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Found 195 Skills
Process inbox in priority order by Spark's smart categories: priority first, then people, invites, notifications, newsletters.
End-to-end ELT pipeline using SSIS, SQL Server, and PySpark for enterprise data warehousing and analytics
Review and finalize multiple pending drafts in a batch session: read context, edit, or discard.
Generate creative prompts and thought experiments from wiki content. Use when the user wants inspiration, says "spark", "what if", "give me ideas", "what should I explore next", or wants creative prompts from their wiki, second brain, or knowledge base.
Pyspark Transformer - Auto-activating skill for Data Pipelines. Triggers on: pyspark transformer, pyspark transformer Part of the Data Pipelines skill category.
Comprehensive guide for implementing Syncfusion WPF Sparkline (SfSparkline) controls in Windows Presentation Foundation applications. Use this when working with sparklines, mini charts, or trend visualization. This skill covers sparkline types (line, column, area, WinLoss), markers, track ball, range bands, axis controls, and segment customization for compact data visualization in WPF applications.
Support agent persona for Spark. Shared inbox processing, assignment, templated responses, and escalation via delegation.
Implement Syncfusion Windows Forms Sparkline controls for compact data visualization. Use this when working with sparklines, trend displays in condensed format, or high-density data visualization. This skill covers line, column, and WinLoss chart types, data point markers, high/low value highlighting, and lightweight graphical representations in Windows Forms applications.
Develops and executes Spark code on Dataproc Clusters and Serverless. Reads and writes data using BigLake Iceberg catalogs, BigQuery and Spanner. Debugs execution failures. Use when: - Writing Spark ETL pipelines on GCP. - Training or running inference with ML models with spark on GCP. - Managing Spark clusters, jobs, batches, and interactive sessions. Don't use when: - Writing generic Python scripts that don't use Spark. - Performing simple SQL queries that can be done directly in BigQuery.
Founder / CEO persona for Spark. High-volume triage, aggressive delegation, cross-team oversight, and selective engagement.
Tame notification overload by reclassifying noisy senders, grouping repetitive notifications, and bulk-archiving cleared alerts.
Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, implementing real-time data processing, handling stateful operations, or optimizing streaming performance.