MIT License

项目介绍

acucciniello/alexa-skill-boilerplate 是一个托管在 GitHub 上的开源项目,主要使用 JavaScript 编写,采用 MIT License 许可证,目前获得 52 个 Star、9 次 Fork。

仓库全名
acucciniello/alexa-skill-boilerplate
开源许可证
MIT License
Star 数
52
Fork 数
9
未关闭 Issue
1

README 摘要

An easy to use Amazon Alexa Skill Boilerplate for fast skill creation For In-Depth Explanation on how to use this check out my blog post Requirements Node v8.0.0 Yarn v0.24.6 Getting Started 1. Clone the repository: 2. Install all packages: 3. Start Adding Intents to your skill by editing app.js. Testing This uses mocha for a testing framework, chai for an assertion library, and bespoken-tools to mock Alexa behavior…

完整内容见 GitHub 原始 README 或本页 。

常见问题

alexa-skill-boilerplate 用什么语言开发?

主要使用 JavaScript 编写,采用 MIT License 许可证,目前有 52 个 Star。

alexa-skill-boilerplate 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 alexa-skill-boilerplate 的源码?

可以直接克隆仓库:git clone https://github.com/acucciniello/alexa-skill-boilerplate.git;安装与运行步骤见仓库 README。

alexa-skill-boilerplate 最近还在维护吗?

仓库最近一次更新为 2017年10月27日,当前有 1 个未关闭 Issue;Star 数为 52,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

An easy to use Amazon Alexa Skill Boilerplate for fast skill creation

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

语言占比

JavaScript

README

alexa-skill-boilerplate Standard - JavaScript Style Guide Build Status

An easy to use Amazon Alexa Skill Boilerplate for fast skill creation

For In-Depth Explanation on how to use this check out my blog post

Requirements

Node v8.0.0

Yarn v0.24.6

Getting Started

  1. Clone the repository:
$ git clone https://github.com/acucciniello/alexa-skill-boilerplate.git
  1. Install all packages:
$ yarn
  1. Start Adding Intents to your skill by editing app.js.

Testing

This uses mocha for a testing framework, chai for an assertion library, and bespoken-tools to mock Alexa behavior

$ yarn test

Deployment

This command will deploy it to lambda given you have sent up your environment for Claudia usage.

In order to have this properly set up:

  1. Create a folder in your user’s home directory on your computer
$ mkdir ~/.aws && cd ~/.aws
  1. Create a file called credentials
$ touch credentials
  1. Edit that file to have your AWS Credentials
[claudia]
aws_access_key_id = ACCESS_KEY_ID_FROM_AWS_PAGE
aws_secret_access_key = SECRET_KEY_FROM_AWS_PAGE
  1. Deploy to Lambda
$ yarn deploy

Once deployed, you can update your lambda function with:

$ yarn upload

License

MIT

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