Rendiment

Anàlisi i optimització del rendiment

Skills: 25–48 de 2971
ibelick

fixing-motion-performance

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.

Animació 10,1 k fa 8 mesos
sickn33

3d-web-experience

sickn33

Expert in building 3D experiences for the web - Three.js, React

Rendiment 48,4 k fa 6 mesos
sickn33

agent-orchestration-multi-agent-optimize

sickn33

"Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability."

Agents 48,4 k fa 6 mesos
Orchestra-Research

nemo-evaluator-sdk

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.

CI/CD 13,8 k fa 9 mesos
Orchestra-Research

gptq

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.

MLOps 13,8 k fa 11 mesos
Orchestra-Research

deepspeed

Orchestra-Research

Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

MLOps 13,8 k fa 11 mesos
Orchestra-Research

quantizing-models-bitsandbytes

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.

MLOps 13,8 k fa 11 mesos
langfuse

vercel-react-best-practices

langfuse

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Rendiment 36,3 k fa 8 mesos
Jeffallan

nextjs-developer

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."

Generació de codi 12 k fa 5 mesos
Jeffallan

flutter-expert

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.

Rendiment 12 k fa 5 mesos
Jeffallan

pandas-pro

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.

Processament de dades 12 k fa 5 mesos
mastra-ai

react-best-practices

mastra-ai

React performance optimization guidelines from Mastra Engineering. This skill should be used when writing, reviewing, or refactoring React code to ensure optimal performance patterns. Triggers on tasks involving React components, data fetching, bundle optimization, or performance improvements.

Rendiment 29 k fa 17 d
mastra-ai

performance-review

mastra-ai

Performance-focused code review for identifying bottlenecks and optimization opportunities

Revisió de codi 29 k fa 8 mesos
gmh5225

dma-attack-techniques

gmh5225

Guide for PCIe DMA threat modeling, FPGA-based memory access, and defensive implications in game security. Use this skill when researching pcileech, BAR and TLP behavior, page-table walking, IOMMU or VT-d, device impersonation, firmware mimicry, or DMA detection and mitigation in game security research.

Desenvolupament de jocs 3,6 k fa 2 mesos
Shubhamsaboo

code-reviewer

Shubhamsaboo

Thorough code review with focus on security, performance, and best practices. Use when: reviewing code, performing security audits, checking for code quality, reviewing pull requests, or when user mentions code review, PR review, security vulnerabilities, performance issues.

Revisió de codi 142,8 k fa 8 mesos
zebbern

vercel-react-best-practices

zebbern

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Rendiment 4,7 k fa 4 mesos
zebbern

nextjs-developer

zebbern

Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke for full-stack features, performance optimization, SEO implementation, production deployment.

Generació de codi 4,7 k fa 4 mesos
zebbern

http-load-profiler

zebbern

"Run stepped HTTP load tests with ab/wrk, ramping concurrency levels to collect p50/p90/p99 latency, detect performance inflection points, and recommend optimal concurrency. Triggered by requests like 'load test this URL', 'benchmark my API', 'find the max concurrency', or mentions of p99 latency, throughput saturation, or capacity planning."

Rendiment 4,7 k fa 4 mesos
zebbern

three-best-practices

zebbern

Three.js performance optimization and best practices guidelines. Use when writing, reviewing, or optimizing Three.js code. Triggers on tasks involving 3D scenes, WebGL/WebGPU rendering, geometries, materials, textures, lighting, shaders, or TSL.

Revisió de codi 4,7 k fa 4 mesos
zebbern

database-optimizer

zebbern

Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.

Bases de dades 4,7 k fa 4 mesos
zebbern

sql-insight

zebbern

"Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or mention keywords like NL2SQL, query tuning, or full table scan."

Bases de dades 4,7 k fa 4 mesos
zebbern

r3f-best-practices

zebbern

React Three Fiber (R3F) and Poimandres ecosystem best practices. Use when writing, reviewing, or optimizing R3F code. Triggers on tasks involving @react-three/fiber, @react-three/drei, zustand, @react-three/postprocessing, @react-three/rapier, or leva.

Rendiment 4,7 k fa 4 mesos
OneKeyHQ

1k-performance

OneKeyHQ

Performance optimization for React/React Native — re-renders, memoization, FlashList, memory leaks, and bundle size.

Rendiment 2,5 k fa 15 d
pytorch

cuda-index-width

pytorch

Choose 32-bit vs 64-bit index math in PyTorch CUDA kernels. Use when fixing large-tensor indexing overflows, deciding whether to use int64_t, canUse32BitIndexMath, CUDA_KERNEL_LOOP_TYPE, or AT_DISPATCH_INDEX_TYPES, and when considering binary-size or performance impact of index-type templating.

Depuració 105 k fa 3 mesos