data-discovery

What problem does it solve?

The Data Discovery skill helps the runtime collect warehouse facts and interpret them into a DataContextBundle for downstream planning.

Core Features & Use Cases

• Probes the environment to gather warehouse facts such as visible tables, header information, sample rows, and current warehouse load status.
• Maps raw findings into the shared DataContextBundle fields (environment_scan, schema_map, metric_mapping, time_fields, dimension_fields, supported_dimension_capabilities, joinability, comparison_feasibility, warehouse_load_status, etc.).
• Produces discovery-time risk signals via report_conflict_hint when critical ambiguities are detected and ensures the data is used strictly for discovery, not for claim validation or decision-making.

Quick Start

Run a discovery session to produce a DataContextBundle from the current warehouse environment.