Performance
Performance profiling and optimization
intelligent-cache
by dadbodgeoff
Multi-layer caching with type-specific TTLs, get-or-generate pattern, memory and database layers, and graceful invalidation without cache stampede.
caching-strategies
by dadbodgeoff
Implement multi-layer caching with Redis, in-memory, and HTTP caching. Covers cache invalidation, stampede prevention, and cache-aside patterns.
长列表虚拟滚动优化方案
by TencentBlueKing
处理超过 1000 条数据的大型列表渲染时的性能优化方案，包含定高和不定高两种策略。
code-review
by markus41
Comprehensive code review knowledge including security, performance, accessibility, and quality standards across multiple languages and frameworks
performance-management
by pluginagentmarketplace
Master performance management, goal-setting, OKRs, reviews, feedback, and metrics for engineering teams
Lighthouse Performance Analysis
by srsubramanian
Comprehensive Lighthouse CLI performance analysis - automated audits, Core Web Vitals, opportunities, and diagnostics
Web Performance Analysis (Chrome DevTools)
by srsubramanian
Interactive web performance analysis using Chrome DevTools MCP - live profiling, network inspection, caching analysis, and real-time debugging
chrome_perf_analyzer
by srsubramanian
Analyze Chrome DevTools Performance trace JSON files. Use when the user uploads a Chrome Performance trace (.json) and asks questions like "what network calls happened between X and Y", "what took the most time", "show me long tasks", "what was slow", or any query about timing, network requests, or performance bottlenecks in the trace.
clickhouse-io
by affaan-m
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
3d-web-experience
by sickn33
Expert in building 3D experiences for the web - Three.js, React
agent-orchestration-multi-agent-optimize
by sickn33
"Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability."
fixing-motion-performance
by ibelick
Audit and fix animation performance issues including layout thrashing, compositor properties, scroll-linked motion, and blur effects. Use when animations stutter, transitions jank, or reviewing CSS/JS animation performance.
flutter-expert
by Jeffallan
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
nextjs-developer
by Jeffallan
"Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke to configure route handlers, implement middleware, set up API routes, add streaming SSR, write generateMetadata for SEO, scaffold loading.tsx/error.tsx boundaries, or deploy to Vercel. Triggers on: Next.js, Next.js 14, App Router, RSC, use server, Server Components, Server Actions, React Server Components, generateMetadata, loading.tsx, Next.js deployment, Vercel, Next.js performance."
pandas-pro
by Jeffallan
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
nemo-evaluator-sdk
by Orchestra-Research
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.
quantizing-models-bitsandbytes
by Orchestra-Research
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
deepspeed
by Orchestra-Research
Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention
gptq
by Orchestra-Research
Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.
supabase-postgres-best-practices
by supabase
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
web-perf
by cloudflare
Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed.
runtime-debug
by vercel
Debug and verification workflow for runtime-bundle and module-resolution regressions. Use when diagnosing unexpected module inclusions, bundle size regressions, or CI failures related to NEXT_SKIP_ISOLATE, nft.json traces, or runtime bundle selection (module.compiled.js). Covers CI env mirroring, full stack traces via __NEXT_SHOW_IGNORE_LISTED, route trace inspection, and webpack stats diffing.
swiftui-performance-audit
by Dimillian
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
py
by crazyguitar
Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC. Use for: Python questions, Python interview preparation, debugging, performance optimization, async patterns, library examples, code review, best practices, MLOps workflows, distributed computing, security implementations, and any Python development tasks.