By datathings
Run and manage local LLMs via Ollama's REST API for text generation, chat, embeddings, tool calling, structured output, and model management.
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vLLM v0.19.0 skill: offline batch inference, OpenAI-compatible server, LoRA adapters, multimodal inputs, embeddings, classification, structured outputs, and tool calling.
Complete CBLAS and LAPACKE C API reference (LAPACK v3.12.1) covering 1284 functions across BLAS Level 1/2/3 vector and matrix operations, linear system solvers, eigenvalue/eigenvector computation, SVD, least squares, matrix factorizations, and auxiliary routines for scientific computing and high-performance numerical linear algebra.
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
ggml v0.15.3 C tensor library skill — 650+ functions and 98 ops for graph computation, GGUF I/O, multi-backend inference, GLU activations, SSM/RWKV ops, and ML training
AMD ROCm 7.2.4 GPU computing stack: HIP kernel development, rocBLAS/rocFFT/rocRAND/rocSOLVER compute libraries, profiling, and CUDA-to-HIP porting
npx claudepluginhub datathings/marketplace --plugin ollamavLLM 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.
Run a private LLM inside your own .NET process with Overfit — pure C#, on the CPU, no Python, no Ollama, no cloud. Adds local inference (chat/RAG/embeddings) to an existing project, and builds offline, deterministic, zero-cost eval harnesses for agent skills and prompts.