To use the Alexa templates, and install it. • Download (recommend version 1.22.0 or higher) and install it. • Download and configure ASK CLI (recommend version 1.5.0 or higher). For more information,. • (Optional and recommended) Use AWS Lambda to host the backend business logic for your skill. Install the ASK toolkit in VS Code Use one of the following options to install the ASK toolkit. • Install the toolkit by visiting the. • In VS Code, from the View menu, select Extensions to open the Extensions view. In the search box, type Alexa Skills Kit (ASK) toolkit. After you install the toolkit, click Reload. In some cases, you might also need to restart VS Code. ![]() For more information about VS Code extensions, see the. Quick start Step 1: Create a new skill or clone an existing skill Get started by creating a new skill or cloning an existing skill. Note: To create files and folders for your skill project, VS Code requires that a workspace folder is open. To learn about VS Code workspaces, see the. • To open the Command Palette, from the View menu, select Command Palette. Alternatively, on Windows and Linux, use Ctrl+Shift+P, and on a Mac use Shift+Command+P. • To see the available commands in the ASK toolkit, in the text box, type ASK. • To create a new skill from a template, select ASK: Create a skill from a template, and then choose your preferred runtime language followed by a template from the list. – Or – To clone an existing skill, select ASK: Clone a skill. The VS Code integrated terminal shows a list of skills that you can clone. Depending on the skill you created or cloned, the ASK Toolkit creates the following folder structure. •.ask folder, which contains the config file for your skill. • models folder, which contains JSON files describing the. • lambda folder, which is optional and contains the business logic of your skill. For more information, see. • skill.json, which is the. • hooks folder, which contains the. Step 2: Add a code snippet The toolkit provides code snippet generation for frequently used skill components. In your model file, for example model/en-US.json, type askModel to show all built-in intents. ![]() Select an intent and then press the TAB key to generate the code snippet. To create a blank custom intent, type askModel and then select askModelCustomIntent. To insert a snippet for an intent handler based on the or, type askSDK in the JavaScript (.js) or Python (.py) file that contains your business logic code. Step 3: Deploy the skill. Visual studio for mac vs mono. Note: Deploying to AWS Lambda only works when you configure your AWS credentials with ASK CLI. For more information, see. You can choose to deploy your entire skill package or parts of your skill. At the Command Palette, see the options by typing ASK: Deploy. To deploy a specific resource, in the explorer tree view, right-click on the resource. For example, if you right-click the skill.json file, there is an option to Deploy the skill manifest. If you right-click on the lambda folder, there is an option to Deploy to AWS Lambda. Alternatively, you can use the Deploy button on the status bar to deploy a specific resource or entire skill, depending on the settings for the extension. For more information about settings, see. Step 4: Test the skill After you deploy your skill, you can start testing it on your Alexa-enabled device. You can also use the, which is in the developer console on the Test page.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |