This GitHub template repository can be used to create a new repository with the skeleton of a Datasette plugin, based on the datasette-plugin cookiecutter.

Start here: https://github.com/simonw/datasette-plugin-template-repository/generate

Call your new repository datasette-something - where the `something' describes your new plugin. You can use additional hyphens - examples of valid plugin repository names include:

• datasette-places-on-a-map
• datasette-emoji

Add a one-line description of your repository, then click "Create repository from template".

Once created, your new repository will execute a GitHub Actions workflow that uses cookiecutter to rewrite the repository to the desired state. This make take 30 seconds or so.

You can see an example of a repository generated using this template here:

• https://github.com/simonw/datasette-plugin-template-repository-demo

The test.yml GitHub Actions workflow will run your tests automatically any time you push a change to the repo.

The publish.yml Action runs when you create a new GitHub release. It will build and upload your package to PyPI.

For this to work, you need to create an environment in your GitHub repository called release. You then need to configure PyPI with a new "pending publisher" with the following settings:

• PyPI Project Name: datasette-name-of-your-plugin
• Owner: Your GitHub username or organization
• Repository name: The name of your repository
• Workflow name: publish.yml
• Environment name: release

See Publish releases to PyPI from GitHub Actions without a password or token for details.