Create Data Context

This skill creates and maintains semantic-layer skills for Data Analytics. A semantic-layer skill is an explicit artifact the user can inspect and cite later. It captures how future analyses should interpret the data, for example which metric definition is canonical, which dashboard or table is the best source of truth, and what caveats should be checked before answering.

Data-task routing is owned by the Data Analytics index skill. If the user wants Data Analytics to do work with data now, route to index, whether the work starts from connected sources, uploaded files, pasted tables, sample data, or an existing semantic layer. Examples include answering a metric question, building a report, or checking a dataset.

Use this skill only when the user asks to save data context or create, update, inspect, or repair a semantic layer.

Runtime Routing

Use the current runtime's classified surface and mode values, plus the capabilities exposed in the run, to choose intake and persistence. Build and validate the same canonical semantic-layer skill package before writing it to any destination.

For intake:

• Use structured intake when a supported form action is available.
• Use conversational intake for open-ended details and for runtimes without a supported form action.

Choose one persistence destination by default: