Loading...
Loading...
Found 114 Skills
Diagnose, compare, and optimize Apache Spark applications and SQL queries using Spark History Server data. Use this skill whenever the user wants to understand why a Spark app is slow, compare two benchmark runs or TPC-DS results, find performance bottlenecks (skew, GC pressure, shuffle spill, straggler tasks), get tuning recommendations, or optimize Spark/Gluten configurations. Also trigger when the user mentions 'diagnose', 'compare runs', 'why is this query slow', 'tune my Spark job', 'benchmark comparison', 'performance regression', or asks about executor skew, shuffle overhead, AQE effectiveness, or Gluten offloading issues.
Review shared inbox health: open vs. done items, unassigned work, and per-member assignment breakdown.
Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.
Weekly summary: this week's meetings, unread email breakdown by category, and team assignment status.
Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks.
Process inbox in priority order by Spark's smart categories: priority first, then people, invites, notifications, newsletters.
Review inbox status across multiple email accounts with per-account breakdown and cross-account priorities.
Morning standup briefing: today's events, unread people and priority mail, and team assignment status.
Prepare for an upcoming meeting: check agenda, search for email context, look up attendee details, and flag open threads that should be raised.
Process pending calendar invitations: check availability and present a decision list with recommendations.
Find mutual availability with attendees and suggest meeting times.
Build a chronological narrative for a topic by interleaving meeting transcript excerpts and email thread summaries across a time range.