What problem does it solve?
Workflow pipelines often need files stored in a Dataspace as their starting input, but manually downloading and staging those files before running a DAG is repetitive and error-prone. This Skill acts as the entry node of a pipeline, fetching a single file from a Dataspace data source instance and exposing it as a local output for downstream operators.
Core Features & Use Cases
- Dataspace File Download: Retrieves a file from a Dataspace data source instance using its datasource ID and in-space file path.
- DAG Start Node: Runs with no upstream input, making it the designated starting operator of a workflow graph.
- Downstream Output Slot: Writes the downloaded file to a local path and exposes it as an
output reference for subsequent operators.
- Use Case: A research data pipeline needs a CSV dataset hosted in a Dataspace. Use this Skill as the first node to download the file locally, then feed it into downstream cleaning, transformation, or analysis operators.
Quick Start
Ask the agent to download a file from a Dataspace data source by providing the datasource ID, the file path inside the space, and a local output path as the first node of the workflow.