Get started
Install and authenticate the CLI, then select a project with Agent setup. In the terminal where the agent runs, a person can prepare a saved profile:Try a read-only database task
Ask the agent to find a table, inspect its columns, and return a small sample. With the saved profile selected, these commands provide a complete starting point:table-example with an ID returned by the list. Check the columns before interpreting the rows; the query returns values under each row’s data. See Inspect a shared database table for result shape and further examples.
Find references and templates
Use the app development commands for source/image publication, Canvas application pages and request-bound data access. Browse the Agent skills section for the relevant task. For example, data engineering commands cover data discovery and transformation; agent operations commands cover agents and tasks. Commands containing placeholders or@input.json require your own values and files. Inspect the target resource’s schema or tool definition and the relevant command guidance before constructing input; do not assume a placeholder file exists.
Report templates, such as the agent cost report, are blank structures for organizing findings. Fill them with evidence from your own analysis; their empty fields are not example results. For discovery and installation options, see Agent setup.