What problem does it solve? Analysts and engineers often need to understand what data exists in an Omni semantic model before querying or modifying it, but manually digging through model YAML and API responses is slow and error-prone. This Skill provides a structured, top-down workflow for discovering models, topics, views, fields, and join relationships through the Omni CLI. ## Core Features & Use Cases - Top-Down Model Discovery: List models, identify the SHARED model, enumerate topics, and inspect views, dimensions, measures, and relationships with omni models commands. - Field Impact Analysis: Create a model branch with a field removed, run the content validator, and search model YAML to produce a full blast-radius report before pushing dbt changes. - AI Context Inspection: Read the actual ai_context, sample_queries, and ai_fields configured on a topic to understand what Omni's AI assistant knows about the data. - Use Case: Before removing the sale_price field, use this Skill to create a branch without the field, run the content validator to find broken dashboards, and search YAML for dependent measures and joins. ## Quick Start Ask the agent to show what data is available to query in Omni, including an overview of topics and their fields.
