AI model or service
NVIDIA AI Platform agent skills, page 7
NVIDIA AI Platform skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 289 | Optimize AlpaSim Slurm topology throughput using persistent local Prometheus/Grafana telemetry and run artifacts. | NVlabs/ | 1.3k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 19 days ago |
| 290 | Preflight checks and diagnosis for ten known failure modes of ML training on NVIDIA DGX Spark's GB10, spanning launch errors, memory, thermals, bandwidth and precision. | wshobson/ | 40k | 1 repo | ~2k | Automated safety check: Pass | MIT | 3 days ago |
| 291 | Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables. | BBuf/ | 911 | — | ~2.8k | Automated safety check: Pass | No licence | 2 days ago |
| 292 | Drive NVIDIA Nsight Graphics 2026.1+ from the command line for GPU performance analysis, frame capture, frame trace inspection, draw-call inspection, NVTX/D3DPERF stage timing, replay metadata… | Luna5ama/ | 156 | — | ~4.7k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 293 | 293.Optimize Op Drive a single-operator optimization campaign per .agents/guidance/OPTIMIZATIONGUIDELINES.md, with a deterministically enforced definition-of-done and versioned MR summary. | CVCUDA/ | 2.7k | — | ~834 | Automated safety check: Pass | Unknown | 21 days ago |
| 294 | A skill your agent uses when asked to run deep research or Deep Researcher Agent research through a reachable NVIDIA Deep Researcher Agent Blueprint backend. | NVIDIA-AI-Blueprints/ | 883 | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 295 | Add agent-ready vision capabilities — dense captioning, detection, search, alerting, summarization — to an agent or application through a customizable, self-contained vision stack built on the… | NVIDIA-AI-Blueprints/ | 1.9k | — | ~15k | Automated safety check: Notes | Apache-2.0 | today |
| 296 | 296.Parabricks Route NVIDIA Parabricks pbrun tools, assess GPU/runtime readiness, and provide version-aware command guidance for FASTQ/BAM processing, RNA-seq, variant calling, BAM QC, and GVCF workflows. | NVIDIA-BioNeMo/ | 478 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 297 | Add a new step under src/nemotron/steps/<category/<stepid/ — manifest (step.toml), runner glue, configs, and per-step README.md. | NVIDIA-NeMo/ | 2.1k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 298 | Separate a person, product or hand from the background in a video, on the user's own computer with SAM 2. | Barty-Bart/ | 493 | — | ~2.4k | Automated safety check: Pass | Unknown | 2 days ago |
| 299 | 299.Anonymizer A skill your agent uses when the user wants to anonymize a text dataset, redact PII, de-identify free-text data, or rewrite text to remove sensitive or inferable identifying information. | NVIDIA-NeMo/ | 123 | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | today |
| 300 | 300.Integrate Model Integrates a hosted API or local/open-weight model end-to-end across OpenTryOn (adapter, CLI registry, MCP, docs) and TryOn Studio (catalog, Connect keys, planner). | tryonlabs/ | 551 | — | ~1.1k | Automated safety check: Pass | Unknown | yesterday |
| 301 | Install, convert, debug, and benchmark sim2real ONNX GPU and TensorRT inference backends on onboard JetPack 5 Orin hosts such as g1-cable. | EGalahad/ | 145 | — | ~1.1k | Automated safety check: Pass | No licence | 9 days ago |
| 302 | Builds a NeMo Gym (NVIDIA) variant of an RL environment. An agent skill from adithya-s-k/FineEnvs. | adithya-s-k/ | 443 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 303 | 303.Setup Workshop This skill should be used when the user wants to set up, install, deploy, bootstrap, or "spin up" the Build-an-Agent workshop (a.k.a. | brevdev/ | 144 | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | today |
| 304 | 304.Dstack Presets Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format. | dstackai/ | 2.3k | — | ~403 | Automated safety check: Pass | MPL-2.0 | today |
| 305 | Prepare, install and commission NVIDIA GPU hosts for Vast.ai using host-specific safety gates, XFS storage checks, cgroup/runtime testing and optional VM qualification. | jjziets/ | 162 | — | ~2.1k | Automated safety check: Pass | No licence | 4 days ago |
| 306 | 306.Review Op Review a CV-CUDA operator end-to-end (support / test / bench / docs coverage). | CVCUDA/ | 2.7k | — | ~481 | Automated safety check: Pass | Unknown | 21 days ago |
| 307 | Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters. | NVIDIA-NeMo/ | 2.1k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 308 | A skill your agent uses for GPU-accelerated machine learning on tabular data using NVIDIA cuML. | wahyudesu/ | 114 | — | ~1.8k | Automated safety check: Pass | MIT | 5 mo ago |
| 309 | Create safe, privacy-preserving Windows 11 C-drive cleanup, storage migration, cache relocation, package-manager policy, and maintenance plans. | Nongfsq/ | 144 | — | ~845 | Automated safety check: Pass | MIT | 4 mo ago |
| 310 | YOLO 2026 — state-of-the-art real-time object detection. An agent skill from SharpAI/DeepCamera. | SharpAI/ | 3.1k | — | ~1.5k | Automated safety check: Pass | MIT | 21 days ago |
| 311 | A skill your agent uses when quantizing a diffusion DiT with NVIDIA ModelOpt and making the resulting FP8 or NVFP4 checkpoint loadable, verifiable, and benchmarkable in SGLang Diffusion. | sgl-project/ | 37k | 2 repos | ~5k | Automated safety check: Pass | Apache-2.0 | today |
| 312 | Generate Triton Runner ttir, ttgir, llir, ptx, cubin, and metadata artifacts inside examples/runner/vX.Y.Z for the active Triton version and the current machine's GPU capability. | toyaix/ | 100 | — | ~471 | Automated safety check: Pass | MIT | 21 days ago |
| 313 | 313.Memorywhale Query and write durable debugging memory recorded by MemoryWhale. | wuisabel-gif/ | 154 | — | ~765 | Automated safety check: Pass | MIT | today |
| 314 | 314.Cutlass Skill Write, debug, and optimize CUTLASS, CuTe, and CuTeDSL GPU kernels from local upstream source, examples, and headers. | slowlyC/ | 169 | — | ~1.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 315 | 315.Erm Install and run erm, the local CLI that removes filler words / disfluencies (um, uh, er, erm, ah, hmm, mhm, mm, uh-huh and elongations) from spoken-audio recordings. | dougcalobrisi/ | 112 | — | ~1.3k | Automated safety check: Notes | MIT | 1 mo ago |
| 316 | Set up the NVIDIA "Build an Agent" DevX workshop as a working JupyterLab environment from INSIDE a locked-down OpenShell/NemoClaw sandbox, and hand the user the token URL + access commands. | brevdev/ | 144 | — | ~5.2k | Automated safety check: Pass | Apache-2.0 | today |
| 317 | Optimizes and serves LLMs on NVIDIA GPUs with TensorRT-LLM, covering quantization, in-flight batching, multi-GPU parallelism and the trtllm-serve command. | Orchestra-Research/ | 13k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 318 | 318.Nemotron Nano3 Reference desk for Nemotron 3 Nano / Llama-Nemotron Nano 3 — architecture, training data, recipes, evaluation, quantization, deployment. | NVIDIA-NeMo/ | 2.1k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 319 | 319.Cv Deploy 基于 helpfile 工程经验,协助 agent 配置 CV 主机和边缘设备环境、编译视觉与推理依赖、接入摄像头视频并打包部署服务。适用于 Ubuntu、CentOS、Windows、macOS、Jetson、树莓派和 RK3399 的 CV 工程实施与故障排查,以及相关移动端配套工具;模型训练和纯算法设计不属于本技能主线。 | LMIXR/ | 146 | — | ~547 | Automated safety check: Pass | No licence | 8 days ago |
| 320 | Verify a CV-CUDA optimization campaign's deterministic definition-of-done and concise versioned MR summary per .agents/guidance/OPTIMIZATIONGUIDELINES.md. | CVCUDA/ | 2.7k | — | ~424 | Automated safety check: Pass | Unknown | 21 days ago |
| 321 | Install KimodoUnityBridge and route Unity animation work through its cooperating capability tools. | OneYoungMean/ | 107 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 322 | 322.Keirouter Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. | mydisha/ | 147 | — | ~995 | Automated safety check: Pass | MIT | 27 days ago |
| 323 | GGUF format and llama.cpp quantization for efficient CPU/GPU inference. | Orchestra-Research/ | 13k | 4 repos | ~2.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 324 | 324.Llama Cpp Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. | Orchestra-Research/ | 13k | 4 repos | ~1.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 325 | Interactively build, push or load, and deploy an airunway component (controller or any provider) to the cluster | ai-runway/ | 101 | — | ~927 | Automated safety check: Pass | Apache-2.0 | 11 days ago |
| 326 | 326.Tilelang Skill Write, debug, and optimize TileLang kernels from local upstream language, JIT, autotuning, profiling, compiler, test, and example source. | slowlyC/ | 169 | — | ~1.8k | Automated safety check: Pass | MIT | 2 mo ago |
| 327 | Serves AI models on AMD Instinct GPU hardware using vLLM. An agent skill from amd/skills. | amd/ | 398 | — | ~4k | Automated safety check: Notes | MIT | today |
| 328 | 328.Nemotron Super3 Reference desk for NVIDIA Nemotron 3 Super — architecture, training data, recipes (pretrain/SFT/RL/eval/quantization), and deployment notes. | NVIDIA-NeMo/ | 2.1k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 329 | 329.Dstack dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters. | dstackai/ | 2.3k | — | ~6.2k | Automated safety check: Warn | MPL-2.0 | today |
| 330 | Choose and run ACU-only, adaptive PPU in-kernel timeline, or optional bounded joint analysis for a PPU kernel. | alibaba/ | 161 | — | ~5.2k | Automated safety check: Pass | Apache-2.0 | 8 days ago |
| 331 | Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. | Orchestra-Research/ | 13k | 3 repos | ~3.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 332 | Covers serving LLMs with SGLang, whose RadixAttention reuses cached prefixes, and constraining output to JSON, regex or grammar for agent and tool-calling workloads. | Orchestra-Research/ | 13k | 3 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 333 | Sets up large-scale LLM training with NVIDIA Megatron-Core, choosing tensor, pipeline, data, context and expert parallelism for a given model size and GPU count. | Orchestra-Research/ | 13k | 3 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 334 | 334.Triton Skill Write, debug, and optimize Triton and Gluon GPU kernels from local upstream tutorials, production kernels, language definitions, and compiler source. | slowlyC/ | 169 | — | ~1.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 335 | Compare a Primus backend against an upstream repository or reference, verify git state, dependencies, directory changes, and integration coupling, then generate comparison reports, dashboard… | AMD-AGI/ | 131 | — | ~3.4k | Automated safety check: Pass | Unknown | today |
| 336 | 336.Make Op Add a new CV-CUDA operator end-to-end per .agents/guidance/MAKEOPGUIDELINES.md, with a deterministically-enforced definition-of-done. | CVCUDA/ | 2.7k | — | ~831 | Automated safety check: Pass | Unknown | 21 days ago |