Perform high-performance steady-state analysis on distribution power systems—including power flow, state estimation, and IEC 60909 short-circuit calculations—using Python's power-grid-model library with numpy structured arrays for batch and parallel simulations across 22 component types.
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npx claudepluginhub datathings/marketplace --plugin powergridmodelComplete 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.
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datathingspandapower v3.4.0 Python skill - power systems analysis with 80+ functions for AC/DC power flow, OPF, short circuit (IEC 60909), and state estimation
datathingsggml 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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datathingspandapower v3.4.0 Python skill - power systems analysis with 80+ functions for AC/DC power flow, OPF, short circuit (IEC 60909), and state estimation
datathingsProgressive-disclosure workflows for power-system software exposed by PowerMCP: ANDES, Egret, LTSpice, OpenDSS, PSLF, PSS/E, PowerWorld, PyPSA, pandapower, and surge. Each skill exposes load, inspect, solve, modify, then advanced studies, so an agent starts with the lowest-risk action and only escalates once the base case is credible.
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