fabric-data-agentlisted

Create, configure, and manage Microsoft Fabric Data Agents that enable natural language Q&A over lakehouses, warehouses, Power BI semantic models, KQL databases, and ontologies. Use when asked to build data agents, configure NL2SQL/NL2DAX/NL2KQL experiences, write agent instructions, create example queries, automate data agent provisioning via REST API or PowerShell, integrate Fabric data agents with Azure AI Foundry, or troubleshoot data agent configuration issues.
PatrickGallucci/fabric-skills · ★ 13 · AI & Automation · score 81

Install: claude install-skill PatrickGallucci/fabric-skills

# Microsoft Fabric Data Agents Build conversational AI experiences that let users ask questions in plain English against structured data in Microsoft Fabric. Fabric Data Agents translate natural language into SQL, DAX, or KQL queries, execute them securely under the caller's identity, and return data-driven answers. ## When to Use This Skill - Creating a new Fabric Data Agent from the portal or via REST API - Configuring data sources (Lakehouse, Warehouse, Power BI Semantic Model, KQL Database, Ontology) - Writing effective agent-level or data-source-level instructions - Authoring example queries (few-shot examples) to improve NL2SQL/NL2DAX/NL2KQL accuracy - Automating data agent provisioning with PowerShell and the Fabric REST API - Integrating a published Fabric Data Agent with Azure AI Foundry agents - Managing the Operations Agent definition (Configurations.json) programmatically - Publishing, sharing, and versioning data agents - remediate query generation, data source permissions, or tenant settings ## Prerequisites | Requirement | Details | | ------------------------------ | -------------------------------------------------------------------------------------------- | | Fabric capacity | Paid F2+ SKU, or Power BI Premium P1+ with Fabric enabled | | Tenant settings | Fabric data agent, Cross-geo pro