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",[],[707,708,709,710],{"slug":32,"name":33},{"slug":29,"name":30},{"slug":5,"name":6},{"slug":233,"name":711},"Security","2026-07-14T05:36:09.251774",{"name":714,"fullName":715,"repoUrl":716,"skillCount":392,"stars":717,"forks":208,"description":718,"topics":719,"topTags":720,"topTagCount":192,"lastUpdatedAt":725},"holodeck","NVIDIA\u002Fholodeck","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fholodeck",31,"Holodeck is a project to create test environments optimised for GPU projects.",[],[721,722,723,724],{"slug":243,"name":244},{"slug":446,"name":447},{"slug":5,"name":6},{"slug":116,"name":117},"2026-07-14T05:36:29.548299",{"name":727,"fullName":728,"repoUrl":729,"skillCount":392,"stars":730,"forks":731,"description":732,"topics":733,"topTags":734,"topTagCount":192,"lastUpdatedAt":741},"infra-controller","NVIDIA\u002Finfra-controller","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Finfra-controller",226,150,"NVIDIA Infra Controller - Hardware Lifecycle Management and multitenant networking",[],[735,736,737,738],{"slug":159,"name":160},{"slug":29,"name":30},{"slug":5,"name":6},{"slug":739,"name":740},"rest-api","REST API","2026-07-14T05:32:52.235912",{"name":743,"fullName":744,"repoUrl":745,"skillCount":392,"stars":190,"forks":478,"description":746,"topics":747,"topTags":748,"topTagCount":192,"lastUpdatedAt":753},"NeMo-Fabric","NVIDIA\u002FNeMo-Fabric","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNeMo-Fabric","Project NVIDIA NeMo Fabric",[],[749,750,751,752],{"slug":88,"name":89},{"slug":29,"name":30},{"slug":5,"name":6},{"slug":116,"name":117},"2026-07-23T06:06:22.954737",{"name":755,"fullName":756,"repoUrl":757,"skillCount":392,"stars":758,"forks":759,"description":760,"topics":761,"topTags":766,"topTagCount":478,"lastUpdatedAt":774},"NemoClaw","NVIDIA\u002FNemoClaw","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw",21777,2940,"Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference",[762,763,5,228,764,627,765],"ai-agents","hermes","openshell","typescript",[767,768,771],{"slug":85,"name":86},{"slug":769,"name":770},"mcp","MCP",{"slug":772,"name":773},"search","Search","2026-07-20T06:00:01.461044",{"name":776,"fullName":777,"repoUrl":778,"skillCount":392,"stars":779,"forks":780,"description":781,"topics":782,"topTags":783,"topTagCount":478,"lastUpdatedAt":789},"nvidia-kaggle","NVIDIA\u002Fnvidia-kaggle","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fnvidia-kaggle",253,22,"NVIDIA Kaggle Plugin gives agents end-to-end Kaggle competition workflows through a single skill, nvidia-kaggle-skill. It can gather competition context, study public writeups and notebooks, reproduce kernels locally, submit to competitions, and manage Ka",[],[784,785,786],{"slug":41,"name":42},{"slug":5,"name":6},{"slug":787,"name":788},"research","Research","2026-07-14T05:36:16.524177",{"name":791,"fullName":792,"repoUrl":793,"skillCount":392,"stars":794,"forks":795,"description":612,"topics":796,"topTags":797,"topTagCount":192,"lastUpdatedAt":802},"OpenShell-Community","NVIDIA\u002FOpenShell-Community","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FOpenShell-Community",172,63,[],[798,799,800,801],{"slug":243,"name":244},{"slug":29,"name":30},{"slug":107,"name":108},{"slug":739,"name":740},"2026-07-14T05:36:26.866398",{"name":804,"fullName":805,"repoUrl":806,"skillCount":392,"stars":392,"forks":392,"description":807,"topics":808,"topTags":809,"topTagCount":192,"lastUpdatedAt":816},"paidf-augmentation","NVIDIA\u002Fpaidf-augmentation","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fpaidf-augmentation","Containerized generative-AI pipeline that transforms video, image, and text inputs into large, diverse, physically grounded datasets for model training and evaluation",[],[810,813,814,815],{"slug":811,"name":812},"data-engineering","Data Engineering",{"slug":41,"name":42},{"slug":5,"name":6},{"slug":38,"name":39},"2026-07-14T05:36:30.828379",{"name":818,"fullName":819,"repoUrl":820,"skillCount":392,"stars":592,"forks":392,"description":821,"topics":822,"topTags":823,"topTagCount":192,"lastUpdatedAt":828},"paidf-auto-labeling","NVIDIA\u002Fpaidf-auto-labeling","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fpaidf-auto-labeling","Auto-labeling pipeline that turns raw video and images into fine-tuning-ready scenes via super-resolution, detection and tracking, VLM scene understanding, and question generation",[],[824,825,826,827],{"slug":53,"name":54},{"slug":269,"name":270},{"slug":559,"name":560},{"slug":5,"name":6},"2026-07-14T05:32:21.766434",{"name":830,"fullName":831,"repoUrl":832,"skillCount":392,"stars":391,"forks":392,"description":833,"topics":834,"topTags":835,"topTagCount":192,"lastUpdatedAt":840},"paidf-simulation","NVIDIA\u002Fpaidf-simulation","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fpaidf-simulation","Synthetic data generation engine using NVIDIA Isaac Sim and Omniverse Replicator to render photorealistic, fully labeled PCB inspection imagery, including golden and defect boards",[],[836,837,838,839],{"slug":811,"name":812},{"slug":559,"name":560},{"slug":5,"name":6},{"slug":38,"name":39},"2026-07-14T05:36:25.595046",{"name":842,"fullName":843,"repoUrl":844,"skillCount":392,"stars":845,"forks":846,"description":847,"topics":848,"topTags":849,"topTagCount":192,"lastUpdatedAt":856},"TileGym","NVIDIA\u002FTileGym","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FTileGym",770,79,"Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming",[],[850,851,852,853],{"slug":29,"name":30},{"slug":5,"name":6},{"slug":35,"name":36},{"slug":854,"name":855},"rust","Rust","2026-07-14T05:33:14.807388",{"name":858,"fullName":859,"repoUrl":860,"skillCount":392,"stars":861,"forks":862,"description":863,"topics":864,"topTags":867,"topTagCount":478,"lastUpdatedAt":871},"torch-harmonics","NVIDIA\u002Ftorch-harmonics","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Ftorch-harmonics",686,69,"Differentiable signal processing on the sphere for PyTorch",[41,273,865,866],"signal-processing","sphere",[868,869,870],{"slug":85,"name":86},{"slug":29,"name":30},{"slug":5,"name":6},"2026-07-14T05:32:03.82994",{"items":873,"total":190},[874,885,896,910,922,936,948,959,971,985],{"slug":875,"name":875,"fn":876,"description":877,"org":878,"tags":879,"stars":191,"repoUrl":189,"updatedAt":209},"k8s-launch-kit-config","configure k8s-launch-kit clusters","Use this skill when the user needs help understanding, creating, or editing a k8s-launch-kit (l8k) configuration file (l8k-config.yaml or cluster-config.yaml). Activate for: config file questions, parameter tuning, subnet configuration, NV-IPAM setup, DOCA driver settings, maintenance concurrency, NIC configuration operator settings, changing MTU, VFs, resource names, or understanding what any config field does.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[880,882,883,884],{"name":206,"slug":205,"type":881},"tag",{"name":33,"slug":32,"type":881},{"name":198,"slug":197,"type":881},{"name":6,"slug":5,"type":881},{"slug":886,"name":886,"fn":887,"description":888,"org":889,"tags":890,"stars":191,"repoUrl":189,"updatedAt":895},"k8s-launch-kit-deploy","deploy NVIDIA networking manifests to Kubernetes","Use this skill when the user wants to deploy generated NVIDIA networking manifests to a Kubernetes cluster using k8s-launch-kit (l8k). Activate for: applying manifests, deploying to cluster, the `l8k deploy` subcommand or the legacy --deploy flag on `l8k generate`, applying generated files, or any mention of pushing l8k output to a live cluster. Even if the user just says 'apply these' or 'push to cluster' after generating manifests, use this skill.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[891,892,893,894],{"name":33,"slug":32,"type":881},{"name":198,"slug":197,"type":881},{"name":202,"slug":201,"type":881},{"name":6,"slug":5,"type":881},"2026-07-14T05:31:50.114923",{"slug":897,"name":897,"fn":898,"description":899,"org":900,"tags":901,"stars":191,"repoUrl":189,"updatedAt":909},"k8s-launch-kit-discover","discover Kubernetes cluster network hardware capabilities","Use this skill when the user wants to discover their Kubernetes cluster's network hardware capabilities using k8s-launch-kit (l8k). Activate for: cluster discovery, hardware detection, NIC detection, finding what GPUs or NICs are in a cluster, creating a cluster config file, or when the user says 'discover' in the context of l8k or NVIDIA networking.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[902,903,904,905,906],{"name":51,"slug":50,"type":881},{"name":198,"slug":197,"type":881},{"name":202,"slug":201,"type":881},{"name":6,"slug":5,"type":881},{"name":907,"slug":908,"type":881},"Operations","operations","2026-07-14T05:31:58.825512",{"slug":911,"name":911,"fn":912,"description":913,"org":914,"tags":915,"stars":191,"repoUrl":189,"updatedAt":921},"k8s-launch-kit-dryrun","preview NVIDIA networking deployment changes","Use this skill when the user wants to preview what k8s-launch-kit (l8k) would deploy without making changes, or wants to safely validate their configuration before applying. Activate for: dry-run, preview, validation, 'what would happen if', testing configurations, schema discovery, checking generated manifests, or any cautious pre-deployment step. Also use when the user asks 'is my config valid' or 'show me what would be created' -- even without mentioning dry-run explicitly.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[916,917,918,919,920],{"name":206,"slug":205,"type":881},{"name":33,"slug":32,"type":881},{"name":198,"slug":197,"type":881},{"name":202,"slug":201,"type":881},{"name":6,"slug":5,"type":881},"2026-07-14T05:31:56.325698",{"slug":923,"name":923,"fn":924,"description":925,"org":926,"tags":927,"stars":191,"repoUrl":189,"updatedAt":935},"k8s-launch-kit-generate","generate Kubernetes manifests for NVIDIA networking","Use this skill when the user wants to generate Kubernetes YAML manifests for NVIDIA networking deployment using k8s-launch-kit (l8k). Activate for: manifest generation, profile selection, choosing between SR-IOV\u002Fhost-device\u002FRDMA-shared\u002FIPoIB\u002FMacVLAN\u002FSpectrum-X, creating deployment files, or when the user asks 'which profile should I use' or needs help choosing a network configuration.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[928,929,930,931,932],{"name":33,"slug":32,"type":881},{"name":198,"slug":197,"type":881},{"name":202,"slug":201,"type":881},{"name":6,"slug":5,"type":881},{"name":933,"slug":934,"type":881},"YAML","yaml","2026-07-14T05:31:51.352013",{"slug":937,"name":937,"fn":938,"description":939,"org":940,"tags":941,"stars":191,"repoUrl":189,"updatedAt":947},"k8s-launch-kit-pipeline","run end-to-end NVIDIA networking deployment pipelines","Use this skill when the user wants to run the full k8s-launch-kit (l8k) pipeline end-to-end: discover cluster hardware, select a profile, generate manifests, and deploy them all in one command. Also activate for CI\u002FCD integration, automation pipelines, 'one-liner', 'complete workflow', or end-to-end NVIDIA networking deployment.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[942,943,944,945,946],{"name":54,"slug":53,"type":881},{"name":33,"slug":32,"type":881},{"name":198,"slug":197,"type":881},{"name":202,"slug":201,"type":881},{"name":6,"slug":5,"type":881},"2026-07-14T05:31:55.07782",{"slug":949,"name":949,"fn":950,"description":951,"org":952,"tags":953,"stars":191,"repoUrl":189,"updatedAt":958},"k8s-launch-kit-shared","manage NVIDIA k8s-launch-kit CLI patterns","k8s-launch-kit (l8k) CLI: Shared patterns for binary location, global flags, output formatting, exit codes, and error handling. Read this before using any other k8s-launch-kit skill.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[954,955,956,957],{"name":244,"slug":243,"type":881},{"name":30,"slug":29,"type":881},{"name":198,"slug":197,"type":881},{"name":6,"slug":5,"type":881},"2026-07-14T05:32:01.309487",{"slug":960,"name":960,"fn":961,"description":962,"org":963,"tags":964,"stars":191,"repoUrl":189,"updatedAt":970},"k8s-launch-kit-troubleshoot","troubleshoot NVIDIA Network Operator deployments","Use this skill when the user has problems with NVIDIA Network Operator on Kubernetes, or wants to analyze a sosreport diagnostic dump. Activate for: OFED driver crashes, SR-IOV pods failing, NicClusterPolicy errors, network operator pod issues, RDMA not working, NIC configuration failures, pods stuck in CrashLoopBackOff or ContainerCreating with network annotations, VF allocation issues, or when the user mentions 'troubleshoot', 'debug', 'sosreport', 'diagnose', or describes any NVIDIA networking failure -- even if they don't explicitly ask for troubleshooting.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[965,966,967,968,969],{"name":89,"slug":88,"type":881},{"name":198,"slug":197,"type":881},{"name":202,"slug":201,"type":881},{"name":6,"slug":5,"type":881},{"name":907,"slug":908,"type":881},"2026-07-14T05:31:52.594088",{"slug":972,"name":972,"fn":973,"description":974,"org":975,"tags":976,"stars":191,"repoUrl":189,"updatedAt":984},"k8s-launch-kit-validate","validate NVIDIA networking deployment configurations","Use this skill when the user wants to verify that an NVIDIA networking deployment matches the configuration that produced it. Activate for: 'is my deployment correct', 'are all the manifests applied', 'does the network operator version match', 'verify deployment', 'check cluster state against config', or any question about whether the cluster reflects what l8k generated. Wraps the `l8k validate` subcommand.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[977,980,981,982,983],{"name":978,"slug":979,"type":881},"Audit","audit",{"name":198,"slug":197,"type":881},{"name":202,"slug":201,"type":881},{"name":6,"slug":5,"type":881},{"name":114,"slug":113,"type":881},"2026-07-14T05:31:53.835611",{"slug":986,"name":986,"fn":987,"description":988,"org":989,"tags":990,"stars":191,"repoUrl":189,"updatedAt":998},"k8s-network-engineer","provide expert NVIDIA networking engineering guidance","Embody a senior NVIDIA Networking Engineer who is an expert on deploying cloud-native networking on Kubernetes with k8s-launch-kit (l8k). Activate whenever the user mentions NVIDIA network profiles, SR-IOV, RDMA, Spectrum-X, BlueField, ConnectX, NIC configuration, Network Operator, DOCA drivers, multirail networking, l8k, k8s-launch-kit, or any Kubernetes networking topic involving NVIDIA hardware. Also activate when the user asks general questions about high-performance networking, GPU interconnect, or RDMA configuration.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[991,994,995,996,997],{"name":992,"slug":993,"type":881},"Architecture","architecture",{"name":30,"slug":29,"type":881},{"name":198,"slug":197,"type":881},{"name":202,"slug":201,"type":881},{"name":6,"slug":5,"type":881},"2026-07-14T05:31:57.580192"]