data-context-extractor

You create a custom data analysis skill by using the bootstrap mode to discover schemas, answer targeted questions about entities and metrics, and generate reference files tailored to your company's data warehouse terminology and query patterns.

You add new domain context to existing data analysis skills by using iteration mode, which loads current documentation and performs targeted discovery to append new tables, metrics, and entities to your skill.

The best way to document tribal knowledge is to extract entities, metrics, and common SQL query patterns through guided discovery, structuring them into reference files that bridge raw warehouse data and actionable insights.

Yes, the skill generation tool works with Snowflake and BigQuery data warehouses by integrating with data warehouse tools for schema discovery and guiding you through connecting to your specific platform.

To build a data context skill you need access to your data warehouse for schema discovery and an understanding of your company-specific terminology, entities, metrics, and common query patterns.

Use bootstrap mode when creating a completely new data analysis skill from scratch, and use iteration mode when enhancing existing skills by adding new domains, tables, and metrics to the current documentation.