Search

NVIDIA/skills

390 skills found, page 8.
Search results
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
337
337.RAG BlueprintOfficial

NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage.

NVIDIA/skills3.6k—~2.8kAutomated safety check: NotesApache-2.02 days ago
338
338.RAG EvalOfficial

Filesystem RAG benchmarks: corpus/, train.json, evaluaterag.py (RAGAS quality).

NVIDIA/skills3.6k—~2.3kAutomated safety check: NotesApache-2.02 days ago
339
339.RAG PerfOfficial

Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config.

NVIDIA/skills3.6k—~4.1kAutomated safety check: PassApache-2.02 days ago
340

How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2dcv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT…

NVIDIA/skills3.6k—~4.5kAutomated safety check: NotesApache-2.02 days ago
341

How to swap the VLM in the VSS Alerts Blueprint — covers RTVI-VLM microservice deployment methods, all three VLM consumers (rtvi-vlm, vlm-as-verifier, vss-agent), and health checks.

NVIDIA/skills3.6k—~5kAutomated safety check: NotesApache-2.02 days ago
342

Shared Cosmos3 frontend that explicitly routes Cosmos Framework and Cosmos-RL, validates runtime model/video-dataset/SLURM inputs, consumes an SQSH or packaged backend image, optionally plans…

NVIDIA/skills3.6k—~5kAutomated safety check: NotesApache-2.02 days ago
343

Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline).

NVIDIA/skills3.6k—~4.5kAutomated safety check: NotesApache-2.02 days ago
344

Standard single-step train/eval/export workflow for any TAO model.

NVIDIA/skills3.6k—~1.2kAutomated safety check: NotesApache-2.02 days ago
345

Deploy and operate the RTVI-CV-3D microservice as MV3DT (MODE=mv3dt): per-camera DeepStream perception plus BEV Fusion over calibrated cameras.

NVIDIA/skills3.6k—~4.8kAutomated safety check: NotesApache-2.02 days ago
346

Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).

NVIDIA/skills3.6k—~3.9kAutomated safety check: PassApache-2.02 days ago
347

LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective).

NVIDIA/skills3.6k—~4.9kAutomated safety check: PassApache-2.02 days ago
348
348.Data DesignerOfficial

A skill your agent uses when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.

NVIDIA/skills3.6k—~1.2kAutomated safety check: WarnApache-2.02 days ago
349

Build Holoscan SDK from source via the in-tree ./run script.

NVIDIA/skills3.6k—~1.5kAutomated safety check: NotesApache-2.02 days ago
350

Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit.

NVIDIA/skills3.6k—~4.2kAutomated safety check: PassApache-2.02 days ago
351
351.Jetson Generate KbOfficial

Build a per-target knowledge-base markdown next to the active profile by walking the BSP root and source tree.

NVIDIA/skills3.6k—~3.8kAutomated safety check: PassApache-2.02 days ago
352
352.Jetson Init ImageOfficial

Extract Jetson Linux + sample-rootfs tarballs and run applybinaries.sh for the active target, then record bspimage in the profile.

NVIDIA/skills3.6k—~1.8kAutomated safety check: NotesApache-2.02 days ago
353
353.Jetson Quick StartOfficial

Entry skill for Jetson / IGX BSP customization. An agent skill from NVIDIA/skills.

NVIDIA/skills3.6k—~4.7kAutomated safety check: PassApache-2.02 days ago
354
354.Jetson Set TargetOfficial

Switch the active Jetson target-platform pointer to an existing profile YAML.

NVIDIA/skills3.6k—~1.7kAutomated safety check: PassApache-2.02 days ago
355

Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.

NVIDIA/skills3.6k—~4.8kAutomated safety check: PassApache-2.02 days ago
356

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills3.6k—~2.2kAutomated safety check: PassApache-2.02 days ago
357

Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.

NVIDIA/skills3.6k—~3kAutomated safety check: PassApache-2.02 days ago
358

Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data.

NVIDIA/skills3.6k—~1.6kAutomated safety check: PassApache-2.02 days ago
359

Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.

NVIDIA/skills3.6k—~2.3kAutomated safety check: PassApache-2.02 days ago
360

Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.

NVIDIA/skills3.6k—~3.5kAutomated safety check: PassApache-2.02 days ago
361

Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlapmoeexpertparallelcomm, delaywgradcompute, and flex dispatcher backends such as DeepEP and HybridEP.

NVIDIA/skills3.6k—~3.5kAutomated safety check: PassApache-2.02 days ago
362

Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

NVIDIA/skills3.6k—~1.4kAutomated safety check: PassApache-2.02 days ago
363

Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

NVIDIA/skills3.6k—~973Automated safety check: PassApache-2.02 days ago
364

Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM…

NVIDIA/skills3.6k—~3.6kAutomated safety check: PassApache-2.02 days ago
365

MoE expert-parallel communication overlap in Megatron Bridge.

NVIDIA/skills3.6k—~1.9kAutomated safety check: PassApache-2.02 days ago
366

Choose the right MoE token dispatcher (alltoall, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage.

NVIDIA/skills3.6k—~2kAutomated safety check: PassApache-2.02 days ago
367

Representative, point-in-time MoE training playbooks by hardware and model family.

NVIDIA/skills3.6k—~2kAutomated safety check: PassApache-2.02 days ago
368

Long-context MoE training guidance for Megatron Bridge. An agent skill from NVIDIA/skills.

NVIDIA/skills3.6k—~1.2kAutomated safety check: PassApache-2.02 days ago
369

Evidence-gated workflow for MoE performance optimization in Megatron Bridge.

NVIDIA/skills3.6k—~3.3kAutomated safety check: PassApache-2.02 days ago
370

Practical guidance for training MoE VLMs in Megatron Bridge.

NVIDIA/skills3.6k—~1.3kAutomated safety check: PassApache-2.02 days ago
371

Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.

NVIDIA/skills3.6k—~2.4kAutomated safety check: PassApache-2.02 days ago
372

Validate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.

NVIDIA/skills3.6k—~3.3kAutomated safety check: PassApache-2.02 days ago
373

Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

NVIDIA/skills3.6k—~924Automated safety check: PassApache-2.02 days ago
374

Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.

NVIDIA/skills3.6k—~2.8kAutomated safety check: PassApache-2.02 days ago
375

A skill your agent uses when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS…

NVIDIA/skills3.6k—~2.8kAutomated safety check: NotesApache-2.02 days ago
376

Kubernetes execution platform — submits TAO container jobs as k8s Jobs with NVIDIA GPU scheduling; single-pod for one node, Indexed Jobs for multi-node distributed training.

NVIDIA/skills3.6k—~4.9kAutomated safety check: WarnApache-2.02 days ago
377

Expert cuTile programming assistant. An agent skill from NVIDIA/skills.

NVIDIA/skills3.6k—~5kAutomated safety check: PassApache-2.02 days ago
378
378.Mcore TestingOfficial

Test system for Megatron-LM. An agent skill from NVIDIA/skills.

NVIDIA/skills3.6k—~1.8kAutomated safety check: PassApache-2.02 days ago
379
379.Nvflare OrientOfficial

Route open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete…

NVIDIA/skills3.6k—~747Automated safety check: PassApache-2.02 days ago
380
380.Rtx Remix ModdingOfficial

Mod or remaster a game with RTX Remix - open and edit projects, swap textures and models.

NVIDIA/skills3.6k—~2.2kAutomated safety check: PassApache-2.02 days ago
381

Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.

NVIDIA/skills3.6k—~5.7kAutomated safety check: PassApache-2.02 days ago
382
382.Nemo Rl DocsOfficial

Documentation conventions for NeMo-RL. An agent skill from NVIDIA/skills.

NVIDIA/skills3.6k—~357Automated safety check: PassApache-2.02 days ago
383
383.Tao SetupOfficial

One-time session setup and orchestration map for the TAO skill bank.

NVIDIA/skills3.6k—~1.8kAutomated safety check: WarnApache-2.02 days ago
384

Linting and formatting for Megatron-LM. An agent skill from NVIDIA/skills.

NVIDIA/skills3.6k—~406Automated safety check: PassApache-2.02 days ago