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entity-creation

Guides you through defining a new Honeydew entity from a data warehouse source — covering source type, granularity key, and initial attribute mapping — then pushes to Honeydew via the MCP tools.

plugins/honeydew-ai/honeydew-ai-coding-agents-plugins/skills/entity-creation/SKILL.md

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## Prerequisites

Before creating entities, ensure you are on the correct workspace and branch. Use `get_session_workspace_and_branch` to check the current session context. For development work, create a branch with `create_workspace_branch` (the session switches automatically). See the `model-exploration` skill for the full workspace/branch tool reference.

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## Overview

A Honeydew **entity** is the foundational modeling object — a named, governed representation of a business concept at a specific granularity. Every metric and calculated attribute is anchored to an entity. An entity maps to a data warehouse (Snowflake, Databricks, or BigQuery) table, view, custom SQL query, or a virtual derivation from the semantic model.

When creating an entity you are answering three questions:

1. **What is this?** — the business concept (orders, customers, products, locations)
2. **What makes a row unique?** — the granularity key (primary key column(s))