Quick Start

1. Create a CodeCollection repo

Go to the codecollection-template on GitHub and click Use this template → Create a new repository. Name it whatever you like (e.g. my-codecollection).

Your repo will have this structure:

my-codecollection/
├── codebundles/
│   └── hello_world/
│       └── sli.robot
├── libraries/
├── requirements.txt
└── README.md

2. Open in GitHub Codespaces

On your new repo’s GitHub page, click Code → Codespaces → Create codespace on main. This launches the codecollection-devtools container — a pre-built image with Robot Framework, the ro test runner, and all cloud CLIs ready to go.

Once the terminal is ready, bootstrap your codecollection:

task setup

This clones your repo into the container, installs Python dependencies, and sets up authoring skills as Cursor rules.

3. Run your first Skill Template

cd codecollection/codebundles/hello_world
ro sli.robot

You should see:

Sli :: This is a hello world codebundle!
Hello World                                                           | PASS |
1 task, 1 passed, 0 failed

4. View the logs

Open the Ports tab in Codespaces and click the link for port 3000. This opens the log server where HTML test reports are served.

Next steps

Development Environment — the devtools container, the ro runner, credentials, and authoring skills
Anatomy of a Skill Template — the .robot file structure
RW.Core Keyword Reference — the keyword library every Skill Template uses