Multi-layer caching strategies across CDN, browser, server, and database. PROACTIVELY activate for: (1) HTTP caching headers, (2) CDN configuration, (3) Server-side caching with Redis, (4) Cache invalidation strategies, (5) ETag implementation. Triggers: "caching", "cache strategy", "CDN", "browser cache", "server cache", "redis", "cache invalidation", "ETag", "Cache-Control"
Browser runtime profiling with Chrome DevTools and Core Web Vitals optimization. PROACTIVELY activate for: (1) Using Chrome Performance panel, (2) Analyzing flame charts, (3) Diagnosing long tasks, (4) Core Web Vitals optimization, (5) Memory profiling. Triggers: "devtools", "performance panel", "lighthouse", "flame graph", "jank", "long task", "fps", "layout thrashing", "core web vitals"
Bundle analysis and optimization strategies for Next.js applications using Webpack and Turbopack. PROACTIVELY activate for: (1) Analyzing bundle size, (2) Implementing code splitting, (3) Configuring tree shaking, (4) Dynamic imports, (5) Webpack/Turbopack configuration. Triggers: "bundle size", "webpack", "turbopack", "code splitting", "tree shaking", "lazy loading", "bundle analyzer", "dynamic import"
Performance optimization patterns for Next.js 14+ React Server Components. PROACTIVELY activate for: (1) Optimizing RSC data fetching, (2) Implementing streaming with Suspense, (3) Configuring caching and revalidation, (4) Parallel data fetching, (5) Partial Prerendering. Triggers: "rsc", "server component", "nextjs performance", "data fetching", "caching", "revalidate", "suspense", "streaming", "partial prerendering"
Advanced Python profiling with cProfile, py-spy, and optimization techniques including Python 3.13 features. PROACTIVELY activate for: (1) CPU profiling with cProfile, (2) Flame graph generation with py-spy, (3) Memory optimization, (4) Async performance patterns, (5) Python 3.13 JIT and free-threaded mode. Triggers: "python performance", "cProfile", "py-spy", "flame graph", "memory optimization", "async performance", "JIT", "GIL"
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npx claudepluginhub agentient/vibekit --plugin performance-toolsModel Context Protocol (MCP) server development patterns
Multi-expert evaluation patterns for structured analysis, deliberation, and decision-making
Testing, code review, linting, and coverage analysis patterns
[STUB] C4 diagrams, OpenAPI specs, architectural decisions
Research workflow tools: systematic interviewing, research brief design, and multi-source consolidation
Get comprehensive performance optimization recommendations
Use this agent for comprehensive performance testing, profiling, and optimization recommendations. This agent specializes in measuring speed, identifying bottlenecks, and providing actionable optimization strategies for applications. Examples:\n\n<example>\nContext: Application speed testing
Web performance audits with Core Web Vitals, bottleneck identification, optimization recommendations. Use for page load times, performance reviews, UX optimization, or encountering LCP, FID, CLS issues, resource blocking, render delays.
AI-powered performance optimization - Interactive performance audit skill and automated agent with comprehensive bottleneck detection and optimization
Performance analysis, profiling, and optimization recommendations
Rigorous performance investigation workflow with baselines, profiling, and evidence-backed decisions