AI model or service
NVIDIA AI Platform agent skills for Claude Code, Codex and other agents.
- skills
- 452
- official
- 276
- Type
- AI model or service
- Website
- developer.nvidia.com
- Official GitHub
- NVIDIA
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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Decides whether an agent skill is safe to install by combining a SkillSpector static scan with the agent's own source review, ending in APPROVE, CAUTION or REJECT. | NVIDIA/ | 20k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Remove bracketed NemoClaw tags from GitHub issue and PR titles. | NVIDIA/ | 23k | — | ~693 | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Walks an agent through working inside the Megatron-LM CI container and changing dependencies with uv, so lock files resolve the same locally and in CI. | NVIDIA/ | 18k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Audit and implement a NemoClaw dependency version upgrade, including Hermes and base images. | NVIDIA/ | 23k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | Moves Megatron-LM CI to a newer NVIDIA PyTorch base image, updating both the GitHub and GitLab pins together and handling the CI follow-up. | NVIDIA/ | 18k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | A skill your agent uses for Kaggle competition overview fetches, writeups, discussion/kernel research, submissions, and dataset uploads. | NVIDIA/ | 336 | — | ~2.3k | Automated safety check: Notes | MIT | 2 mo ago |
| 7 | A skill your agent uses when diagnosing NVIDIA GPUDirect Storage with this repository: choose and run the right gds-diag.py subcommand, interpret its output, and explain operator next steps without… | NVIDIA/ | 125 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 8 days ago |
| 8 | A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. | NVIDIA/ | 3.5k | 1 repo | ~4.5k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | Install NVIDIA NIM Operator on Kubernetes with prerequisite checks, optional NVIDIA GPU Operator dependency installation, public or local Helm chart selection, optional Dynamo support, and optional… | NVIDIA/ | 159 | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 10 | Kaizen UI (KUI) component library and design-pattern advisor for NVIDIA applications. | NVIDIA/ | 1.6k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | today |
| 11 | Investigates a failing GitHub Actions run or job for Megatron-LM, finds the root cause plus the PR and test author involved, and files a structured bug issue. | NVIDIA/ | 18k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 12 | Analyze retained NemoClaw CI timings for slow CLI tests, runner queues, or base-image publication. | NVIDIA/ | 23k | — | ~644 | Automated safety check: Pass | Apache-2.0 | today |
| 13 | Safely uninstall NVIDIA NIM Operator from Kubernetes with inventory checks, explicit approval gates for destructive actions, optional custom resource cleanup, optional CRD removal, and… | NVIDIA/ | 159 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 14 | A skill your agent uses when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment. | NVIDIA/ | 1.9k | — | ~116 | Automated safety check: Pass | Apache-2.0 | 18 days ago |
| 15 | Create a new model wrapper for the PhysicsNeMo CFD benchmarking workflow. | NVIDIA/ | 153 | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 16 | Multi-agent PR review using Claude Code, Codex, and CodeRabbit. | NVIDIA/ | 432 | — | ~15k | Automated safety check: Pass | Apache-2.0 | today |
| 17 | Guides moving Megatron Core GPTModel checkpoints, configs, training commands and launch scripts to HybridModel, following the repository's migration document. | NVIDIA/ | 18k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 18 | Analyze one NemoClaw PR lifetime to identify contributor, review, and automation delays or compare it with a latency target. | NVIDIA/ | 23k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 19 | Use BEFORE running a full CompileIQ search. An agent skill from NVIDIA/CompileIQ. | NVIDIA/ | 137 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | 14 days ago |
| 20 | Start up, tear down, and configure the local Kubernetes development environment for OpenShell. | NVIDIA/ | 15k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | today |
| 21 | A skill your agent uses when analyzing an AICR snapshot YAML file, reviewing cluster state, comparing provider characteristics, extracting GPU/network topology insights, or generating a cluster… | NVIDIA/ | 432 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | today |
| 22 | Creates one-node GitHub merge-request variants of existing two-node GB200 functional tests in Megatron-LM, adjusting parallelism settings to fit four GPUs. | NVIDIA/ | 18k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 23 | Compare competing NemoClaw PRs for one issue and recommend a merge or salvage candidate from review evidence. | NVIDIA/ | 23k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 24 | A skill your agent uses when starting a fresh CompileIQ project, hitting a socket timeout, or before running any other compileiq- skill. | NVIDIA/ | 137 | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | 14 days ago |
| 25 | Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything. | NVIDIA/ | 3.5k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | today |
| 26 | Create a custom metric for the PhysicsNeMo CFD benchmarking workflow. | NVIDIA/ | 153 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 27 | Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis. | NVIDIA/ | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 28 | Draft a post-tag NemoClaw Announcement from the verified release range and shipped PRs. | NVIDIA/ | 23k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 29 | A skill your agent uses when migrating applications, examples, integrations, documentation, manifests, or repository code from NeMo Flow to NeMo Relay across Python, Rust, Node.js, Go, C FFI, CLI… | NVIDIA/ | 190 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 30 | A skill your agent uses when something is wrong: Search() hangs, all evaluations return INVALIDSCORE, scores aren't improving, every config returns the same number, ptxas errors fill the log, CV% is… | NVIDIA/ | 137 | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | 14 days ago |
| 31 | Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server. | NVIDIA/ | 3.5k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | today |
| 32 | Create a new dataset adapter for the PhysicsNeMo CFD benchmarking workflow. | NVIDIA/ | 153 | — | ~3k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 33 | A skill your agent uses when building a self-contained HTML slide deck or visual talking-point for a technical concept or workflow (e.g. | NVIDIA/ | 432 | — | ~1k | Automated safety check: Pass | Apache-2.0 | today |
| 34 | Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling. | NVIDIA/ | 3.5k | — | ~5k | Automated safety check: Notes | Apache-2.0 | today |
| 35 | Set up a K3s cluster on an NVIDIA GPU host, connect it to Azure Arc, and configure Azure ML to use it as a Kubernetes compute target. | microsoft/ | 122 | — | ~5.7k | Automated safety check: Notes | MIT | today |
| 36 | Validate the staging NemoClaw Brev Launchable through its web journey or a deployed environment. | NVIDIA/ | 23k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | today |
| 37 | Review rubric for the /review pull-request command. An agent skill from NVIDIA/Megatron-LM. | NVIDIA/ | 18k | — | ~839 | Automated safety check: Pass | Apache-2.0 | today |
| 38 | Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download. | NVIDIA/ | 3.5k | — | ~4.7k | Automated safety check: Notes | Apache-2.0 | today |
| 39 | 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 |
| 40 | A skill your agent uses when reviewing the weekly AICR component drift report — the Slack digest and drift-report.json artifact produced by Registry Drift Report (registry-drift.yaml) listing which… | NVIDIA/ | 432 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 41 | 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/ | 912 | 1 repo | ~910 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 42 | Author or edit NeMo Relay documentation or examples when repository-specific MDX, public API, integration, or release-history conventions matter. | NVIDIA/ | 190 | — | ~710 | Automated safety check: Pass | Apache-2.0 | today |
| 43 | 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/ | 3.5k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | today |
| 44 | Runs the Megatron-LM autoformat script and its linting tools before a pull request, and keeps Python imports in order with isort. | NVIDIA/ | 18k | — | ~317 | Automated safety check: Pass | Apache-2.0 | today |
| 45 | 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/ | 3.5k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | today |
| 46 | Classify one failed NemoClaw GitHub Actions job using bounded, redacted logs and optional retained artifacts. | NVIDIA/ | 23k | — | ~806 | Automated safety check: Pass | Apache-2.0 | today |
| 47 | Guide for developing the OpenShell TUI — a ratatui-based terminal UI for the OpenShell platform. | NVIDIA/ | 15k | — | ~8.5k | Automated safety check: Pass | Apache-2.0 | today |
| 48 | A skill your agent uses when picking the searchspace= argument for Search(). | NVIDIA/ | 137 | — | ~1.9k | Automated safety check: Notes | Apache-2.0 | 14 days ago |
Questions, answered from the data.
What is the best NVIDIA AI Platform skill?
Skill Inspector (official) from NVIDIA/SkillSpector ranks first of the 452 NVIDIA AI Platform skills listed here, with the highest score: its repository has 20k GitHub stars, its SKILL.md loads about 1.8k tokens and it passes the automated safety check with no findings. Next come Nemoclaw Maintainer Normalize Title Tags and Megatron-LM Container and Dependency Setup.
Is there an official NVIDIA AI Platform skill?
276 of the 452 NVIDIA AI Platform skills are official, published by the vendor's own GitHub organization: Skill Inspector, Nemoclaw Maintainer Normalize Title Tags, Megatron-LM Container and Dependency Setup, Nemoclaw Contributor Update Dependencies, Megatron-LM Base Image Bump and 271 more.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.