An Alexa custom skill for the Amazon Echo.
npm install create-custom-skillCreate Alexa Custom Skills.
``
npx create-custom-skill my-skill
// or npm init custom-skill my-skill
cd my-skill
sls deploy
Using the serverless-smapi plugin, the following commands are available.
alexa model build ............. Build local interaction model from model described in yml files.alexa model list .............. List your Alexa modelalexa model update ............ Update your Alexa modelalexa skill ................... List your Alexa skillsalexa skill create ............ Create your Alexa skillalexa skill delete ............ Delete your Alexa skillalexa skill list .............. List your Alexa skillalexa skill update ............ Update your Alexa skill
Sure. The project is compatible with ASK CLI.
You can do that by editing the profile value in serverless.yml file or during project scaffold using npm init custom-skill -p
Good. If you are using Visual Studio code, you can just open debug tab and start the debug configuration debug with bst proxy. See bst proxy for details.
You can also start debug session with npm start debug which will run sls alexa skill update -d (update the skill manifest with debug configuration - see debugSkillManifest in serverless.yml file). Now you need to start a local lambda service, which you can do by running sls offline start -l .webpack/service/src.
Of course. Use intents.yml file to _describe_ the grammar for the sample utterances. Use types.yml to list the types you want to use.
Example:
(recipe|receipes) for (|a|an) {Item} will expand to:
`
recipe for {Item}
receipes for {Item}
recipe for a {Item}
receipes for a {Item}
recipe for an {Item}
receipes for an {Item}
Just pass the skip option
sls deploy --skip model
Just pass _always yes to deploy_
sls deploy -y`
yes. Serverless allows you to define a variable in many ways.