今年5月Alexa Skills Kit (ASK) SDK for Node.jsのバージョン2（以下：V2）がリリースされました。そこでV1からV2へ移行を考える方が多いと思います。先週行われたAlexa Dev Days Tokyoで沢山のAlexaスキルデベロッパーとお会いする中で、これに関連した質問をいただきましたので、ご紹介します。

Enhancements to the Alexa Skills Kit provide more accurate ways to capture slots than relying on AMAZON.LITERAL.

Announcing the new AMAZON.FallbackIntent in the Alexa Skills Kit (ASK) built-in library. You can now add the right response to your Alexa skill in all English locales to handle unexpected customer requests with AMAZON.FallbackIntent.

When your skill performs a task for the customer that requires information from them, it's a best practice to confirm you have the information you need before performing the task. Learn how to create a seamless confirmation experience with dialog management.

This resource roundup features our top blog posts on dialog management to help you build conversational Alexa skills.

This post will walk through how to accomplish dynamic slot elicitation by overriding predefined prompts and elicited slots with dialog management, using a skill that recommends products as the example.

This post will walk you through a typical yes-no scenario and how the AMAZON.YesIntent and AMAZON.NoIntent intents relate to dialog management.

When you have a natural conversation with another person, you might find the conversation can take different directions. Therefore, the context of the conversation can change quite rapidly. With dialog management, you can ensure your skill is able to handle context switching.

Learn how you can lean on dialog management to simplify collecting a set of required slots that an intent needs to perform its task for the user.

Dialog management is a great way to collect the set of required slots that your intent needs to perform a task for your customers, since it greatly reduces the necessary coding required to reprompt for missing slot values. Learn how about how you can leverage the dialog management state machine.