Welcome to the 'Smart Garden' for Alexa Skills Kit (Python)

This project enables Alexa to perform action in an indoor garden that is set with a Raspberry PI. This project provisions the Alexa skill that uses the custom interaction model, an AWS Lambda function, and an AWS CodePipeline continuous integration/continuous delivery (CI/CD) pipeline.

Pre-requisites

• You must already have created an Amazon Developer account.

What's Here

• skill.json - contains the skill manifest that provides Alexa with your skill metadata. See manifest documentation here
• interactionModels - contains interaction model files in JSON format. See interaction model documentation here.
  • en-GB.json - contains the interaction model for the en-GB locale.
• lambda - the parent folder that contains the code of all Lambda functions of this skill.
  • custom
    • lambda_function.py - contains the request handling code that will be deployed to AWS Lambda function.
    • requirements.txt - contains a list of dependencies to be installed.
• buildspec.yml - used by AWS CodeBuild to package the Lambda function code to be deployed by CodePipeline using CloudFormation.
• template.yml - the template with reference to Lambda function code to be deployed by CloudFormation.
• README.md - this file.

What Do I Do Next?

• The default invocation name of your skill is 'smart garden'.
• Test the 'smart garden' skill in the Alexa Simulator. From your AWS CodeStar project dashboard, choose the Alexa Simulator button. You can also go to the Alexa Skills Kit developer console, select your skill, and choose the Test tab. Enable testing and type or say, "ask smart garden" or "tell smart garden".
• Once the skill is enabled in the Alexa Simulator, it can also be invoked on an Alexa enabled device which is registered with your Amazon developer account.