Voice Monkey is a free Skill that allows you to trigger Alexa Routines from external sources such as IFTTT. It also allows you to make dynamic and custom Text to Speech announcements over your Amazon Echo or other Alexa smart speaker.
This action will display an image on your device with a screen e.g. Echo Show. See docs here
Create a HTML or a plain text email template. See the docs
This action will display a video on your device with a screen e.g. Echo Show. See docs here
This action will make an annoucement on your device using the text you supply. See docs here
The Voice Monkey API provides a bridge between Alexa and Pipedream, enabling you to send custom announcements, notifications, or commands to your Alexa devices. With this API, you can trigger Alexa to speak a custom message or execute routines, leveraging the power of voice interaction in your automated workflows. It's particularly useful for smart home enthusiasts, productivity hackers, and businesses looking to integrate voice notifications into their services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
voice_monkey: {
type: "app",
app: "voice_monkey",
}
},
async run({steps, $}) {
const data = {
"access_token": `${this.voice_monkey.$auth.access_token}`,
"secret_token": `${this.voice_monkey.$auth.secret_token}`,
"monkey": `pipedream-monkey-1`,
}
return await axios($, {
method: "post",
url: `https://api.voicemonkey.io/trigger`,
data,
})
},
})
Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.
module.exports = defineComponent({
props: {
amazon_ses: {
type: "app",
app: "amazon_ses",
}
},
async run({steps, $}) {
const AWS = require("aws-sdk")
const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
const ses = new AWS.SES({
accessKeyId,
secretAccessKey,
region: 'us-east-1',
})
const sesParams = {
Destination: {
ToAddresses: ["<your email here>"],
},
Message: {
Body: {
Html: {
Charset: "UTF-8",
Data: "<h1>This is a test</h1>",
},
Text: {
Charset: "UTF-8",
Data: "This is a test",
}
},
Subject: {
Charset: "UTF-8",
Data: "Test email",
}
},
Source: "<your from address here",
};
this.resp = await ses.sendEmail(sesParams).promise()
},
})