Performance
Performance profiling and optimization
pytorch
by tondevrel
Leading deep learning framework. Provides Tensors and Dynamic Computational Graphs with strong GPU acceleration. Widely used for research, neural networks, and differentiable programming.
h5py
by tondevrel
A Pythonic interface to the HDF5 binary data format. It allows you to store huge amounts of numerical data and easily manipulate that data from NumPy. Features a hierarchical structure similar to a file system. Use for storing datasets larger than RAM, organizing complex scientific data hierarchically, storing numerical arrays with high-speed random access, keeping metadata attached to data, sharing data between languages, and reading/writing large datasets in chunks.
jax
by tondevrel
Composable transformations of Python+NumPy programs. Differentiate, vectorize, JIT-compile to GPU/TPU. Built for high-performance machine learning research and complex scientific simulations. Use for automatic differentiation, GPU/TPU acceleration, higher-order derivatives, physics-informed machine learning, differentiable simulations, and automatic vectorization.
numba
by tondevrel
A Just-In-Time (JIT) compiler for Python that translates a subset of Python and NumPy code into fast machine code. Developed by Anaconda, Inc. Highly effective for accelerating loops, custom mathematical functions, and complex numerical algorithms. Use for @njit, @vectorize, prange, cuda.jit, numba.typed, JIT compilation, parallel loops, GPU acceleration with CUDA, Monte Carlo simulations, numerical algorithms, and high-performance Python computing.
polars
by tondevrel
Blazingly fast DataFrame library written in Rust. Features a multi-threaded query engine, lazy evaluation, and efficient memory usage via Apache Arrow. Designed for high-performance data processing on a single machine. Use for large datasets (1GB-100GB+), fast data transformations, Parquet/CSV processing, complex query pipelines, memory-efficient operations, and when speed is critical (10-100x faster than pandas).
numpy-low-level
by tondevrel
Advanced sub-skill for NumPy focused on internal memory management, stride manipulation, structured arrays, and interfacing with C/Cython. Covers zero-copy operations and SIMD vectorization principles.
memory
by goldengrape
Two-layer memory system with grep-based recall.
three-best-practices
by emalorenzo
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.
alex-hormozi-pitch
by danielmiessler
Create irresistible offers and pitches using Alex Hormozi's methodology from $100M Offers. Guides through value equation, guarantee frameworks, pricing psychology, and creating offers "too good not to take" for any product or service.
performance-optimization
by srstomp
Use when analyzing performance issues, optimizing slow pages or APIs, setting up load testing (k6, Artillery), implementing caching, reducing bundle sizes, establishing performance budgets, or profiling bottlenecks. Covers frontend (Core Web Vitals, rendering, bundle size) and backend (query optimization, caching, async patterns) optimization.
skill-memory
by memodb-io
Use skill-memory to download, view and edit agent skills in memory. TRIGGER by 'skill', 'memory', 'learn'.
gtd-coach
by iamzifei
Personal GTD (Getting Things Done) coach that helps users achieve their annual goals. Use when users mention goals, plans, daily tasks, productivity, time management, task tracking, reviews, or need help breaking down objectives into actionable steps. Automatically remembers user's goals and progress across conversations. Supports multiple languages.
xor-shader-techniques
by ZhangHanDong
Use when implementing shader effects like turbulence, fluid, fire, smoke, procedural noise, starfields, volumetric rendering, raymarching, glow, antialiasing, fractal texturing, or optimizing shader performance with cheap alternatives. Triggers on: shader techniques, shader tricks, shader optimization, turbulence shader, fluid shader, fire shader, smoke shader, procedural noise, dot noise, gyroid noise, efficient chaos, star field, particle scatter, fractal texturing, LOD texturing, texture scaling, volumetric rendering, raymarching, glow effects, antialiasing, analytic antialiasing, fwidth, shader performance, cheap shader effects, GLSL tricks, shader math, shader formulas, Xor shader, GM Shaders, mini.gmshaders.com
unity
by Logos-Liber
Unity game engine patterns, lifecycle, best practices, and C# conventions
automating-excel
by SpillwaveSolutions
Automates Microsoft Excel on macOS via JXA with AppleScript dictionary discovery. Use when asked to "automate Excel spreadsheets", "JXA Excel scripting", "Excel macOS automation", or "bulk Excel data operations". Focuses on workbooks, worksheets, ranges, 2D arrays, performance toggles, and VBA escape hatches.
perf
by rube-de
Performance analysis: bundle size checks, profiling, benchmarks, and algorithmic complexity review. Identifies performance-sensitive areas and creates a structured GitHub issue.
memory-search
by cklxx
记忆检索 — 搜索和读取对话记忆（存储为 Markdown 文件）。
eval-systematic-optimization
by cklxx
Run foundation-suite baseline, cluster failures, and optimize pass@1 systematically.
clarification_expert
by multiversx
Expert at identifying underspecified requirements and asking high-value clarifying questions.
better-all
by Casper-Studios
Use the better-all library for Promise.all with automatic DAG-based dependency optimization and full type inference. Use when parallelizing async operations with complex dependencies.
best-practice-search
by cklxx
搜索并提炼业界/开源最佳实践的 SOP，强调可信来源、适用边界与可执行建议。
multiversx-vault-pattern
by multiversx
In-memory token ledger pattern for tracking intermediate balances during multi-step operations within a single transaction. Use when building any contract that processes sequential token operations — aggregators, batch processors, atomic swaps, or multi-step DeFi flows.
nav-profile
by dkyazzentwatwa
Manage user preferences and corrections for bilateral modeling. Auto-learns from session corrections. Use when user says "save my preferences", "remember I like...", or auto-triggers after corrections.
stimulus
by faqndo97
Build Stimulus controllers from scratch through production. Full lifecycle - create, debug, test, optimize, integrate with Turbo. Covers targets, values, actions, outlets, and UI patterns.