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Found 192 Skills
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.
Creates, configures, and updates Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP) using serverless compute. Handles streaming tables, materialized views, CDC, SCD Type 2, and Auto Loader ingestion patterns. Use when building data pipelines, working with Delta Live Tables, ingesting streaming data, implementing change data capture, or when the user mentions SDP, LDP, DLT, Lakeflow pipelines, streaming tables, or bronze/silver/gold medallion architectures.
Manage the full lifecycle of Alibaba Cloud EMR Serverless Spark workspaces—create workspaces, submit jobs, Kyuubi interactive queries, resource queue scaling, and status queries. Use this Skill when users want to create Spark workspaces, submit Spark jobs, view job status and logs, execute SQL via Kyuubi, scale resource queues, or view workspace status. Also applicable when users say "create a Spark workspace", "submit Spark job", "run PySpark", "execute SQL via Kyuubi", "scale resource queue", "view job logs", etc.
Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.
Prepare for an upcoming meeting: check agenda, search for email context, look up attendee details, and flag open threads that should be raised.
Implement Syncfusion Blazor Sparkline Charts for compact, inline trend visualizations in Blazor applications. Use this when creating mini charts, KPI indicators, dashboard sparklines, or word-sized data visualizations. This skill covers line, area, column, WinLoss, and pie sparklines, including data labels, markers, special points (high/low/negative), range bands, tooltips, and appearance customization. Ideal for dashboards, data tables with inline trends, email reports, and mobile data visualization scenarios requiring compact trend indicators.
Query a running Apache Spark History Server from Copilot CLI. Use this whenever the user wants to inspect SHS applications, jobs, stages, executors, SQL executions, environment details, or event logs, especially when they mention Spark History Server, SHS, event log history, benchmark runs, or application IDs.
Apache Spark distributed computing. Use for big data processing.
Design and redesign EdgeSpark frontends with distinctive, production-grade visual direction instead of generic AI-looking UI. Use when building or polishing landing pages, marketing sites, dashboards, auth flows, portfolios, product surfaces, or reusable frontend sections in EdgeSpark, especially when the task mentions design quality, aesthetics, typography, color, layout, motion, art direction, or making the UI feel more premium and original.
Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks.
Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.
Weekly summary: this week's meetings, unread email breakdown by category, and team assignment status.