# Source: https://github.com/jina-ai/jina/blob/master/docs/concepts/serving/executor/hub/create-hub-executor.md(create-hub-executor)=# CreateTo create your {class}`~jina.Executor`, run:```bashjina hub new```<script id="asciicast-T98aWaJLe0r0ul3cXGk7AzqUs" src="https://asciinema.org/a/T98aWaJLe0r0ul3cXGk7AzqUs.js" async></script>For basic configuration (advanced configuration is optional but rarely necessary), you will be asked for:- Your Executor's name- The path to the folder where it should be savedAfter running the command, a project with the following structure will be generated:```textMyExecutor/├── executor.py├── config.yml├── README.md├── requirements.txt└── Dockerfile```- `executor.py` contains your Executor's main logic.- `config.yml` is the Executor's {ref}`configuration <executor-yaml-spec>` file, where you can define `__init__` arguments using the `with` keyword. You can also define meta annotations relevant to the Executor, for getting better exposure on Executor Hub.- `requirements.txt` describes the Executor's Python dependencies.- `README.md` describes how to use your Executor.- `Dockerfile` is only generated if you choose advanced configuration.## Tips* Use `jina hub new` CLI to create an Executor  To create an Executor, always use this command and follow the instructions. This ensures the correct filestructure.* You don't need to manually write a Dockerfile  The build system automatically generates an optimized Dockerfile according to your Executor package.```{tip}In the `jina hub new` wizard you can choose from four Dockerfile templates: `cpu`, `tf-gpu`, `torch-gpu`, and `jax-gpu`.```* If you push your Executor to the [Executor Hub](https://cloud.jina.ai/executors), you don't need to bump the Jina-serve version  Hub Executors are version-agnostic. When you pull an Executor from Executor Hub, it will select the right Jina-serve version for you. You don't need to upgrade your version of Jina-serve.* Fill in metadata of your Executor correctly  Information you include under the `metas` key in `config.yml` is displayed on Executor Hub. `The specification can be found here<config.yml>`.