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Tilebox skills are task-level instructions for AI agents. They explain how to use the Tilebox CLI, which command patterns to prefer, and how to approach common workflows such as dataset management and job monitoring.

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Install Tilebox skills and the CLI

Many skill operations require the Tilebox CLI, which is why it’s recommended to use our installation wizard that sets up both Skills and the CLI on your system.
If you want to customize the skill installation directory, or select just a subset of the skills to install, you can use

Tilebox skills on GitHub

Browse the source repository for the Tilebox agent skills.
After installation, your agent can load the relevant skill before working on a Tilebox task.

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Included skills

Tilebox skills cover common agent workflows around the CLI, datasets, workflows, jobs, and automations.

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How to use skills with agents

Ask your agent to load the most specific Tilebox skill for the task. For example, use managing-tilebox-datasets for schema work and managing-tilebox-jobs for workflow execution or observability tasks. Skills work best with the Tilebox CLI. The CLI gives the agent repeatable terminal commands, and skills tell it how to combine those commands safely. Use MCP as an alternative when the agent runs in a web or chat environment without practical terminal access. For Python workflow release work, ask the agent to use both writing-tilebox-workflows and releasing-tilebox-workflows. For a new project, the typical loop starts with tilebox workflow init. After that, the agent edits tasks, builds a release, publishes it, deploys it to a development cluster, runs tilebox runner start, submits a test job, and inspects logs or spans before iterating.