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fibr

v1.2.0

Published

An application that lets you save and load your custom boilerplates.

Downloads

19

Readme

Fibr

A handy cli application that lets you save your custom boilerplates for use later on.

Install

you can install Fibr using npm, node's default package manager.

npm i -g fibr

Usage

As a cli tool:

$ Fibr -h

  Usage: index [options] [command]

  Options:

    -v, --version                     output the version number
    -h, --help                        output usage information

  Commands:

    list                              list all the currently stored boilerplates
    save [options] [dir]              store a project as a boilerplate
    new|load [options] <boilerplate>  load existing boilerplate into project
    update [options] <title>          update a stored boilerplate
    remove|rm <title>                 delete a stored boilerplate

  Options:
    fibr save [options]:
      -t, --title: specifiy what to name your boilerplate.
                defaults to project folder name.
    fibr new|load [options]:
      -d, --dir: specifiy what folder to load boilerplate into.
                defaults to current working directory.
    fibr update [options]:
      -d, --dir: specifiy the folder that has the updated boilerplate code.
                defaults to current working directory.

  Examples:
    $ fibr list
    $ fibr save ./ --title html5_boilerplate
    $ fibr new html5_boilerplate --dir ./
    $ fibr update html5_boilerplate --dir ./
    $ fibr remove html5_boilerplate

How It Works

Fibr saves all the boilerplates to a hidden folder:

%USER_HOME_DIR%/.boilerplates/

Note: It is advised that you do not change the contents of the folder manually, and that you use the Fibr cli tool to save/load/update/delete boilerplates.

Meet the Author

Fibr was created by Yash Patel. Yash is currently 15 years old, and he is a high school student. He loves programming, and knows many languages, such as HTML/CSS/JS, Python, and Java. He is currently pursuing a career in the field of AI and Machine Learning.

Licence

MIT