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-reviewing-component-driftUse 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 recipes/registry.yaml chart pins have moved upstream. Triggers on "review this…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-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-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…
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NVIDIA · Repositórios e skills representativas - Página 3
Visão por repositório de 1.217 skills coletadas em 114 repositórios do GitHub.
trt-perf-analysisGenerate an interactive HTML performance report from existing TensorRT (TRT) layer-info and profile/latency JSON pairs, commonly named `layers_*.json` and `profile_*.json`. Use when the user has such dumps and wants to analyze or diagnose inference…deprecate-apiMark a Polygraphy function, class, module, or alias as deprecated so it warns at runtime and is scheduled for removal. Use when asked to deprecate an API, replace one API with another while keeping backwards compatibility, or add a deprecation warning.headless-screenshotsUse this skill when asked to take browser screenshots of web pages or web-based tools in a headless/automated way — especially when the page uses HTML canvas (e.g. Cytoscape.js, WebGL, Chart.js) and the screenshots need to show canvas-rendered content like…release-polygraphyPrepare a Polygraphy release by auditing all changes since the previous release, finalizing or adding the versioned CHANGELOG section, updating polygraphy/__init__.py, validating the release-only diff, and opening a GitLab merge request targeting develop. Use…testRun Polygraphy tests with the correct environment setup. Activates when asked to run tests, run the test suite, or run a specific test file. Also use this proactively after making code changes — e.g. after a refactor, bug fix, or any edit that could affect…trt-cpp-runtime-quickstartLoad and run a TensorRT engine (.plan / .engine) from C++ using the TensorRT 11 / 10.x **modern Runtime API**, avoiding the deprecated TRT 8.x binding-index APIs that older guidance still promotes. Use whenever the user asks about loading or running a…trt-onnx-quickstartBuild and verify a TensorRT engine from a Hugging Face model ID or ONNX file, with numerical parity checked against ONNX Runtime. Use when the user imports a non-LLM model to TensorRT, needs a verified engine from ONNX, hits trtexec "unsupported operator",…trt-strong-typing-migrationMigrate a TensorRT build from weak typing (deprecated 10.12, removed 11.0) to strong typing — across Python INetworkDefinition builders, the trtexec CLI, and C++ builder code. Use when a TRT 11 upgrade breaks a weakly-typed build. Triggers: weakly typed to…
earth2studio-create-datasourceCreate and validate Earth2Studio data source wrappers (DataSource, ForecastSource, DataFrameSource, ForecastFrameSource) from remote stores. May add Python dependencies to pyproject.toml as part of development. Do NOT use for fetching data with existing…earth2studio-create-diagnosticCreate Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics. Do NOT use for prognostic time-stepping models, data sources, or…earth2studio-create-prognosticCreate Earth2Studio prognostic (time-stepping forecast) model wrappers. Do NOT use for diagnostic models, data sources, or installation. The user may optionally supply a URL or a local path to a reference inference script.earth2studio-data-fetchFetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.earth2studio-deterministic-forecastBuild deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install.earth2studio-discoverFind Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.earth2studio-installGuide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Do NOT use for writing inference code, choosing models, or PhysicsNeMo questions.developer-release-rebasePrepare a new minor alpha release of Earth2Studio by rebasing the release candidate branch onto main, bumping the version, updating the changelog, updating the README latest-news highlights, stripping example version tags, and pushing for PR. Use when…
cosmos-automlOptimize Cosmos Framework reasoner SFT hyperparameters or evaluation prompts with bounded AutoML. Use for numerical, multi-fidelity, population or LLM-guided search, GEPA Auto-Prompter, and monitoring or resuming those experiments.cosmos3-codebase-navNavigate the Cosmos3 package codebase to find where parameters, configs, defaults, scripts, and documentation live. Use when the user asks "where is X in cosmos3", "how do I find the config for Y", "where are the defaults", "where do I change a parameter", or…cosmos3-codebase-navNavigate the Cosmos3 package codebase to find where parameters, configs, defaults, scripts, and documentation live. Use when the user asks "where is X in cosmos3", "how do I find the config for Y", "where are the defaults", "where do I change a parameter", or…cosmos3-env-troubleshootDiagnose and fix Cosmos3 environment, installation, and runtime errors. Use when the user encounters an ImportError, ModuleNotFoundError, CUDA error, Docker error, checkpoint download failure, or any traceback during setup or inference.cosmos3-inferenceGuide users through running Cosmos3 inference — offline batch generation, online serving with Ray and Gradio, parallelism options, input formats, sampling parameters, and prompt upsampling. Use when the user asks "how do I run inference", "how do I generate a…cosmos3-post-trainingGuide users through Cosmos3 supervised fine-tuning (SFT) post-training: preparing the example dataset and Wan2.2 VAE, converting the base checkpoint to DCP, launching distributed training (paired launch shell recommended, raw `torchrun` as an alternative),…cosmos3-setupGuide users through Cosmos3 installation, environment setup, checkpoint downloading, and verification. Use when the user asks "how do I install cosmos3", "how do I set up the environment", "how do I download checkpoints", "how do I use Docker", or any…cosmos3-env-troubleshootDiagnose and fix Cosmos3 environment, installation, and runtime errors. Use when the user encounters an ImportError, ModuleNotFoundError, CUDA error, Docker error, checkpoint download failure, or any traceback during setup or inference.
warp-closing-issueUse when the user provides Warp commit SHA(s) and GitHub issue number(s) to assess, draft issue comments, post progress updates, or recommend whether issue threads should stay open or close.warp-closing-issueUse when the user provides Warp commit SHA(s) and GitHub issue number(s) to assess, draft issue comments, post progress updates, or recommend whether issue threads should stay open or close.warp-release-notesUse when drafting GitHub release notes for a Warp feature or bugfix release from Towncrier fragments or a tagged final changelog.warp-changelog-auditUse when auditing and recovering Warp changelog fragments, finalizing a release changelog, or synchronizing a tagged release back to main.warp-release-auditUse when generating a Warp pre-release or release-candidate audit report from Towncrier fragments and release history.warp-compile-time-optimizerUse when compile time or startup time is the problem in code that uses Warp: a request to improve, optimize, or cut compile times; an app that is slow to start or stalls at the first wp.launch; seconds of compiling before real work begins; JIT modules…warp-debug-gradientsUse to diagnose and fix incorrect gradients in differentiable Warp programs. Anything trained, optimized, calibrated, or fit through Warp kernels depends on wp.Tape gradients, so treat any misbehavior of such a workflow as a gradient problem until proven…warp-evalEvaluate whether an existing hot path is a credible NVIDIA Warp candidate. Use for irregular or spatial queries, particle or geometry simulation, branch-heavy loops, many small launches, host fallbacks, or large intermediates. CPU-only code and absent GPU…
deploy-runai-kaiUse when adding or removing the optional KAI Scheduler or Run:ai platform on a DeepOps Kubernetes GPU cluster, enabling fractional-GPU scheduling, or diagnosing KAI/Run:ai install or scheduling failures.manage-model-cacheUse when preparing a shared Hugging Face model cache for Slurm or Kubernetes, pinning downloaded model revisions, validating offline model files, or diagnosing missing snapshots and cache permissions.validate-gpu-clusterCheck whether a DeepOps-deployed Slurm or Kubernetes GPU cluster is healthy and report a machine-readable verdict. Use for health checks, post-deploy verification, "is the cluster working?" questions, and after any node or driver change.provision-with-maasProvision or reinstall bare-metal servers and test VMs through Canonical MAAS, map deployed machines into DeepOps Ansible inventory with MAAS tags, validate access, or release them safely. Use when operating DeepOps with a MAAS-owned machine lifecycle.deploy-airgappedPrepare mirrors and transfer artifacts, configure DeepOps, deploy Slurm or Kubernetes GPU clusters without Internet access, and validate them with machine-readable gates. Use for disconnected, restricted-egress, offline, or air-gapped DeepOps installations…deploy-k8s-gpu-clusterDeploy a Kubernetes GPU cluster with DeepOps (Kubespray + GPU Operator) and prove it schedules GPU pods. Use when asked to deploy or rebuild Kubernetes on GPU servers with this repository.deploy-slurm-clusterDeploy a Slurm GPU cluster with DeepOps and prove it works. Use when asked to deploy, install, or rebuild Slurm on one or more GPU servers with this repository.diagnose-driver-installDiagnose NVIDIA driver installation failures on DeepOps-managed nodes — nvidia-smi errors, "No devices were found", DKMS build failures, or GPU pods crash-looping. Use before reinstalling anything.
check-shim-compatibilityCheck cudf-spark shim source selection on a PR combined with its current target branch, provide independent cross-PR advisories, and identify required profile validation. Use for versioned sources, shared shim callers, or Spark/Databricks build profiles.udf-convert-to-cudaAssists with converting a non-aggregating Apache Spark UDF to a native CUDA RapidsUDF using JNI and libcudf. This is step 2 of 3 in the UDF conversion workflow (udf-gen-test -> udf-convert-to-cuda -> udf-benchmark). Use this skill when you have a CPU UDF with…udf-gen-testAssists with generating a unit test for an Apache Spark UDF. This is step 1 of 3 in the UDF conversion workflow (udf-gen-test -> udf-convert-to-* -> udf-benchmark). Use this skill when you have a CPU UDF and need to create a unit test for the UDF before…udf-judge-conversionReviews generated UDF tests and GPU/SQL implementations for robustness, anti-cheating, and GPU execution integrity. Use when the user requests a judge/review-agent pass, or when manually reviewing a completed conversion.udf-convert-to-sqlAssists with converting an Apache Spark UDF to a functionally equivalent Spark SQL expression. This is step 2 of 3 in the UDF conversion workflow (udf-gen-test -> udf-convert-to-sql -> udf-benchmark). Use this skill when you have a CPU UDF with a unit test…udf-benchmarkAssists with benchmarking and profiling the performance of an Apache Spark UDF on the GPU. This is step 3 of 3 in the UDF conversion workflow (udf-gen-test -> udf-convert-to-* -> udf-benchmark). Use this skill when you have a CPU UDF and a RapidsUDF or SQL…udf-convert-to-cudfAssists with converting an Apache Spark UDF to a GPU-accelerated RapidsUDF using cuDF Java APIs. This is step 2 of 3 in the UDF conversion workflow (udf-gen-test -> udf-convert-to-cudf -> udf-benchmark). Use this skill when you have a CPU UDF with a unit test…udf-optimize-cudfIteratively optimizes a cuDF RapidsUDF implementation for GPU performance. Use after testing and benchmarking with udf-benchmark. Runs a loop of profiling, optimizing, testing, and benchmarking until performance converges or the iteration budget is exhausted.
cuopt-model-mapperMap interpreted optimization problems into cuOpt-native models for the fast path with minimal clarifying questions.cuopt-sandboxRun cuOpt in the NemoClaw sandbox — probe/smoke gates, prefer cancelable Python gRPC jobs, use legacy remote execution only when that API is unavailable, then vendored cuOpt skills.optimization-mode-routerChoose fast direct-to-cuOpt solve versus replayable or auditable model artifact mode.tabular-optimization-ingestionInfer optimization structure from uploaded tables and identify minimal clarifications before cuOpt modeling.cuopt-debuggingTroubleshoot cuOpt LP/MILP problems including errors, wrong results, infeasible solutions, performance issues, and status codes. Use when the user says something isn't working, gets unexpected results, or needs help diagnosing issues.optimization-from-data-orchestratorCoordinate uploaded data plus a natural-language question into interpretation, clarification, cuOpt solve, and a user-facing answer.optimization-intent-routerClassify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.generic-max-supplyMulti-period supply chain planning model: data files, BOM structure, variable/constraint reference for the max-supply base model.
fix-cveFix CVE vulnerabilities by upgrading affected dependencies across Python (uv), and Rust layers. Use when the user mentions CVE numbers, asks to fix security vulnerabilities, or asks to patch dependencies for CVEs.generate-specProduce a feature specification covering API changes, backward compatibility, cross-language impact, performance, and a file-level change plan. Use when designing a new feature, planning a significant change, or the user asks to spec something out.generate-test-planProduce a test plan with specific test names, assertions, and coverage across Python and Rust. Use when planning tests for a feature, after generating a spec, or the user asks for a test plan.release-automationPrepares and automates the release process for multi-storage-client (version bump, release notes, checklist). Use when the user wants to cut a release, bump version, prepare release, publish a new version, or automate release steps.researchBefore designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.capture-learningAppend a learning to agent-learnings.md when the agent or user identifies a mistake, non-obvious pattern, or useful convention worth remembering. Use when the user says "capture this", "remember this", or "add to learnings".cloud-storage-setupSet up MSC credentials and MCP server integration for cloud storage access. Use when the user wants to interact with cloud storage (S3, GCS, Azure, OCI), asks to set up credentials, connect to a bucket, list objects, move files, or sync data. Checks for…prepare-mrStage files, commit with correct format, push, and generate an MR description. Manual invocation only — has side effects (git operations). Use when the user explicitly asks to prepare, create, or submit an MR.
ai-factory-operations-agent-headlessUse AI Factory Operations Agent without opening the browser UI. Invoke it through the headless HTTP API, packaged CLI, or stdio MCP server, and deploy it first when no service is available.grafanaCreate and open Grafana dashboards for metrics, Loki logs, and mixed panels. Use when the user asks for a dashboard, visualization, chart, panel, or graph of GPU, Base Command Manager (BCM), node, network, InfiniBand, Prometheus metrics, or Loki logs.observabilityAnalyze cluster observability data and create Grafana dashboards. Use when the user asks about metrics, logs, log labels, cluster health history, dashboards, charts, panels, or visualizations.gpu-networkingMeasure and diagnose distributed GPU networking performance: NCCL collectives, RDMA transport, PCIe topology, link health, IOMMU and ACS. Use for current bandwidth/latency questions and follow-up bottleneck investigations or corrections.bcmInspect Base Command Manager (BCM) inventory and health evidence, and make explicitly requested changes when Base Command Manager edit mode is enabled.hardware-agentTriage hardware faults on NVIDIA GPU compute nodes through the Hardware Agent. Starting a triage is read-only log collection and hardware_analyze_dut is available in View mode; never require Edit or Auto. Before asking to start any fresh NVDebug collection,…iraopResearch NVIDIA DGX, SuperPOD, GB200, NVLink, BlueField, Base Command Manager (BCM), and on-prem infrastructure documentation through the IRA/Sequoia retrieval agent. Use when the user asks to research docs, deployment policy, operational guidance, or newly…slurmInspect mounted Slurm accounting exports and job logs for failed workload root cause analysis.
cuopt-installInstall cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.cuopt-developerModify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.cuopt-numerical-optimization-apiLP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.cuopt-numerical-optimization-formulationLP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.cuopt-routing-api-pythonVehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.cuopt-skill-evolutionAfter solving a non-trivial problem, detect generalizable learnings and propose skill updates. Always active — applies to every interaction.cuopt-user-rulesBase rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those.
compileiq-debugUse when something is wrong: Search() hangs, all evaluations return INVALID_SCORE, scores aren't improving, every config returns the same number, ptxas errors fill the log, CV% is too high, or a winning ACF candidate needs NCU profiling to explain.…compileiq-run-searchUse when composing the Search(...) call and calling .start(). Covers the four worker classes (MultiProcessWorker / IsoMultiProcessWorker / RayWorker / AsyncWorker) and when to pick each, SearchConfiguration sizing rules, dump_results checkpointing,…compileiq-bootstrapUse when starting a fresh CompileIQ project, hitting a hang on the first evaluation, or before running any other compileiq-* skill. Verifies CUDA 13.3+, ptxas, GPU access, that `from compileiq.ciq import Search` and friends resolve, and that…compileiq-search-spaceUse when picking the search_space= argument for Search(). Covers the three provider classes (PtxasSearchSpace, NvccSearchSpace, LocalSearchSpaceBin), how to pin a version/variant/tag, the attention-focused 'att' variant for attention kernels (FlashAttention,…compileiq-author-objectiveUse when writing the objective_function= passed to Search(). Covers the two legal signatures (compiler-only str vs mixed list), the baseline-knockout branch, per-eval cache busting, framework-specific --apply-controls injection (raw PTXAS, NVCC, Triton,…compileiq-booster-packUse BEFORE running a full CompileIQ search. Walks through downloading a Booster Pack from NVIDIA/CompileIQ GitHub Releases, applying ACF candidates one at a time to the user's compiler (raw PTXAS, NVCC, Triton, Helion, FlashInfer), and keeping only candidates…compileiq-validate-resultUse AFTER a Search has completed and BEFORE claiming any speedup or shipping an ACF. Loads the dump_results CSV, extracts top-K candidates (single-objective) or the Pareto front (multi-objective), re-measures each against the no-ACF baseline with 100+ trials…