Semantic Model Consumption
Execute raw DAX queries and inspect metadata of Microsoft Fabric Power BI semantic models via the MCP server ExecuteQuery tool. Use when the user already knows the DAX to write, wants to run EVALUATE statements, or needs to inspect model metadata (tables, columns, measures, relationships, hierarchies) using INFO functions. For natural-language business questions (where you generate the DAX), use `fabriciq`. For creating, deploying, or managing semantic model definitions, use `semantic-model-authoring`. Triggers: "run DAX query", "execute EVALUATE", "semantic model metadata", "list semantic model tables", "INFO.VIEW.TABLES", "get measure expression", "DAX against", "query the model".
30-Second Summary
Semantic Model Consumption is an agent-readable workflow from microsoft/skills-for-fabric for semantic model consumption.
It gives the agent a trigger, ordered guidance, and source-backed checks instead of treating semantic model consumption as a generic tool.
Use it as a brief only while the linked SKILL.md remains available and the risk boundary is still accurate.
1-Minute Read
What it is
Semantic Model Consumption packages instructions from microsoft/skills-for-fabric into a reusable agent skill brief. The original source is a public SKILL.md file, so the brief can point readers back to the executable workflow instead of a product landing page.
When to use it
Use it when a user asks for help around semantic model consumption and the agent needs a repeatable workflow, checklist, or review path rather than broad background information.
How to test it first
Open the linked SKILL.md, confirm the trigger and procedure still match semantic model consumption, list the risk boundary, then ask the agent to apply the smallest read-only step to a sample task.
Watch out
Do not present this as a generic app or platform. Keep the scope tied to microsoft/skills-for-fabric. Risk boundary: CI/CD, deploy, release, rollback, and migration steps must start with read-only inspection and an approval gate; database, Fabric workspace, notebook, lakehouse, warehouse, or Power BI changes need credential and production-data approval; cloud resources, RBAC, credentials, tokens, and private keys must not be changed or exposed without a separate approval; Microsoft Fabric-specific workflow; do not describe it as a generic data engineering skill.