patrickgallucci/fabric-skills
25 skills
$npx skills add patrickgallucci/fabric-skillsSkillInstalls
fabric-data-agentCreate, 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 builfabric-data-agent-perf-remediateDiagnose and resolve Microsoft Fabric Data Agent performance issues including slow query generation, capacity throttling (HTTP 430), Spark session startup delays, KQL/SQL/DAX query timeouts, data sourfabric-data-agent-remediateDiagnose and resolve Microsoft Fabric Data Agent issues including tenant settings, data source configuration, query generation failures, cross-region capacity errors, XMLA endpoint setup, Power BI semfabric-data-factory-perf-remediateDiagnose and resolve Microsoft Fabric Data Factory pipeline performance issues. Use when pipelines are slow, copy activities timeout, dataflows stall, activities are stuck, throughput is low, capacityfabric-dataflows-perf-remediateDiagnose and resolve Microsoft Fabric Dataflow Gen2 performance issues including slow refresh times, Fast Copy optimization, query folding failures, staging bottlenecks, gateway latency, incremental rfabric-delta-spark-perfTroubleshoot and optimize Delta Lake and Apache Spark performance in Microsoft Fabric. Use when diagnosing slow Spark jobs, small file problems, data skew, shuffle bottlenecks, out-of-memory errors, Vfabric-iqGuide for working with Microsoft Fabric IQ (preview), the semantic intelligence workload for unified data and business vocabulary. Use when creating or managing ontology items, defining entity types, fabric-lakehouse-access-controlTroubleshoot Microsoft Fabric Lakehouse access control issues including OneLake security roles, SQL analytics endpoint permissions, workspace roles, data access roles, row-level security (RLS), columnfabric-lakehouse-perf-remediateDiagnose and resolve Microsoft Fabric Lakehouse performance issues including slow Spark queries, small file problems, Delta table fragmentation, V-Order configuration, table maintenance (OPTIMIZE, VACfabric-lakehouse-views-perf-remediateTroubleshoot Microsoft Fabric materialized lake views (MLV) performance issues including slow refresh, incremental refresh failures, full refresh fallback, Spark job failures, lineage execution errorsfabric-network-remediateDiagnose and resolve Microsoft Fabric network performance issues including connectivity failures, latency, private endpoints, managed VNets, outbound access protection, gateway diagnostics, OneLake enfabric-notebook-perf-remediateDiagnose and resolve performance issues in Microsoft Fabric notebooks running Apache Spark. Use when notebooks are slow, Spark jobs are timing out, sessions hit HTTP 430 throttling errors, data skew cfabric-onelake-perf-remediateDiagnose and resolve Microsoft Fabric OneLake performance issues including slow queries, cold cache latency, small file problems, Delta table fragmentation, V-Order optimization, Spark throttling, capfabric-pandas-perf-remediateTroubleshoot and optimize pandas performance in Microsoft Fabric Spark notebooks. Use when diagnosing slow pandas operations, toPandas() out-of-memory errors, pandas API on Spark (pyspark.pandas) bottfabric-pbi-perf-remediateDiagnose and resolve Power BI performance issues in Microsoft Fabric. Use when reports load slowly, DAX queries are inefficient, semantic models need optimization, DirectQuery is underperforming, capafabric-pbi-security-remediateDiagnose and resolve Microsoft Fabric Power BI security issues including row-level security (RLS), object-level security (OLS), column-level security (CLS), workspace permissions, sensitivity labels, fabric-performance-monitoringMonitor and optimize Microsoft Fabric capacity, Spark compute, and workload performance. Use when asked to check capacity utilization, diagnose throttling (HTTP 430), monitor Spark VCore consumption, fabric-pyspark-perf-remediateDiagnose and resolve Apache Spark performance issues in Microsoft Fabric notebooks and Spark Job Definitions. Use when PySpark jobs are slow, notebooks take too long, Spark stages are skewed, shufflesfabric-rest-api-perf-remediateDiagnose and resolve Microsoft Fabric REST API performance issues including HTTP 429 throttling, long running operation (LRO) timeouts, pagination bottlenecks, and slow API response times. Use when refabric-rest-api-remediateDiagnose and resolve Microsoft Fabric REST API errors including HTTP 401 Unauthorized, 403 Forbidden, 404 Not Found, 429 Throttling, and 5xx server errors. Use when debugging Fabric API authenticationfabric-rti-perf-remediateDiagnose and resolve performance issues in Microsoft Fabric Real-Time Intelligence including Eventhouse, KQL databases, Eventstream, and ingestion pipelines. Use when asked to troubleshoot slow KQL qufabric-spark-compute-perf-remediateDiagnose and resolve performance issues in Microsoft Fabric Delta Lake and Spark workloads. Use when remediate slow Spark notebooks, long-running Spark jobs, Delta table query degradation, small file fabric-spark-compute-remediateDiagnose and resolve Microsoft Fabric Spark compute issues including HTTP 430 throttling errors, job queueing failures, slow session startup, autoscale problems, capacity SKU limits, environment publifabric-spark-perf-remediateDiagnose and resolve Apache Spark performance issues in Microsoft Fabric. Use when asked to troubleshoot slow Spark notebooks, optimize Spark SQL queries, fix data skew or shuffle bottlenecks, tune spfabric-udf-perf-remediateDiagnose and resolve performance issues with Microsoft Fabric User Data Functions. Use when functions are slow, timing out, returning errors, consuming excessive capacity units, or exhibiting cold sta