Hello guys, welcome to the 36th session of create custom Alexa skill using AWS lambda function to do this for beginners. In this session we will see some best practice to follow and creating new skills. Now I have added all handlers in the same file that is index.js however, we can also create an independent module for just headers. When you have made changes in all the lambda function, then you can update our lambda function to reduce deploy time and level permissions for address list or Amazon pay when you are really using it. When you are deploying skills from local environment, then you need to maintain all of the changes made in interaction model, permissions interfaces or other changes to your development environment to for these you can use ask float command to clone your existing scheme. For the indenting I have used string, but you can also create a model containing a constant value for all of the intents of this will make easy to update and maintain.

If your skill is available for multiple countries, then add multiple languages in your ski use it next for generating multi language response. Here I have not used Blueprint by creating lambda functions, but Amazon has added several blueprints in lambda function for Alexa. So you can use those to speed up your development. In Alexa scale console, I have used custom scale in flesh Griffin, but it contains some other predefined models. So we can use them like the predefined model, it also includes predefined intents, we have seen yes and no intense and here I have used Alex called SDK. at time of you watching this might be a new version of SDK right?

So always try to use the latest version of SDK. Put logs where it requires and check them on regular basis for any suspicious entry. Thanks for watching this video. If you have any doubt, please feel free to contact me Have a nice day.