Skill rating
395 skills. The A–F grade combines safety (60%) and quality (40%); tests add a bonus. The rating refreshes automatically from open catalogs.
ManufacturingLogistics and warehouseProcurementQuality controlContact centreField serviceFinanceCustomer supportindustry shortcuts
| # | Grade | Skill | Score ▾ | Safety | Quality | Process | Tests | Popularity | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 201 | B | Use this skill when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior. | 100 | 81 | D | evals | — | 13 d ago | |
| 202 | B | Use this skill when an application owns tool or LLM/provider call sites and needs to wrap them with NeMo Relay scopes and managed execution APIs for lifecycle events, middleware, or guardrails. | 100 | 81 | C | evals | — | 13 d ago | |
| 203 | B | Validate a user AnomalyGenNext dataset and recipe, freeze its validation set, and prepare a canonical texture fine-tuning recipe. Use when AnomalyGenNext task weights do not yet exist. Do not use for | 95 | 87 | C | evals | — | 13 d ago | |
| 204 | B | Run TAO Data Services TMM nearest-neighbor mining from embedding parquet files. Use when a workflow needs to mine source samples closest to target samples. | 95 | 88 | B | evals | — | 13 d ago | |
| 205 | B | Run RFDiffusion protein backbone design via NVIDIA NIM. Use for de novo protein backbones, motif scaffolding, binder design, hotspot residues, contigs syntax, diffusion steps, hosted NVIDIA API calls, | 95 | 87 | C | evals | — | 13 d ago | |
| 206 | B | Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo | 100 | 81 | D | evals | — | 13 d ago | |
| 207 | B | Use this skill for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. Invoke whenever the user mentions OpenFold2, AlphaFold2-like monomer folding, protein sequence | 95 | 87 | C | evals | — | 13 d ago | |
| 208 | B | Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or | 95 | 87 | C | evals | — | 13 d ago | |
| 209 | B | nemo-fabric-integrateIntegrationGitHubSoftware developmentWriting and documentsNVIDIA/skillsAgent Skills Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, | 100 | 79 | D | evals | — | 13 d ago | |
| 210 | B | Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal like "improve/fine-tune ASR for my domain or language", it scopes the task, picks the chea | 100 | 81 | C | evals | — | 13 d ago | |
| 211 | B | tao-run-on-virtualenvProcedureDockerKubernetesInfrastructureSoftware developmentNVIDIA/skillsAgent Skills Run a Python training/eval script directly in an existing local virtualenv — no docker, no container. Implements the four-verb consumer contract (submit/status/logs/cancel) over a vendored process-lif | 94 | 90 | C | evals | — | 13 d ago | |
| 212 | B | Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. Use for DiffDock, molecular docking, ligand docking, blind docking, SMILES or SDF ligands | 95 | 87 | C | evals | — | 13 d ago | |
| 213 | B | Run and operate the DeepStream Multi-View 3D Tracking reference app, also known as MV3DT. Use when the user asks to set up prerequisites, run shipped MV3DT samples, run Multi-View 3D Tracking on custo | 94 | 90 | A | evals | — | 13 d ago | |
| 214 | B | Generate novel drug-like molecules using the GenMol NIM microservice. Use for de novo generation, scaffold decoration, motif extension, lead optimization, SAFE notation, QED or LogP ranking, hosted NV | 95 | 87 | C | evals | — | 13 d ago | |
| 215 | B | Run TAO Data Services TMM unique-neighbor matching mining from embedding parquet files for object detection workflows. Use when an object detection workflow needs to mine a bijectively-assigned set of | 95 | 88 | B | evals | — | 13 d ago | |
| 216 | B | Use when authoring or validating Cosmos Data Factory (CDF) augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or image-to-video | 100 | 79 | B | evals | — | 6 d ago | |
| 217 | B | Diagnose and narrowly repair one reproduced NVIDIA PVA operator failure. Use from OpGen or manually for compile, link, cuPVA lifecycle, dataflow, DMA, numerical, EMU-versus-hardware, runtime, or perfo | 100 | 80 | C | evals | — | 25 h ago | |
| 218 | B | Two-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them to pixel-space bounding boxes via a VLM. Use when the user wants to ground captions to bb | 93 | 89 | B | evals | — | 13 d ago | |
| 219 | B | Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads. | 100 | 77 | D | evals | — | 13 d ago | |
| 220 | B | Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target backbone. Sends user-provided PDB files and design parameters to NVIDIA's hosted API, authenticated with an envi | 95 | 85 | C | evals | — | 13 d ago | |
| 221 | B | Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "singl | 95 | 86 | C | evals | — | 13 d ago | |
| 222 | B | Use this skill for BlueField-3 (BF3) day-1 platform bring-up via the classic RShim/BFB path: pushing a BlueField bundle (BFB) to the DPU over RShim with bfb-install from the host, the host-to-DPU TMFI | 100 | 78 | B | evals | — | 13 d ago | |
| 223 | B | WARNING: guides IRREVERSIBLE BlueField-4 hardware operations (PLDM firmware burns, ISO reflashes, power cycles, BMC factory resets); every mutating step is governed by doca-hardware-safety (window, ro | 100 | 78 | B | evals | — | 13 d ago | |
| 224 | B | Run a binary industrial-inspection DEFT loop with TAO RT-DETR: measure on frozen KPI/test roles, mine gap-similar real and clean images with SigLIP, accumulate admitted COCO data, retrain from one bas | 95 | 86 | C | evals | — | 13 d ago | |
| 225 | B | Use Boltz2 NIM for biomolecular structure prediction and binding affinity. Invoke for Boltz2, protein structures, protein-ligand/DNA/RNA complexes, SMILES or CCD ligands, pIC50/IC50 affinity scoring, | 94 | 87 | C | evals | — | 13 d ago | |
| 226 | B | Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data. | 95 | 84 | B | evals | — | 13 d ago | |
| 227 | B | Writes an AI agent's ethos.md — a durable snapshot of its purpose, intended behavior, boundaries, and success criteria — from the answers gathered by ethos-explore. Renders the schema-v1 template, val | 95 | 86 | B | evals | — | 13 d ago | |
| 228 | B | Diagnose NVSHMEM runtime failures and prepare bug reports for launch, crashes, hangs, correctness, transport, or topology issues. | 100 | 77 | B | evals | — | 6 d ago | |
| 229 | B | Find version-aware official NVSHMEM and NVSHMEM4Py documentation for releases, installation, APIs, runtime settings, transports, containers, and troubleshooting. | 100 | 77 | C | evals | — | 6 d ago | |
| 230 | B | Run RFD4-Proteina NIM for joint protein structure and sequence design, conditioned generation, and reward-guided search using the NVIDIA hosted API or a self-hosted NIM. Not for the older RFdiffusion | 95 | 84 | A | evals | — | 6 d ago | |
| 231 | B | Agent runbook for evaluating an existing PDB directory through the separately installed first-party Proteina-Complexa CLI. Use to refold or score designs, compute interface pAE, i_pLDDT, scRMSD, motif | 91 | 91 | C | evals | — | 6 d ago | |
| 232 | B | Component-owned guidance for CDF Simulation requests submitted directly or through Airflow-triggered DIG Flow Catalog prompts — golden THT board, THT pin-geometry variation, good/clean SMT images, str | 100 | 77 | C | evals | — | 6 d ago | |
| 233 | B | Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. Use when the user asks for an efficient, performant, or profiled pipeline — or to benchmark, tune, or mea | 95 | 83 | C | evals | — | 13 d ago | |
| 234 | B | Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. Produces a Markdown policy, J | 92 | 88 | C | evals | — | 13 d ago | |
| 235 | B | Check progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses prog | 100 | 76 | B | evals | — | 13 d ago | |
| 236 | B | Plan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory. | 96 | 81 | C | evals | — | 13 d ago | |
| 237 | B | nv-generate-mr-brainGeneratorGitHubSoftware developmentWriting and documentsNVIDIA/skillsAgent Skills Used for generating synthetic T1, T2, FLAIR, SWI, or MRA brain MRI volumes with NV-Generate-CTMR MR-Brain v1. Not for production training data. | 95 | 83 | B | evals | — | 13 d ago | |
| 238 | B | Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test inside | 100 | 76 | C | evals | — | 13 d ago | |
| 239 | B | Use this skill for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. Invoke for MolMIM, molecular embeddings, hidden states, latent decoding, sampl | 95 | 83 | C | evals | — | 13 d ago | |
| 240 | B | Use when a task needs to search or add documents through NeMo Retriever MCP. | 100 | 74 | C | evals | — | 13 d ago | |
| 241 | B | Run a TAO training/evaluation/inference container on an NVIDIA Brev GPU instance. Instance provisioning (create/search/stop/delete/login) is delegated to the official brev-cli agent skill or the Brev | 90 | 90 | D | evals | — | 13 d ago | |
| 242 | B | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer. | 100 | 75 | D | evals | — | 13 d ago | |
| 243 | B | Add, edit, inspect, or validate Proteina-Complexa target definitions for protein binders, ligand binders, and AME motif scaffolding. Use for target registries, chain/residue selectors, hotspots, ligan | 92 | 88 | C | evals | — | 6 d ago | |
| 244 | C | nemo-mbridge-perf-moe-optimization-workflowProcedureSoftware developmentData and analyticsNVIDIA/skillsAgent Skills Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validat | 100 | 73 | C | evals | — | 13 d ago | |
| 245 | C | NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprieta | 95 | 80 | B | evals | — | 13 d ago | |
| 246 | C | cuopt-numerical-optimization-formulationProcedureData and analyticsWriting and documentsNVIDIA/skillsAgent Skills LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API. | 100 | 73 | C | evals | — | 13 d ago | |
| 247 | C | Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings. | 100 | 73 | C | evals | — | 13 d ago | |
| 248 | C | MoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling. | 100 | 73 | C | evals | — | 13 d ago | |
| 249 | C | Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint). | 100 | 72 | C | evals | — | 13 d ago | |
| 250 | C | NOTE: molecule and target inputs and your NGC_API_KEY are transmitted to external NVIDIA-hosted API endpoints on every call. Use local NIM containers for confidential or proprietary data. Run a comple | 95 | 80 | C | evals | — | 13 d ago |