data-context-extractor

Capture company-specific data knowledge from analysts by collecting schemas, terminology, and metrics definitions to generate domain templates and reference files for documentation.

The best way to document metrics definitions is to capture them from analysts, creating reference files and SKILL.md documents that structure terminology and common query patterns.

Bootstrap a new data context skill by connecting to your data warehouse, discovering key schemas, and extracting terminology to generate SKILL.md and reference files.

Yes, iteration mode augments existing data context skills by adding domain-specific references and metrics definitions, expanding the current knowledge base.

Analyst input is required to capture company-specific data knowledge, ensuring schemas, terminology, and metrics definitions accurately reflect the domain for template generation.

The process generates SKILL.md files, reference files, and domain templates ready for packaging, satisfying documentation requirements and creating a navigable knowledge base.