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Found 2,386 Skills
Mandatory protocol for dispatching any built-in and custom agent in this project via the task tool. Use this skill EVERY TIME you are about to call the task tool with a custom agent_type. This skill ensures the agent's intended model (declared in its YAML frontmatter) is respected rather than overridden by a default. Also encodes prompting best practices for subagent context and quality. ALWAYS invoke before any task tool call that targets a custom agent — even if the agent name seems obvious.
DataWorks Workspace Lifecycle Management Skill. Used for creating, updating, and deleting workspaces, as well as managing workspace members and role authorization. Triggers: "DataWorks", "workspace management", "workspace", "member authorization", "role assignment"
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.
When the user wants to build or improve a sales bot's ability to write and send messages in patterns that don't trigger carrier or email spam filters. Also use when the user mentions "deliverability," "spam filters," "avoiding spam," "email deliverability," "carrier filtering," or "message delivery."
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.
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.
Sendspark integration. Manage data, records, and automate workflows. Use when the user wants to interact with Sendspark data.
Run the SPARC Architecture and Implementation phases — design module boundaries, write pseudocode, implement code, and run tests
Build a comprehensive dossier on a person by pulling all meetings they attended and email threads with them into a single relationship brief.
Process inbox in priority order by Spark's smart categories: priority first, then people, invites, notifications, newsletters.
Sales rep / account manager persona for Spark. Client relationship tracking, pipeline review, follow-up cadence, and deal context.
Work inside the current cmux workspace and terminal. Use for cmux workspace, current workspace, caller surface, panes, surfaces, socket targeting, and non-interfering cmux automation.