In this technical post, I build upon the coffee shop skill and share how you can simplify dialog management with the new slot validations feature.

In this technical post, I build upon the coffee shop skill that I introduced in the blog about how to dynamically elicit slots based on a previous answer using dialog management.

I'm often asked, "Is there away to change the slot and the question that Alexa prompts the user for next based on the previous answer?" The answer is yes! Learn more about how dialog management simplifies creating a multi-turn conversational skill.

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.