Move note on how to contribute to the main page (#155)
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README.md
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QSkinny
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# QSkinny
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-------
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The (Q)Skinny library is a framework built on top of the Qt scene graph
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The (Q)Skinny library is a framework built on top of the Qt scene graph
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and very few core classes from Qt/Quick. It offers a set of lightweight controls,
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and very few core classes from Qt/Quick. It offers a set of lightweight controls,
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direction - please contact support@qskinny.org.
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direction - please contact support@qskinny.org.
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![IOT dashboard](/doc/images/iotdashboard.png)
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![IOT dashboard](/doc/images/iotdashboard.png)
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# Contributing to QSkinny
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For now QSkinny is licensed under LGPL v2.1. In the future, We want to have the
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possibility to transfer the QSkinny code to a **more permissive license**, i.e.
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any of the following or similar licenses: BSD "Simplified" License, BSD
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"Revised" License or MIT license.
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If you are fine with these terms, you are welcome to contribute to QSkinny by
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completing the following steps:
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1. Agree to the terms of the [Contributor Agreement](https://gist.github.com/peter-ha/74fead3d2b5efd4f90db4604d89f49a1).
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You can create a pull request first, then the licensing bot will check
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automatically whether you already signed the Agreement or not. If you have not
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signed it yet, it will take you to the Agreement to agree.
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1. Submit your pull request for review.
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# Contributing to QSkinny
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We want to have the possibility to transfer the QSkinny code to a **more
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permissive license** in the future, i.e. any of the following: BSD "Simplified"
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License, BSD "Revised" License, MIT license.
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If you are fine with this, you are welcome to contribute to QSkinny by
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completing the following steps:
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1. Agree to the terms of the Fiduciary License Agreement (FLA).
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You can create a pull request first, then the licensing bot will check
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automatically whether you already signed the FLA or not. If you have not
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signed the agreement yet, it will leave a comment on the pull request on how
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to proceed.
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The agreement for contributions is similar to the one that other projects use
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(e.g. KDE e.V.). For more information, see
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https://fsfe.org/activities/fla/fiduciary.en.html
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1. Submit your pull request for review.
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