By datathings
Run and manage local LLMs via Ollama's REST API, enabling text generation, chat, embeddings, tool calling, structured output, and model management.
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npx claudepluginhub datathings/marketplace --plugin ollamaAMD ROCm 7.2.4 GPU computing stack: HIP kernel development, rocBLAS/rocFFT/rocRAND/rocSOLVER compute libraries, profiling, and CUDA-to-HIP porting
OpenCL SDK (Khronos Group) v2026.05.29 (OpenCL 3.1) C/C++ skill — cross-platform GPU/CPU parallel computing with ~60 C API functions, C++ wrapper, and SDK utilities
Comprehensive reference for GreyCat C API and GCL Standard Library. Covers native function implementation, tensor operations, scheduling, I/O, statistics, and all std modules.
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.
NVIDIA CUDA C/C++ skill - Runtime API, cuBLAS, cuFFT, cuSPARSE, cuRAND, cuSolver, Thrust, and Cooperative Groups for GPU-accelerated computing
vLLM v0.19.0 skill: offline batch inference, OpenAI-compatible server, LoRA adapters, multimodal inputs, embeddings, classification, structured outputs, and tool calling.
Run AI models locally with Ollama - free alternative to OpenAI, Anthropic, and other paid LLM APIs. Zero-cost, privacy-first AI infrastructure.
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.
Local-first resolver for Hugging Face models (GGUF, MLX, safetensors). The agent checks your own storage and any mounted drives before downloading anything.
Delegate heavy code generation to a local LLM (Ollama / LM Studio). Save tokens, keep oversight.
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure