Explore Workspace Projects
Navigate teams and workspaces to find projects.
/oo Supervisely: List Supervisely teams, select [team name], list its workspaces, then summarize projects in [workspace name].
Ask your AI assistant to work with Supervisely: inspect dataset and project structure.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Navigate teams and workspaces to find projects.
/oo Supervisely: List Supervisely teams, select [team name], list its workspaces, then summarize projects in [workspace name].
Read a project and its dataset records.
/oo Supervisely: Get Supervisely project [project ID], list its datasets, and read the dataset matching [name] to summarize returned metadata.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect using your Supervisely API Token.
Connect Supervisely →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Supervisely connects team, workspace, project, and dataset metadata to AI for dataset organization reviews.
Navigate teams and workspaces to find projects.
Read a project and its dataset records.
Get the Supervisely user associated with the configured API token.
supervisely.get_current_user List Supervisely teams accessible to the configured API token.
supervisely.list_teams List Supervisely workspaces for a team.
supervisely.list_workspaces List Supervisely projects for a workspace.
supervisely.list_projects Get a Supervisely project by ID.
supervisely.get_project List Supervisely datasets for a project.
supervisely.list_datasets Get a Supervisely dataset by ID.
supervisely.get_dataset No matching tools.
These actions expose project and dataset records, not an image export workflow.
The current actions are read operations for organizational context.
List datasets for a project and use a returned ID for detail retrieval.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.