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By datathings
Develop cross-platform GPU/CPU parallel computing applications in C/C++ with OpenCL SDK, managing devices, contexts, queues, kernels, buffers, images, programs, and using C++ bindings for heterogeneous acceleration.
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NVIDIA CUDA C/C++ skill - Runtime API, cuBLAS, cuFFT, cuSPARSE, cuRAND, cuSolver, Thrust, and Cooperative Groups for GPU-accelerated computing
Node Hardware MCP - Comprehensive Hardware Monitoring and System Analysis for LLMs with real-time performance metrics
Graphics engineering agents providing expertise in GPU programming, shaders, and rendering
Comprehensive C/C++ programming reference covering modern C11-C23, C++11-C++23, system programming, CUDA GPU computing, debugging tools, Rust interop, and advanced topics
Claude Code skill pack for CoreWeave (24 skills)
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4
power-grid-model Python skill - high-performance steady-state distribution power system analysis: power flow, state estimation, and IEC 60909 short-circuit calculations with 22 component types and batch/parallel computation
Complete llama.cpp C/C++ API reference (v b7885) covering 198 functions: model loading, inference, text generation, embeddings, chat, advanced sampling (XTC, DRY, infill), per-sequence state management, model type detection, and more. For GGUF models, local LLM inference, and C/C++ AI development.
Comprehensive GreyCat development skill for graph-based language with built-in persistence. Covers data modeling, API development, parallel processing, frontend integration, and all standard libraries.
pandapower v3.4.0 Python skill - power systems analysis with 80+ functions for AC/DC power flow, OPF, short circuit (IEC 60909), and state estimation
ggml v0.9.7 C tensor library skill — 560+ functions for graph computation, GGUF I/O, multi-backend inference, and ML training
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