NVIDIA AI Platform agent skills, page 8

Best practices for Docker-based ROS2 development including multi-stage Dockerfiles, docker-compose for multi-container robotic systems, DDS discovery across containers, GPU passthrough for…

arpitg1304/robotics-agent-skills

Explains where HOT-Step generation time goes (LM/DiT/VAE), how the TensorRT paths activate, how to benchmark from logs, and which knobs trade quality for speed.

scragnog/HOT-Step-CPP

Bilingual guide for running and interpreting LLaVA-OneVision2 HF vs Megatron consistency checks across TP and PP settings

EvolvingLMMs-Lab/LLaVA-OneVision-2

A skill your agent uses when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA Deep Researcher Agent Blueprint infrastructure.

NVIDIA-AI-Blueprints/deep-researcher-agent

A skill your agent uses when accelerating existing genomics workflows with NVIDIA Parabricks, improving runtime or price/performance, converting pipeline steps to GPUs, or comparing CPU and GPU…

NVIDIA-BioNeMo/bionemo-agent-toolkit

Estimate GPU memory usage for Megatron-based MoE (Mixture of Experts) and dense models.

yzlnew/infra-skills

Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use.

davila7/claude-code-templates

Initialize a Draw Things GPU server with GPUScript, including script sync, Docker/CUDA/NVIDIA runtime setup, 7T data disk mounting, mergerfs, and end-to-end GPU verification.

drawthingsai/draw-things-community

Manage NVIDIA AI Workbench projects, contexts, builds, and environments via the nvwb CLI.

brevdev/workshop-build-an-agent

Checklist and workflow for preparing an MR/PR in the FLA repo.

fla-org/flash-linear-attention

Generate vector embeddings via KeiRouter /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia embedding models for RAG, semantic search, similarity.

mydisha/keirouter

Use MemoryWhale debugging evidence when the user requests recall or a recurring failure may have relevant recorded history.

wuisabel-gif/MemWhale

Inventory and explain the patch (monkey-patch) optimizations Primus layers over upstream training backends such as Megatron-LM, TorchTitan, and MaxText, including their version compatibility…

AMD-AGI/Primus

Query current NVIDIA CUDA, PTX ISA, Runtime API, Driver API, Programming Guide, Best Practices, Nsight Compute, and Nsight Systems references.

slowlyC/agent-gpu-skills

A skill your agent uses when deploying or operating standalone RTVI-CV-3D / MV3DT multi-camera 3D tracking for calibrated MP4/file inputs and live RTSP streams: missing-calibration handoff to AMC…

NVIDIA-AI-Blueprints/video-search-and-summarization

Run the Nemotron-3.5 Lightning Text2SQL LoRA fine-tuning tutorial (NeMo Megatron-Bridge) end-to-end for the user on a single node: data prep, checkpoint conversion, LoRA fine-tuning of the 30B-A3B…

NVIDIA-NeMo/Nemotron

Uses Meta's LlamaGuard moderation model to screen prompts and model replies against six safety categories, with vLLM, FastAPI and NeMo Guardrails setups.

Orchestra-Research/AI-Research-SKILLs

Guidelines for NVIDIA GPU kernel / Triton / Gluon / TileLang / CUDA backend performance work in the FLA repo.

fla-org/flash-linear-attention

Scaffold a new CV-CUDA operator — a complete, wired, building skeleton — and delegate the implementation to a human or another AI.

CVCUDA/CV-CUDA

Calculate training costs for Tinker fine-tuning jobs. An agent skill from sundial-org/skills.

sundial-org/skills

Fine-tunes and evaluates OpenVLA-OFT and OFT+ robot policies with LoRA and continuous action heads on LIBERO simulation and ALOHA real-robot setups.

Orchestra-Research/AI-Research-SKILLs

Quick install and deploy vLLM, start serving with a simple LLM, and test OpenAI API.

vllm-project/vllm-skills

Optimize fused cross-entropy loss kernels in Triton for NVIDIA and AMD GPUs.

ZJLi2013/awesome-kernel-skills

为 AutoResearch 的双 Agent 轨迹、付费 GPU 长跑、Docker 执行、可信评测与恢复建立共享协议、成本决策和隔离边界。用于小时/包日选择、启动或恢复 campaign、设计证据与防止题目或轨迹串用；不替代具体任务算法或最终平台 QA。

bosprimigenious/autoresearch-skills

Run the Nemotron-3 Ultra Text2SQL LoRA fine-tuning tutorial (NeMo Megatron-Bridge) end-to-end for the user on their SLURM cluster: data prep, distributed checkpoint conversion, and packed LoRA…

NVIDIA-NeMo/Nemotron

Verify a new CV-CUDA operator against the deterministic final regression checklist (the /make-op done-gate).

CVCUDA/CV-CUDA

This skill should be used when a learner is working through Module 1 ("Build an Agent") of the Build-an-Agent workshop and wants help understanding the concepts, notebooks, or code — e.g.

brevdev/workshop-build-an-agent

Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning.

amd/Quark

Optimize FlashAttention-style fused attention kernels in Triton for NVIDIA and AMD GPUs.

ZJLi2013/awesome-kernel-skills

Reference desk for NVIDIA Nemotron 3 Ultra (550B-A55B) — architecture, NVFP4 pretraining, SFT, MOPD (multi-teacher on-policy distillation), MTP boosting, quantization, inference.

NVIDIA-NeMo/Nemotron

A skill your agent uses when an SGLang, vLLM, TensorRT-LLM, or TokenSpeed serving/model optimization task needs prior model-family PR evidence.

BBuf/AI-Infra-Auto-Driven-SKILLS

Upgrade focused runtime dependencies in AReaL. An agent skill from areal-project/AReaL.

areal-project/AReaL

Review a CV-CUDA operator's BENCHMARK coverage — drivers, layout axis, baselines, the basic-tier floor, row counts, and coverage statistics.

CVCUDA/CV-CUDA

MemoryWhale debugging; compiler failures; terminal diagnostics.

wuisabel-gif/MemWhale

This skill should be used when a learner is working through Module 1 ("Build an Agent") of the Build-an-Agent workshop and wants help understanding the concepts, notebooks, or code — e.g.

brevdev/workshop-build-an-agent

Hold / release GPUs by running a standard SGLang inference server on them (lab convention — occupy a card with a real serving job that fills ~all of its memory AND is driven at stable near-full…

cua-lite/cua-lite

Optimize Fused Mixture-of-Experts (MoE) kernels in Triton for NVIDIA and AMD GPUs.

ZJLi2013/awesome-kernel-skills

Sets up and runs NVIDIA Cosmos Policy evaluations on the LIBERO and RoboCasa simulators, including headless GPU rendering and inference latency profiling.

Orchestra-Research/AI-Research-SKILLs

Bilingual guidance for Megatron checkpoint 1D 2D 3D mprank layouts across tensor pipeline and expert parallel dimensions

EvolvingLMMs-Lab/LLaVA-OneVision-2

Computer vision engineering skill for object detection, image segmentation, and visual AI systems.

alirezarezvani/claude-skills

Guide for using SLIME (LLM post-training framework for RL Scaling).

yzlnew/infra-skills

Review a CV-CUDA operator's DOCS & API artifacts — operatorlist row, Python autofunction (fn + into), Limitations-table-vs-code consistency, docstrings, and SPDX headers.

CVCUDA/CV-CUDA

Analyze official Megatron-LM commits, PRs, and branch change sets to identify feature evolution, candidate breaking changes, and migration-relevant events.

ascend-ai-coding/awesome-ascend-skills

Optimize dense matrix multiplication (GEMM) kernels in Triton for NVIDIA and AMD GPUs.

ZJLi2013/awesome-kernel-skills

Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.

vllm-project/vllm-skills

Generate a validation plan and test scaffolding to check a Primus optimization that has been ported into a user's own training framework, across correctness (numerical accuracy vs a reference)…

AMD-AGI/Primus

Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming).

yzlnew/infra-skills

NVIDIA's runtime safety framework for LLM applications. An agent skill from Orchestra-Research/AI-Research-SKILLs.

Orchestra-Research/AI-Research-SKILLs