Flask-Ask cookiecutter

This cookiecutter creates a ready-to-roll Alexa Skill skeleton based on Flask-Ask, an amazing framework by John Wheeler. Flask-Ask is quite possibly the fastest way to get started with developing Alexa Skills, and this cookiecutter only makes it faster!

What's in the box

• A Flask Python application, including handlers for session start, launch and a number of built-in AMAZON intents, such as Yes, No, and Help.
• A sample welcome intention that shows the way templating works in Flask-Ask, as well as a template.yaml template file with some examples.
• A speech_assets folder, to hold your speech assets.
• An (empty, but gitkeep'd) custom_slot_types folder to keep your list of custom slot values.
• An intent_schema.json, which you can use as your template for building up the intent schema.
• An empty sample_utterances.txt file (since the intentions currently provided for don't need utterances...).
• A requirements.txt file with all you need.
• A README.rst, explaining requirements and the setup process.

Short of a partridge in a pear tree, this contains everything you might need to get cracking with your very own Alexa skill! Read on below for directions on getting started with Flask-Ask_.

Setup

To create the scaffolded project skeleton in your project, all you need to do is

1. make sure you have cookiecutter installed (if not, go here_),
2. get cookiecutter to pull this repo and start scaffolding by entering the following command into your shell of choice: cookiecutter gh:chrisvoncsefalvay/cookiecutter-flask-ask , and
3. follow the instructions in the README.rst file in your brand new repo!

That's all!

Contribute

Contributions are welcome! I'm also on the Flask-Ask Gitter_ a lot, so you are welcome to let me know just what I could do to make this an even better tool for Alexa developers!

.. _here: https://github.com/audreyr/cookiecutter .. _John Wheeler: https://alexatutorial.com .. _Flask-Ask: https://alexatutorial.com/flask-ask .. _Flask-Ask Gitter: https://gitter.im/johnwheeler/flask-ask/