In GitHub, on the page for this repository, select Use this template -> Create a new repository and fill out your desired repository name, location, and privacy settings

After creating your new repository, click on your account icon in github and navigate to Settings.  Then from settings, navigate to the Developer settings option at the bottom. Then select Personal access tokens -> Fine-grained token and generate a new Token.

For the token settings, you may set the expiration date to the minimum option as you will only need this token once. Set Repository access to only select repositories and select the repository you just created. Under permissions for token, set both, Contents and Workflows to read and write, and make sure Metadata is set to read-only. Then click generate token and copy it to your clipboard.

Now return to the repository you created and navigate to Settings -> Security -> Secrets and variables -> Actions then click the New repository secret button. Set the secret name to PAT_TOKEN and paste in the token you generated to the box labeled Secret. Then add the secret.

Now clone the repo and navigate to .github/workflows/REPLACE_TEMPLATE_VARIABLES.yml in your local environment.

In this file replace all instances of YOUR_COMPONENT_ID, YOUR_COMPONENT_PREFIX, and YOUR_COMPONENT_NAME with your desired component id, component prefix and component name respectively. Your component id should only include alphanumeric characters and dashes/underscores. Your prefix should only include alphanumeric characters and underscores.

After filling in your desired values, push the change to your repository to fill in all template variables. The token you generated will no longer be needed.

Next, run npm i to install all dependencies

Run npm run create:ai-component --component-name <YOUR-COMPONENT-NAME> (Note: Your component name should match the component ID in the master components collection)

This command will generate a boilerplate code for your component handler library. Your components handler library must have 2 methods - initializeArtifacts and run. The initializeArtifacts is used for initializing the model artifacts and run will execute the models. (You can refer the AnomalyDetection component for implementation details.)