By datathings
Implement machine learning inference and training in C/C++ using ggml tensor library: build computation graphs, manage GGUF model I/O, apply quantization like Q4_0 or Q5_K, and accelerate with CPU, CUDA, Metal, or Vulkan backends via 560+ optimized functions.
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npx claudepluginhub datathings/marketplace --plugin ggmlpower-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
Comprehensive reference for GreyCat C API and GCL Standard Library. Covers native function implementation, tensor operations, scheduling, I/O, statistics, and all std modules.
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.
Build and configure neural network architectures
GPU kernel knowledge-base, benchmarking, profiling, and optimization-loop skills for CUDA, Triton, CuTe DSL, CUTLASS, PyTorch, and Nsight Compute workflows.
Machine learning training and inference pipeline using cloud GPUs (Modal, Lambda Labs, RunPod) with HuggingFace ecosystem - no local GPU required
Local-first resolver for Hugging Face models (GGUF, MLX, safetensors). The agent checks your own storage and any mounted drives before downloading anything.
When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI tools. When troubleshooting local LLM server connections.