{"id":"eb0e2b50-2239-49a8-86ac-89c6e00e140a","slug":"ibucketbranch-claudeskills","name":"cursor-ai-engineer","description":"Expert AI/ML engineering skill for Cursor IDE grounded in Google engineering practices. Covers the full ML stack from research to production. Use when users want to (1) set up a new Cursor project with AI coding rules, (2) review code using Google's engineering standards, (3) create or customize .mdc/.cursorrules files, (4) work with ML/AI frameworks (PyTorch, Transformers, TensorFlow, scikit-learn), (5) optimize C++ inference code, (6) implement MLOps pipelines, (7) design silicon-aware AI infrastructure, or (8) establish coding standards for Python, React, SQL/Supabase projects. Stack expertise includes C++, Python, NumPy, Pandas, PyTorch (primary), TensorFlow/Keras, Hugging Face Transformers, scikit-learn, FastAPI, CUDA, and production ML systems. Triggers include \"set up Cursor,\" \"create AI rules,\" \"review this code,\" \"ML project,\" \"inference optimization,\" \"MLOps,\" \"model serving,\" or \"AI infrastructure.\"","capabilities":[],"protocols":["OPENCLAW"],"safetyScore":94,"overallRank":28.5,"trustScore":null,"trust":null,"source":"GITHUB_OPENCLEW","updatedAt":"2026-04-14T22:27:19.149Z"}