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AI & LLM Engineering · NVIDIA AI Platform
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Scaffold a new CV-CUDA operator — a complete, wired, building skeleton — and delegate the implementation to a human or another AI. | CVCUDA/ | 2.7k | — | ~306 | Automated safety check: Pass | Unknown | 24 days ago |
| 50 | Calculate training costs for Tinker fine-tuning jobs. An agent skill from sundial-org/skills. | sundial-org/ | 153 | — | ~1.2k | Automated safety check: Pass | No licence | 2 mo ago |
| 51 | Run NVIDIA compute-sanitizer (memcheck, racecheck, initcheck, synccheck) against a Triton/TLX kernel to find runtime memory and synchronization bugs. | facebookexperimental/ | 201 | — | ~1.6k | Automated safety check: Pass | MIT | today |
| 52 | Run, monitor, stop and report Primus convergence tests -- training a model on a real corpus and checking that the loss curve is healthy -- from a plain-language request such as "run convergence test… | AMD-AGI/ | 131 | — | ~2.1k | Automated safety check: Pass | Unknown | today |
| 53 | Quick install and deploy vLLM, start serving with a simple LLM, and test OpenAI API. | vllm-project/ | 102 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 54 | 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/ | 1.9k | — | ~5.1k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 55 | 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/ | 13k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 56 | 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/ | 2.1k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 57 | Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV. | NVIDIA/ | 3.6k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 58 | 58.Module 1 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/ | 146 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 59 | Verify a new CV-CUDA operator against the deterministic final regression checklist (the /make-op done-gate). | CVCUDA/ | 2.7k | — | ~433 | Automated safety check: Pass | Unknown | 24 days ago |
| 60 | Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning. | amd/ | 182 | — | ~1.4k | Automated safety check: Pass | MIT | 13 days ago |
| 61 | 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/ | 2.1k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 62 | A skill your agent uses when an SGLang, vLLM, TensorRT-LLM, or TokenSpeed serving/model optimization task needs prior model-family PR evidence. | BBuf/ | 938 | — | ~1.5k | Automated safety check: Pass | No licence | 6 days ago |
| 63 | 63.Upgrade Deps Upgrade focused runtime dependencies in AReaL. An agent skill from areal-project/AReaL. | areal-project/ | 5.8k | — | ~6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 64 | Runs TAO Data Services gap analysis that compares ground-truth and predicted boxes to find weak images by per-class recall, precision and AP50. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 65 | 65.Module 1 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/ | 146 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 66 | Review a CV-CUDA operator's BENCHMARK coverage — drivers, layout axis, baselines, the basic-tier floor, row counts, and coverage statistics. | CVCUDA/ | 2.7k | — | ~274 | Automated safety check: Pass | Unknown | 24 days ago |
| 67 | 67.Watchdog 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/ | 108 | — | ~1.9k | Automated safety check: Pass | No licence | 2 days ago |
| 68 | Sets up and runs NVIDIA Cosmos Policy evaluations on the LIBERO and RoboCasa simulators, including headless GPU rendering and inference latency profiling. | Orchestra-Research/ | 13k | — | ~3.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 69 | 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/ | 13k | — | ~3.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 70 | 70.Slime User Guide for using SLIME (LLM post-training framework for RL Scaling). | yzlnew/ | 149 | — | ~3.2k | Automated safety check: Pass | No licence | 3 mo ago |
| 71 | Compares a vision-language model's yes/no predictions with ground truth and writes the false-positive and false-negative cases to a JSONL file with a summary report. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 72 | Run TLX kernel performance benchmarks on Hopper, Blackwell, and AMD (gfx950/CDNA4, gfx1250) GPUs. | facebookexperimental/ | 201 | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 73 | Analyze official Megatron-LM commits, PRs, and branch change sets to identify feature evolution, candidate breaking changes, and migration-relevant events. | ascend-ai-coding/ | 174 | — | ~1.2k | Automated safety check: Pass | No licence | yesterday |
| 74 | Optimize dense matrix multiplication (GEMM) kernels in Triton for NVIDIA and AMD GPUs. | ZJLi2013/ | 102 | — | ~1.1k | Automated safety check: Pass | No licence | 6 mo ago |
| 75 | Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server. | vllm-project/ | 102 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | 6 mo ago |
| 76 | Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)… | awslabs/ | 916 | — | ~910 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 77 | NVIDIA's runtime safety framework for LLM applications. An agent skill from Orchestra-Research/AI-Research-SKILLs. | Orchestra-Research/ | 13k | 2 repos | ~1.9k | Automated safety check: Warn | MIT | 3 mo ago |
| 78 | GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. | K-Dense-AI/ | 48k | 1 repo | ~3.4k | Automated safety check: Pass | MIT | 6 days ago |
| 79 | Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 80 | Review a CV-CUDA operator's input-type, layout, dtype, and channel support matrix. | CVCUDA/ | 2.7k | — | ~248 | Automated safety check: Pass | Unknown | 24 days ago |
| 81 | Track and normalize change requests against the official Megatron-LM repository by branch, PR, commit, commit range, or time window. | ascend-ai-coding/ | 174 | — | ~1.1k | Automated safety check: Pass | No licence | yesterday |
| 82 | Computer vision engineering skill for object detection, image segmentation, and visual AI systems. | alirezarezvani/ | 28k | 1 repo | ~3.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 83 | Map migration-relevant Megatron changes onto the official MindSpeed repository by resolving branch alignment, locating affected subsystems, and identifying concrete adaptation points. | ascend-ai-coding/ | 174 | — | ~1.3k | Automated safety check: Pass | No licence | yesterday |
| 84 | Set up and manage NVIDIA GPU servers for AI workloads. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~2k | Automated safety check: Notes | MIT | 2 days ago |
| 85 | Implements input/output validation guardrails for LLM applications using NVIDIA NeMo Guardrails (Colang), custom Python validators for PII detection, and the Guardrails AI framework, intercepting… | mukul975/ | 34k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 86 | Probes Retrieval-Augmented Generation pipelines for indirect prompt injection via poisoned retrieved documents and embedding-space manipulation, using NVIDIA garak, Promptfoo red-team plugins, and… | mukul975/ | 34k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 87 | Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 6 days ago |
| 88 | LLM and ML model deployment for inference. An agent skill from ancoleman/ai-design-components. | ancoleman/ | 525 | — | ~3.4k | Automated safety check: Pass | MIT | 10 mo ago |
| 89 | Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. | NVIDIA/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 90 | Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. | NVIDIA/ | 3.6k | 1 repo | ~1.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 91 | Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes. | NVIDIA/ | 3.6k | 1 repo | ~2.7k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 92 | Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data. | NVIDIA/ | 3.6k | 1 repo | ~2.3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 93 | Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 94 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 95 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 96 | A skill your agent uses for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |