NVIDIA AI Platform

Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit.

NVIDIA/skills

NVIDIA App MCP: drivers, games, laptops, overlay. An agent skill from NVIDIA/skills.

NVIDIA/skills

Coordinate the end-to-end CAD/source-asset to SimReady workflow.

NVIDIA/skills

Top-level workflow skill for USD performance diagnosis and optimization.

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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/skills

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/skills

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

NVIDIA/skills

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

NVIDIA/skills

Generate and analyze T1/T2/R roofline reports for PyTorch OOB workloads comparing Intel XPU and NVIDIA CUDA.

intel/torch-xpu-ops

Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs.

jeremylongshore/tons-of-skills-marketplace

Computer vision engineering for object detection, segmentation, and visual AI, covering CNN and Vision Transformer architectures and ONNX/TensorRT deployment.

borghei/Claude-Skills

Optimize Rotary Position Embedding (RoPE) kernels in Triton for NVIDIA and AMD GPUs.

ZJLi2013/awesome-kernel-skills

优化实际模型推理链路，将正确性对齐、分段 profiling、显存与数据搬运、TensorRT/ONNX/PyTorch 后端、attention/kernel、FP8/compile、缓存与少步采样、质量回归、GPU 成本和服务验收串成同一实验闭环。当用户要求推理提速、降低显存或 GPU 成本、复现模型效果、定位 GPU 利用率低、优化图像/视频/扩散模型或自托管 LLM 时使用，提供…

majiayu000/spellbook

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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/skills

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

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

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/skills

MoE expert-parallel communication overlap in Megatron Bridge.

NVIDIA/skills

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

NVIDIA/skills

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

NVIDIA/skills

Practical guidance for training MoE VLMs in Megatron Bridge.

NVIDIA/skills

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

NVIDIA/skills

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/skills

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

NVIDIA/skills

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

NVIDIA/skills

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/skills

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/skills

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

NVIDIA/skills

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

NVIDIA/skills

Deploy inference services on CoreWeave with Helm charts and Kustomize.

jeremylongshore/tons-of-skills-marketplace

Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.

BagelHole/DevOps-Security-Agent-Skills

LLM and multimodal serving systems. An agent skill from uw-syfi/vibesys.

uw-syfi/vibesys

Run GPU jobs on NVIDIA NIM microservices via host.compute.create('byoc:nvidia', ...).

PKU-YuanGroup/OpenAI4S

Verl 分布式训练服务一键拉起与配置。触发场景：(1) 用户要启动 Verl 训练任务或部署 RLHF/DAPO 训练环境 (2) 在 NPU 集群上拉起 Verl 训练容器 (3) 配置 Ray 集群和 SwanLab 监控 (4) 根据 7 位二进制掩码灵活配置加速特性。支持 Qwen3-8B 等 Megatron 模型的 DAPO 训练全流程。

ascend-ai-coding/awesome-ascend-skills

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

NVIDIA/skills