back_office_ops · workflow
Authoring Microsoft Fabric artifacts with natural language via MCP and Agent Skills
Creating Fabric artifacts such as DAX measures, lakehouses, and delta tables previously required deep platform knowledge, precise scripting, and sequences of manual UI interactions.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Natural language instruction
A developer describes the desired Fabric artifact in plain language without specifying syntax or steps.
Tools used
Fabric MCPFabric Agent SkillsFabric CLIGitHub CopilotVisual Studio Code
Outcome
Both Fabric MCP and Agent Skills deliver a conversational authoring experience where natural language instructions produce Fabric artifacts without platform-specific syntax or manual steps; the agent also adapts proactively to errors such as incorrect file extensions.
Results
Volumenever touch DAX syntax, don't navigate the Fabric UI, don't manually deploy or validate
Grounding & classification
Source type: technical build writeup
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agentic workflowai agentcode generationconversational aitools describedworkflow describedsoftwareemployee productivitytechnical build writeupback office opsagentic task execution