Browse Skills

Go Continuous Integration configures CI/CD pipelines for Go projects using GitHub Actions, including testing, linting, SAST, security scanning, code coverage, Dependabot, Renovate, GoReleaser, code review automation, and release pipelines.

Go Dependency Management covers go.mod management, installing/upgrading packages, vulnerability scanning, outdated dependency tracking, conflict resolution, go.work workspaces, and Dependabot/Renovate setup for adding, removing, or upgrading Go dependencies.

Golang CLI provides patterns and best practices for building, modifying, and reviewing Go command-line applications. Use it when working with Cobra/Viper, flags, config layering, version embedding, exit codes, I/O, signals, completion, and CLI testing.

AIQ Deploy installs, runs, validates, and stops a local or self-hosted NVIDIA AI-Q Blueprint server. Use it when asked to deploy, troubleshoot, or shut down AI-Q infrastructure for the aiq-research skill.

AMC Setup Calibration Stack launches the AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when deploying auto calibration, launching AMC, starting MS+UI, or setting up auto-magic-calib with an NGC API key.

CUDA-Q Guide walks users through installing CUDA-Q, writing quantum kernels, GPU-accelerated simulation, connecting to QPU hardware, and exploring built-in quantum applications.

CuOpt Developer guides contributions to the NVIDIA cuOpt codebase, covering C++/CUDA, Python, server, and CI changes, build and test workflows, DCO signoff, and code conventions. Use it when modifying cuOpt internals rather than using cuOpt to solve problems.

cuOpt Install helps you install NVIDIA cuOpt for Python, C, or as a REST server via pip, conda, or Docker, and verify the installation. Use it when setting up cuOpt on systems with NVIDIA Compute Capability 7.0+ and CUDA 12.x/13.x.

cuOpt Server API Python provides REST server deployment and Python/curl client examples for NVIDIA cuOpt routing and LP/MILP problems. Use it when starting the server, understanding endpoints, or writing client code.

cuPyNumeric Install helps set up and verify the cuPyNumeric Python library via conda or pip, including GPU usage checks. Use it when someone needs cuPyNumeric running in an isolated environment on Linux or WSL.

DeepStream Import Vision Model automates the end-to-end import of object detection vision models from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline, including ONNX download or SafeTensors export, TensorRT engine build, custom parser, multi-stream benchmark, and PDF report.

DeepStream Profiling profiles NVIDIA DeepStream pipelines using Nsight Systems and derives performance configs such as batch size and precision from measurements. Use it when building efficient pipelines or benchmarking FPS on a target GPU.