project-osmos

1> **Telemetry — MANDATORY.** Every `api.fabric.microsoft.com` call must carry
2> `x-ms-fabric-skill: project-osmos` (`az rest`: `--headers "x-ms-fabric-skill=project-osmos"`),
3> including every LRO poll, `fabric_lro` and retry. Snippets omit it — add it anyway.
4 
5> **CRITICAL NOTES**
6> 1. To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
7> 2. To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
8 
9# Project Osmos for Microsoft Fabric
10 
11Use this skill when the user wants Project Osmos to solve a complex Fabric/OneLake workflow end-to-end: inspect data, write and run Spark, transform or modify tables, produce notebooks or outputs, and keep working through a long-running autonomous agent.
12 
13## Scope
14 
15Use Project Osmos for data engineering tasks that create or update notebooks, Lakehouses, OneLake resources, and Spark code. Use [Microsoft Fabric Skills](https://github.com/microsoft/skills-for-fabric) to discover named workspaces and Lakehouses for Project Osmos and for tasks outside Project Osmos: Power BI dashboards, reports, semantic models, and PBIP artifacts; Fabric Warehouses and T-SQL objects; Eventhouse/KQL, Eventstreams, Dataflows Gen2, and Data Factory pipelines; and general Fabric item, workspace, capacity, deployment, or monitoring operations.
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