Agent skills for VS Code

The standing craft of a Chief Technology Officer — every technical question answered in four steps (diagnosis of what exists and its…

This skill should be used when the user asks about ctrlsys routines, control theory functions, LQR design, Riccati solvers, Kalman…

Record architectural decision. Use when a trade-off is resolved or a non-obvious design choice is made that future sessions need to know.

Normalize journal source markdown for clean rendering.

Run the full release process. Use when cutting a new version of ctx.

Check if docs and code conventions are consistent after changes.

Expert skill for CUDA Graph capture and optimization for reduced launch overhead.

Optimizes, profiles, and benchmarks CUDA, CUTLASS, Triton, and deep learning GPU workloads using evidence-driven profiling and ROI analysis.

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF.

Builds a cult film recommendation agent with x402 payments.

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI).

Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install.

Install cuOpt — system and environment requirements only.

Developer installation — build cuOpt from source, run tests.

Install cuOpt for Python — pip, conda, Docker, verification.

LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli).

Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.

cuOpt REST server — what it does and how requests flow.

Use when reviewing or refactoring code and wanting a structured lens beyond SOLID — applies Daniel Terhorst-North's CUPID properties to…

Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file…