NVIDIA AI Platform · For developers

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

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

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

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

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

GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile.

Mathews-Tom/armory

Use this sub-skill for Torch-TensorRT model compilation, dynamic input planning, torch.export workflows, save/load formats, raw TensorRT engines, and compile-time troubleshooting.

VectorSpaceLab/AREX-Skill

Use this sub-skill for Torch-TensorRT runtime performance controls, CUDA Graphs, output allocation, caches, TensorRT-RTX runtime settings, mutable modules, refit, weight streaming, and benchmark…

VectorSpaceLab/AREX-Skill

A skill your agent uses for Torch-TensorRT tasks: compiling PyTorch models with TensorRT, dynamic-shape/export workflows, runtime optimization, Triton/C++/distributed deployment, debugging…

VectorSpaceLab/AREX-Skill

Set up and deploy a Boundless prover to a GPU server using Ansible.

boundless-xyz/boundless

MindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU.

ascend-ai-coding/awesome-ascend-skills

Universal VLM (vision-language understanding model) training guide for Huawei Ascend NPU using MindSpeed-MM.

ascend-ai-coding/awesome-ascend-skills

Generates an executable, end-to-end VERL reinforcement learning quickstart runbook for Ascend/NPU (docker image, dataset preprocessing, model setup, mainppo training, and examples/run.sh flow).

ascend-ai-coding/awesome-ascend-skills

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

NVIDIA/skills

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

NVIDIA/skills

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU).

sundial-org/awesome-openclaw-skills

CUDA C/C++ skill for NVIDIA GPU kernel programming. An agent skill from mohitmishra786/low-level-dev-skills.

mohitmishra786/low-level-dev-skills

CUDA debugging skill for GPU program correctness. An agent skill from mohitmishra786/low-level-dev-skills.

mohitmishra786/low-level-dev-skills

CUDA profiling skill for NVIDIA GPU performance analysis. An agent skill from mohitmishra786/low-level-dev-skills.

mohitmishra786/low-level-dev-skills

GPU memory model skill for SIMT execution and memory hierarchy.

mohitmishra786/low-level-dev-skills

Bind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block.

NVIDIA/skills

Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar.

NVIDIA/skills

The data-mover for TAO jobs — decides the storage tier (A pre-positioned mount with zero fetch / B volume-from-S3 / C ephemeral in-compute fetch), stages inputs (bulk + annotation-selective +…

NVIDIA/skills

The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKERHOST=ssh://user@host.

NVIDIA/skills