Fabric Data Engineering | Agent Skills Atlas

About this skill

Review Microsoft Fabric data engineering artifacts — Lakehouse and OneLake design, medallion (bronze/silver/gold) architecture, Spark notebooks and Spark job definitions, Data pipelines and Dataflows Gen2, Delta/Parquet storage and OneLake shortcuts, Real-Time Intelligence (eventstreams, KQL databases, eventhouse), Direct Lake semantic-model source design, ingestion and orchestration patterns, Capacity Unit (CU) efficiency, and Git integration and deployment pipelines for engineering items. Use to fix brittle pipelines, poor medallion layering, capacity overruns, and fragile ingestion patterns. Static review only; production pipeline runs, capacity changes, and deployment-pipeline promotions are escalated.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: abaf0dd95c53b8ee8fe2bc3d3679d9514b9fe60c0ddc3843d6dc12f98b4ab33f

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Original listing metadata

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fabric-data-engineering

Original description

About this listing

Category: Data & analytics
Reported license: Apache-2.0
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.