dgx-station-diagnoseRun and interpret the complete read-only dgx-assist diagnostic suite for NVIDIA DGX Station GB300, correlate findings with pinned NVIDIA playbooks, export a redacted support bundle, and apply one separately approved allowlisted fix. Use when the user reports…dgx-station-inferenceResolve, tune, preflight, launch, verify, inspect, and stop exact-model inference on NVIDIA DGX Station through dgx-assist. Use for vLLM or SGLang container selection, NGC versus upstream, GPU memory utilization, CPU or KV offload, HBM fit, KV-cache sizing,…dgx-station-migInspect NVIDIA DGX Station GB300 MIG state and installed-driver profiles, create a digest-bound layout plan, disclose disruption and restoration, and apply an approved still-valid plan. Use when the user asks to enable, disable, partition, reconfigure,…dgx-stationInspect and guide NVIDIA DGX Station GB300 development using the local dgx-assist CLI and pinned NVIDIA playbooks. Use for general Station platform questions, Software 1.0 or 2.0 compatibility, GB300 or RTX GPU selection, UUID ordering, mixed ATS/HMM…mig-configureConfigure NVIDIA MIG (Multi-Instance GPU) partitions on the DGX Station GB300, including enabling MIG mode, choosing a profile layout, creating instances, and retrieving MIG UUIDs. Use when the user asks to partition the GB300, set up MIG, run multiple models…dgx-diagnoseDiagnose common DGX Station GB300 issues — CUDA crashes, wrong-GPU targeting, vLLM/SGLang container bugs, MIG state problems, NVLink/Fabric Manager errors, X/Vulkan failures, HuggingFace auth, and port conflicts. Use when the user reports a GPU error,…sglang-setupDeploy an SGLang inference server on an NVIDIA DGX Station GB300 with the cu130 container, RadixAttention prefix caching, and structured JSON output support. Use when the user asks to serve a model with SGLang, start an SGLang endpoint, or needs…vllm-setupDeploy a vLLM inference server on an NVIDIA DGX Station GB300 with validated container, GPU targeting, and tuning parameters. Use when the user asks to serve a model with vLLM, start a vLLM endpoint, or set up OpenAI-compatible inference on DGX Station.
リポジトリエクスプローラー
NVIDIA · リポジトリと代表的な skills - 2ページ
87 件の GitHub リポジトリにある 961 件の収集済み skills をリポジトリ単位で表示します。
mcore-cicdCI/CD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request/BRANCH ref — always dry-run and verify the destination first; never run against shared or…update-golden-valuesRefresh golden values from a GitHub Actions workflow run (failing-only or all jobs), calculate signed per-model percentage changes, and produce a PR-ready summary. Use when the user asks to update goldens for a CI run, refresh golden values from a workflow…mcore-split-prSplit a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.mcore-migrate-gpt-to-hybridMigration guide for moving Megatron Core GPTModel checkpoints, model providers, training commands, and layer mappings to HybridModel, including the mechanical steps for transferring an existing pretrain_gpt.py launch script.nightly-syncDomain knowledge for the nightly main-to-dev sync workflow. Covers merge strategy, CI architecture, failure investigation, and known issues.mcore-build-and-dependencyContainer-based dev environment setup and dependency management for Megatron-LM. Covers acquiring and launching the CI container, uv package management, and updating uv.lock.mcore-bump-base-imageBump the NVIDIA PyTorch base image (`nvcr.io/nvidia/pytorch:YY.MM-py3`) used by Megatron-LM CI. Covers the two pin sites (GitHub CI in `docker/.ngc_version.dev` and GitLab CI in `.gitlab/stages/01.build.yml`), the post-bump CI loop (re-run functional tests,…mcore-create-issueInvestigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
kit-app-streaming-debugUse when investigating Kit app livestream performance bottlenecks, WebRTC/native StreamSDK lag, freezes, dropped frames, browser WebRTC stats, copy fence timeouts, NVST_R_BUSY, disconnects, or resolution mismatch warnings in omni.kit.livestream.nvtx-pythonProfile Python functions with NVTX in non-Kit environments (Isaac Lab 3.0+ standalone, any Python app without Carbonite). Uses a bundled PYTHONPATH-scoped sitecustomize.py with sys.setprofile hook, NVTX push/pop ranges, module include/exclude filtering, and…perf-tuningResolve common Kit/Isaac Sim/Isaac Lab performance issues using specific settings and configuration changes. Covers PresentFrame stalls, resolveSamplerFeedback, headless mode, multi-GPU tradeoffs, DLSS/DLSS-G, PhysX tuning, RTX presets…install-profilersInstall profiling tools for Isaac Sim / Isaac Lab / Kit-based applications. Covers Nsight Systems (`nsys` CLI), `sqlite3`, Tracy `csvexport`, canonical Tracy `capture`/`capture-release`, and `update` for memory strip tests, with optional…nsys-analyzeAnalyze profiling data from Kit-based apps. Covers Omniverse-specific NVTX zone interpretation, phase detection using sqlite3, Tracy Statistics/Range Limit analysis, csvexport fallback queries, and two-version comparison methodology. Use after capturing…profiling-apiAdd profiling zones, metrics, and annotations to Kit-based C++ and Python code. Covers Carbonite macros (CARB_PROFILE_ZONE, CARB_PROFILE_FUNCTION, GPU zones), Python profiler API (decorators, begin/end), profiler masks, channels, Tracy plot data, event…profilingCapture performance traces using CPU ChromeTrace, Tracy, and Nsight Systems/NVTX for Kit-based applications (Isaac Sim, Isaac Lab, Kit SDK). Covers COLD/WARM/TRACY measurement separation, canonical Tracy capture sequence, last-resort force-kill handling, nsys…tracy-memoryProfile CPU and GPU memory allocations using Tracy in Kit-based applications after Tracy capture tooling is installed. Covers LD_PRELOAD setup for liballocwrapper.so, Kit memory-channel flags, capture binary isolation (unset LD_PRELOAD), tracy-update…
nvflare-autofl-reportGenerate a reproducible final report, literature-outcome synthesis, JSON summary, and refreshed progress plot for a stopped or interrupted NVFLARE Auto-FL campaign.nvflare-autoflUse for agent-assisted Auto-FL optimization of an existing NVFLARE job in simulation, POC, or production. Do not use for code conversion, diagnosis-only work, or deployment setup.nvflare-convert-huggingfaceConvert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names Hugging Face or preliminary source inspection identifies one…nvflare-convert-lightningConvert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use only when the request names federated/NVFLARE conversion or asks multiple sites to train collaboratively…nvflare-convert-pytorchConvert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use when the user names plain PyTorch or preliminary source inspection identifies one plain-PyTorch owner,…nvflare-diagnose-jobUse when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION, or produced suspicious errors. Diagnose in simulation, POC, or production by collecting bounded…nvflare-fed-statsCompute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count, failure_count, pixel-intensity histogram) across NVFLARE sites via FedStatsRecipe — automatic and…nvflare-orientRoute open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete conversion request before selecting its detected framework…
nvcf-self-managed-cliInstall, operate, and tear down self-hosted NVIDIA Cloud Functions (NVCF) deployments with nvcf-cli. Use for control-plane or compute-plane install, status checks, cluster registration, function deploy/invoke, task create/list/cancel/delete, API keys, admin…nvca-values-customizationCustomize NVCA Operator Helm chart values in the native monorepo. Use when modifying vendored defaults, changing stack-derived install values, adding deployment-time overrides, or updating scripts under deploy/helm/nvca-operator.add-featureAdd a new UI feature to the nvcf-ui app — folder structure, routing, data loading, lazy-loading, testing, and completion checklist. Use when creating a new feature folder, adding a page or view, wiring routes, building a new screen, or deciding whether to…codegenRun and manage the Orval code generation pipeline for API hooks, TypeScript models, and MSW mocks. Use when editing an OpenAPI spec, running task generate, adding or modifying MSW scenarios, troubleshooting generated code, or when generated hooks are missing…runStart the nvcf-ui development server. Use when asked to run, start, or launch the app, or to verify a change works in the browser.testingWriting frontend tests for the nvcf-ui app — Vitest, Testing Library, MSW, and project-specific render helpers. Use when creating test files, writing component tests, setting up MSW handlers in tests, deciding which render helper to use, or when the user is…nvca-chart-releaseRelease NVCA Operator chart changes from the native monorepo source to the vendored Helm chart. Use when updating the vendored NVCA Operator chart, changing NVCA image refs, publishing helm-nvca-operator, or validating the chart against a self-managed control…nvca-self-managed-installInstall or validate the NVCA Operator chart against a self-managed NVCF control plane from the native monorepo. Use when the control plane comes from deploy/stacks/self-managed and NVCA must be installed with stack-derived image repository settings.
nvalchemi-dynamics-apiHow to configure and run dynamics simulations, compose multi-stage pipelines (FusedStage, DistributedPipeline), use inflight batching, and manage data sinks. Use when writing any simulation script — molecular dynamics (NVE/NVT), structure relaxation or…nvalchemi-data-storageHow to write, read, compose, and load atomic data using nvalchemi's composable Zarr-backed storage pipeline (Writer, Reader, Dataset, MultiDataset, DataLoader). Use when saving simulation outputs or trajectories to disk, converting structures (e.g. ASE /…nvalchemi-distributedHow to run domain-decomposed (multi-GPU) MLIP simulations with DomainParallel — choose between the halo and graph-partition strategies, author a distribution_spec so a bring-your-own model runs under domain decomposition, and write a custom dynamics…nvalchemi-dynamics-hooksHow to use and write dynamics hooks — callbacks that observe or modify batch state at specific points during each simulation step. Use when a simulation needs neighbor-list rebuilds, convergence checks or early stopping, temperature control, per-step logging…nvalchemi-dynamics-implementationHow to implement a dynamics integrator by subclassing BaseDynamics and overriding pre_update() and post_update() methods. Use when creating a custom integrator, optimizer, or sampler that the built-in stages do not provide; for configuring existing dynamics,…nvalchemi-loss-apiHow to use built-in loss functions and implement custom losses using the BaseLossFunction template-method pattern — residual types, per-atom normalization, masking, and graph-balanced reductions. Use when choosing or weighting energy, force, or stress…nvalchemi-model-wrappingHow to wrap an arbitrary MLIP (Machine Learning Interatomic Potential) using the BaseModelMixin interface to standardize inputs, outputs, and embeddings. Use when integrating a model such as MACE or AIMNet2 (e.g. MACEWrapper, loading pretrained checkpoints)…nvalchemi-reportingHow to add observability to nvalchemi dynamics and training workflows using ReportingOrchestrator, RichReporter, TensorBoardReporter, scalar extraction, custom reporter callbacks, and dynamics LoggingHook. Use when showing live progress, writing TensorBoard…
nat-telemetryUse when adding, configuring, or troubleshooting NeMo Agent Toolkit logging, tracing, telemetry exporters, OpenTelemetry, Langfuse, LangSmith, Weave, Phoenix, profiling, or observability provider integrations.skill-evolutionUse before creating, editing, or deciding whether to update any AI coding agent skill in this repository, including corrections to existing skill behavior, references, or routing.nat-agent-configurationUse when selecting, configuring, composing, or troubleshooting NeMo Agent Toolkit agents and control-flow components, including ReAct, tool-calling, ReWOO, reasoning, router, sequential, parallel, and sub-agent patterns.nat-evaluationUse when designing, configuring, running, or troubleshooting NeMo Agent Toolkit evaluations, datasets, evaluator selection, ATIF surfaces, quality gates, custom evaluators, and `nat eval`.nat-installationUse when installing or configuring NVIDIA NeMo Agent Toolkit, verifying the `nat` CLI, setting up optional extras, or creating a first hello-world workflow.nat-mcp-and-servingUse when serving NeMo Agent Toolkit workflows, exposing workflows through FastAPI, configuring MCP clients or servers, or troubleshooting transport and server setup.nat-optimizationUse when configuring or running NeMo Agent Toolkit optimization with `nat optimize`, including Optuna parameter tuning, prompt evolution, optimizer sizing, output interpretation, and optimizer datasets.nat-path-checksUse when fixing NeMo Agent Toolkit documentation path-check failures, especially failed `ci/scripts/path_checks.py` output, slash-delimited text mistaken for paths, relative path references, Markdown code escaping, and path-check allowlist decisions.
debug-trt-mismatchUse when TensorRT output diverges from a model reference, model-first validation fails, generated text or media is wrong, or a family change introduces a numerical mismatch. Routes the investigation by model modality and escalates from the first divergent…doc-syncUse for documentation maintenance scans that keep the canonical website journey, repo-local skills, commands, API reference, architecture and design, extension guides, feature context, ADRs, and traceability status aligned with the current GitHub main branch.…pr-babysitterUse when monitoring GitHub pull request CI, diagnosing failed checks, rebasing branches onto github/main, applying narrowly scoped fixes, and updating PRs until their latest checks are green or a human blocker is identified.submit-github-bug-issueUse when converting QA findings, black-box failures, red-team reports, regression evidence, or local bug notes into GitHub Issues for NVIDIA/TensorRT-Model-Connect. Standardizes checking issue templates, checking labels, de-duplicating existing issues,…submit-github-prUse when publishing an existing TensorRT-Model-Connect change as a GitHub pull request. Verifies authenticated repository access, branch and diff scope, validation evidence, commit identity, reviewer-facing text, exact pushed head, and the created draft PR…write-git-messagesDraft, revise, or review Git commit messages, PR titles, PR descriptions, and squash or rebase merge messages. Use when Codex needs to summarize a diff for reviewers, convert rough notes into a commit or PR message, check a message against Git and…fp16-trt-networkUse when adding, reviewing, or debugging FP16/BF16 precision in a family-owned, strongly typed TensorRT network. Covers dtype threading, explicit FP32 boundaries, typed constants, compact GQA/MQA state, bundle evidence, and low-precision validation.optimize-model-precisionUse when evaluating FP16, BF16, or supported quantization formats for a TensorRT-Model-Connect model. Establishes a model-owned correctness baseline, changes one effective build option at a time, detects ineffective precision, and retains comparable parity,…
k8s-launch-kit-deployUse 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…k8s-launch-kit-generateUse 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…k8s-launch-kit-troubleshootUse 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…k8s-launch-kit-configUse 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…k8s-launch-kit-discoverUse 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…k8s-network-engineerEmbody 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…k8s-launch-kit-validateUse 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…k8s-launch-kit-sharedk8s-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.
accelerated-computing-cudfOfficial 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.debug-cudf-pandasDebug and fix pandas test suite failures under the cudf.pandas compatibility layer. Use when given pytest node IDs of failing pandas tests that need to be fixed for cudf.pandas compatibility.perf-compare-cudfBenchmark a cuDF branch, WIP changes, or a PR against the `main` branchreproduce-ciReproduce cudf CI failures locally. Provide a GitHub Actions job URL to auto-discover parameters, or supply the container image and CI script directly.review-cudfUse this skill to review GitHub pull requests for cudfbuild-test-cudf-javaBuild and test cudf Java bindings (cudf-java) inside a cudf devcontainer. Use when the user asks to build, compile, or test Java code in the cudf repository.update-narwhals-testingUse when updating Narwhals for cudf-polars and cudf testing in CIreview-cudf-polars-expressionsUse when implementing or reviewing support for Polars Expressions in cudf-polars
nvshmem-tune-performanceRoute NVSHMEM tuning to data collection, remote transport, NIC-to-PE mapping, or TMA. Do not use for unrelated CUDA, NCCL, or application tuning.nvshmem-collect-performance-dataCollect and package NVSHMEM put/get bandwidth, latency, and other perftest results with system and topology evidence for performance sanity checks.nvshmem-select-remote-transportSelect an NVSHMEM remote transport from target system and kernel evidence. Use for inter-node selection, compatibility checks, or configuration.nvshmem-configure-nic-pe-mappingRecommend NVSHMEM NIC-to-PE mappings and environment exports. Use for HCA selection, multi-NIC configuration, or topology-based mapping diagnostics.nvshmem-troubleshoot-and-report-bugsDiagnose NVSHMEM runtime failures and prepare bug reports for launch, initialization, crashes, hangs, correctness, transport, or topology issues.nvshmem-enable-tmaPrepare or review NVSHMEM CUDA kernels for TMA SMEM registration and direct-SMEM transfers. Do not use for unrelated CUDA tuning.nvshmem-get-startedGuide NVSHMEM beginners through fit assessment, mental models, first C/C++ or Python NVSHMEM programs, compilation, launching, and next steps. Use for onboarding.nvshmem-installPlan and validate NVSHMEM and NVSHMEM4Py installations. Use for package, container, or source deployments.
aicr-release-notesUse when drafting the human-readable GitHub release notes summary for an upcoming AICR release. Triggers on "release notes", "draft release notes", "/aicr-release-notes", or any request to summarize commits since the last tag into a polished release…aicr-cross-reviewMulti-agent PR review using Claude Code, Codex, and CodeRabbit. Runs parallel reviews with integration impact analysis, then one cross-review round to a 2-of-3 consensus, with every confirmed finding adversarially verified by a fresh agent. Never runs the…aicr-analyzing-snapshotsUse when analyzing an AICR snapshot YAML file, reviewing cluster state, comparing provider characteristics, extracting GPU/network topology insights, or generating a cluster assessment report from a snapshot. Triggers on: snapshot analysis, cluster review,…aicr-managing-openvexUse when adding, updating, or removing CVE/GHSA suppressions in `.openvex.json` — the OpenVEX document consumed by the weekly image vulnerability scan workflow. Triggers on "VEX", "OpenVEX", ".openvex.json", "suppress CVE", "ignore CVE", "vulnerability…aicr-uat-reportUse when reporting on UAT health across services and GPU targets — which service (EKS/GKE/AKS) x GPU (H100/GB200) x intent combinations are passing or failing in the UAT Run workflow (uat-run.yaml). Triggers on "UAT report", "/aicr-uat-report", "which UAT…aicr-triageUse when the user runs `/aicr-triage` or asks to triage, review, or clean up a GitHub org-level Projects v2 board (default NVIDIA AICR project 248). Reviews active non-Done issues, then promotes P2 issues to P1, demotes Ready items to Backlog, closes…aicr-auditing-docsUse when reviewing AICR's Markdown documentation for duplication, drift, bloat, and gaps — to keep docs high-value as the project evolves. Triggers on "audit the docs", "review documentation", "docs cleanup", "/aicr-auditing-docs", or any request to find…aicr-creating-guided-demosScaffolds an interactive guided demo script (demos/*.sh), live or self-paced, with the Frame → Tell → Show → Close pattern. Triggers on "demo script", "guided walkthrough", "demos/*.sh", "live demo".