accelerated-computing-cudf
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ET…
nemo-automodel-model-onboarding
Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, …
nemo-automodel-distributed-training
Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSD…
marketing-pipeline-ai-content-automation
Automate content creation from research to video generation using AI (Claude, OpenAI) and Remotion$n…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execu…
rag-perf
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load te…
cuopt-routing-formulation
Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or in…
pentestcompanion-workspace
Self-hosted pentest management workspace for tracking engagements, running tools, auto-importing fin…
physical-ai-infrastructure-setup-and-resilient-scaling
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for …
cupynumeric-install
Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are …
cuopt-numerical-optimization-formulation
LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, de…
rag-eval
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monito…
omniverse-usd-performance-tuning
Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high …
physical-ai-neural-reconstruction
Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF …
cuopt-skill-evolution
After solving a non-trivial problem, detect generalizable learnings and propose skill updates. Alway…