concurrency
Comprehensive concurrency and parallelism patterns for multi-threaded and async programming. Use when implementing async/await, parallel processing, thread safety, worker pools, or debugging race conditions and...
Discover tools framework internals skills, compare source repositories and read the instructions for each workflow.
Comprehensive concurrency and parallelism patterns for multi-threaded and async programming. Use when implementing async/await, parallel processing, thread safety, worker pools, or debugging race conditions and...
Generate optimized scripts that utilize the specific hardware (cores, GPU, OS) of the execution environment.
Implement typeclasses with curried signatures and dual APIs for both data-first and data-last usage
Complete fal.ai optimization system. PROACTIVELY activate for: (1) Queue vs run performance, (2) Parallel request batching, (3) Streaming for real-time UI, (4) WebSocket for interactive apps, (5) Model cost com...
Analyze SIMD usage opportunities in Mojo code. Use to find performance optimization opportunities.
Identify performance optimization opportunities. Use when improving code efficiency.
Apply SIMD optimizations to Mojo code for parallel computation. Use when optimizing performance-critical tensor and array operations.
Expert developer experience optimizer specializing in build performance, tooling efficiency, and workflow automation. Masters development environment optimization with focus on reducing friction, accelerating f...
Expert C++ developer specializing in modern C++20/23, systems programming, and high-performance computing. Masters template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis...
Expert embedded systems engineer specializing in microcontroller programming, RTOS development, and hardware optimization. Masters low-level programming, real-time constraints, and resource-limited environments...
Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch...
Specialized Native AOT, trimming, and optimization expert for morphir-dotnet. Expert in single-file trimmed executables, AOT compilation, size optimization, and guiding toward AOT-compatible features. Use when...
Expert Morphir application architect providing guidance on AST design, functional programming patterns, IR transformations, and code generation for morphir-dotnet. Triggers include "architecture", "design patte...
Write idiomatic Zig code following the Zen of Zig philosophy. Use for systems programming with Zig (.zig files), covering manual memory management with allocators, error unions and explicit error handling, comp...
Game optimization, performance profiling, multi-platform support, and frame rate optimization for smooth gameplay experiences.
Advanced shader programming, visual effects, custom materials, and rendering optimization for stunning game graphics.
Game memory optimization, object pooling, garbage collection tuning, and efficient resource management for target platforms.
Audit, optimize, and maintain 60fps performance for emotive-mascot animations. Use when diagnosing performance issues, optimizing particle systems, reducing bundle size, or ensuring smooth animations across dev...
Use this skill to make a the behavior of our builtins match that of TCL.
Component optimization
Tests map primitive with additional operation arguments
Validates platform abstraction compliance - ensures rendering code uses IRendererAPI interfaces, no direct OpenGL in engine core, proper namespace isolation. Reviews graphics features and guides alternative bac...
Context for FenCore - the pure logic library for WoW addons. Covers utility functions, math helpers, table operations, and environment detection. Load this when working with FenCore or needing utility functions...
Kuikly 开发专家,精通 Kuikly 框架设计理念、核心特性和最佳实践
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.