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Found 1,938 Skills
JVM performance profiling with Java Flight Recorder (JFR), jcmd, and GC analysis. Use for identifying bottlenecks and memory issues. USE WHEN: user mentions "Java profiling", "JFR", "JVM performance", asks about "Java Flight Recorder", "jcmd", "heap dump", "GC tuning", "thread dump", "Java memory leak" DO NOT USE FOR: Node.js/Python profiling - use respective skills instead
Implements Syncfusion TreeViewAdv control for Windows Forms applications to display hierarchical tree structures, file explorers, organization charts, and nested data. Use this when working with hierarchical data, parent-child relationships, expandable nodes, file browser interfaces, or folder structures. The skill covers data binding, drag-and-drop, node customization, editing capabilities, and performance optimization for tree structures in WinForms.
Implementation guide for Syncfusion Windows Forms Bullet Graph control for compact data visualization. Use this when working with bullet graphs, performance indicators, KPI visualization, comparative measures, or qualitative ranges in WinForms. This skill covers dashboard gauges, target vs actual comparisons, and performance range visualization in Windows Forms desktop applications.
Effectue des revues de code complètes des merge requests GitLab, analysant la qualité du code, la sécurité, les performances et les bonnes pratiques. À utiliser quand l'utilisateur dit « review » ou « code review » ou demande de revoir des merge requests ou d'analyser les changements d'une branche avant fusion.
Transaction-verified trading signals on Base. Register agent as signal provider, publish trades with TX hash proof, consume signals from top performers via REST API. All track records verified against blockchain data. No fake performance claims. Triggers on: "publish signal", "post trade signal", "register provider", "subscribe to signals", "copy trade", "bankr signals", "signal feed", "trading leaderboard", "read signals", "get top traders".
A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini).
Comprehensive reference for LINE MINI App — Service Messages, Common Profile Quick Fill, In-App Purchase, Console setup (3 internal channels), submission review, and performance guidelines for web apps running inside LINE as an enhanced LIFF platform. This skill should be used when the user asks to "build a LINE MINI App", "send a service message", "set up Common Profile Quick Fill", "implement in-app purchase", "configure MINI App Console", "submit MINI App for review", or mentions LINE MINI App, Service Messages, notification token, Common Profile, IAP purchase flow, 3 internal channels, consent simplification, Custom Path, custom share messages, or verified vs unverified MINI App. Always use this skill whenever the user mentions LINE MINI App, mini apps in LINE, or enhanced LIFF features like service messages or in-app purchase, even if they don't explicitly say "MINI App".
Executes optimization hypotheses with keep/discard testing loop. Use when applying validated performance improvements.
Review, refactor, or build SwiftUI features with correct state management, modern API usage, optimal view composition, navigation patterns, performance optimization, and testing best practices.
Alibaba Cloud PolarDB Database AI Assistant. For PolarDB MySQL/PostgreSQL cluster management, performance diagnostics, parameter tuning, slow SQL analysis, backup recovery, connection session analysis, primary-standby switchover diagnostics, security configuration audit, and other O&M operations. Use when user questions involve PolarDB, cluster IDs starting with pc-, kernel parameters, primary-standby switchover, IMCI columnar storage, etc.
Diagnoses and fixes UI performance across loading speed, rendering, animations, images, and bundle size. Use when the user mentions slow, laggy, janky, performance, bundle size, load time, or wants a faster, smoother experience.
This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines. Part of the context engineering skill suite — also activates when the user mentions "context engineering" or "context-engineering" in the context of measuring agent effectiveness.