NVIDIA

479 mods in 9 plugins, 26 repositories, 127k stars between them.

NVIDIA/NeMo-Relay

Skill Claude CodeCodex ✓ vendor

Use this skill 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, configuration, and observability surfaces.

not rated 234 +12 yesterday A SkillSpector: pass 58 tokens original Apache-2.0

NVIDIA/NeMo-Relay

Skill Claude CodeCodex ✓ vendor

Use this skill when baseline NeMo Relay instrumentation exists and the user wants to configure or evaluate adaptive plugin behavior, including telemetry, state, adaptivehints, toolparallelism, ACG, hint consumption, or measured rollout.

not rated 234 +12 yesterday A SkillSpector: pass 55 tokens original Apache-2.0

NVIDIA/NeMo-Relay

Skill Claude CodeCodex ✓ vendor

Use this skill when building or packaging reusable NeMo Relay runtime behavior as an embedded configuration component or a manifest-backed rustdynamic native or worker gRPC plugin, with deterministic validation and rollback-safe registration.

not rated 234 +12 yesterday A SkillSpector: pass 50 tokens original Apache-2.0

NVIDIA/NeMo-Relay

Skill Claude CodeCodex ✓ vendor

Use this skill when choosing or configuring NeMo Relay 0.6 or 0.7 observability through the built-in plugin, subscribers, or exporters, including raw ATOF events, ATIF trajectories, OpenTelemetry, OpenInference, or custom event handling.

not rated 234 +12 yesterday A SkillSpector: pass 63 tokens original Apache-2.0

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How 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 / extxyz) into Zarr stores, assembling datasets for training or…

not rated 204 +2 yesterday A SkillSpector: warn 90 tokens original Apache-2.0

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How to use AtomicData and Batch, the core graph-based data structures for representing atomic systems and batching them for GPU computation. Use when building systems from positions, cells, and atomic numbers, converting from ASE Atoms, batching or unbatching structures, reading per-atom vs per-graph tensors, grouping…

not rated 204 +2 changed 2d ago A SkillSpector: pass 106 tokens original Apache-2.0

nvalchemi-distributed

391

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How to run domain-decomposed (multi-GPU) MLIP simulations with DomainParallel — choose between the halo and graph-partition strategies, author a distributionspec so a bring-your-own model runs under domain decomposition, and write a custom dynamics integrator that stays correct across ranks.

not rated 204 +2 changed 1mo ago A SkillSpector: pass 64 tokens original Apache-2.0

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How 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 geometry optimization (e.g. FIRE2), equation-of-state or…

not rated 204 +2 changed 2d ago A SkillSpector: warn 84 tokens original Apache-2.0

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How 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 or trajectory capture, or any custom per-step behavior…

not rated 204 +2 changed 1mo ago A SkillSpector: pass 69 tokens original Apache-2.0

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How to implement a dynamics integrator by subclassing BaseDynamics and overriding preupdate() and postupdate() methods. Use when creating a custom integrator, optimizer, or sampler that the built-in stages do not provide; for configuring existing dynamics, see nvalchemi-dynamics-api.

not rated 204 +2 changed 1mo ago A SkillSpector: pass 67 tokens original Apache-2.0

nvalchemi-fine-tuning

395

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How to fine-tune nvalchemi-compatible models with FineTuningStrategy, pretrained checkpoint initialization, module patches, trainable-parameter filters, conservative optimizer defaults, validation, restart checkpoints, and model-agnostic MACE, AIMNet2, custom BaseModelMixin, or PyTorch inputs. Use when adapting a…

not rated 204 +2 changed 2d ago A SkillSpector: pass 112 tokens original Apache-2.0

nvalchemi-loss-api

396

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How 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 objectives for training or fine-tuning, masking atoms or graphs out…

not rated 204 +2 yesterday A SkillSpector: pass 77 tokens original Apache-2.0

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How 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) so dynamics, training, or fine-tuning stages can call it, or…

not rated 204 +2 changed 1mo ago A SkillSpector: pass 94 tokens original Apache-2.0

nvalchemi-reporting

398

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How 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 summaries, preserving dynamics CSV rows, adding rank-safe…

not rated 204 +2 changed 1mo ago A SkillSpector: warn 86 tokens original Apache-2.0

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How to configure nvalchemi training workflows with TrainingStrategy, custom training functions, standalone or composed losses, loss-weight schedules, optimizer and scheduler configs, validation, hooks, restartable checkpoints, model-agnostic inputs, and scaling to multiple GPUs or nodes with DistributedManager and…

not rated 204 +2 yesterday A SkillSpector: pass 117 tokens original Apache-2.0

nvalchemi-zarr-perf

400

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

Performance tuning for nvalchemi's Zarr-backed Reader, Dataset, and DataLoader pipeline. Use when configuring AtomicDataZarrReader, Dataset, DataLoader, ZarrWriteConfig, or nvalchemi-io-test for training/inference throughput, especially shuffled access, graph-like random access, fused prefetch, pinned memory…

not rated 204 +2 yesterday A SkillSpector: warn 89 tokens original Apache-2.0

nvalchemi-mep

401

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How to compute minimum-energy paths (MEPs) and transition-state estimates with nvalchemi.dynamics.mep: building initial paths (interpolation, alignment, IDPP) and running batched nudged elastic band (NEB) with the NEB strategy or by building it manually with hooks. Use when setting up reaction paths between reactant…

not rated 204 +2 yesterday A 106 tokens original Apache-2.0

NVIDIA/nvalchemi-toolkit

Skill Claude Code ✓ vendor

How to distill a large teacher MLIP into a small student with DistillationStrategy — teacher signals and offline dataset labeling, the teacher loss targets, the on-policy segment loop (propagator, replay buffer, mixed loader), checkpoints and restart, and accuracy/stability evaluation with acceptance thresholds. Use…

not rated 204 +2 changed 2d ago A 109 tokens original Apache-2.0

NVIDIA/elements

Skill Claude CodeCodex ✓ vendor

Generate a production availability report for NVIDIA Elements packages, skill registry, and documentation.

not rated 113 +7 changed 1mo ago A SkillSpector: pass 21 tokens original Apache-2.0

agent-debug-ci

404

NVIDIA/elements

Skill Claude CodeCodex needs its repo ✓ vendor

Investigate failed scheduled or nightly GitHub Actions runs on the default branch, determine whether the failure is reproducible and repository-owned, implement the smallest evidence-backed fix, validate it, and open a pull request. Use when a failed nightly CI event starts an agent, or when the standard CI or…

not rated 113 +7 yesterday A SkillSpector: pass 80 tokens original Apache-2.0

agent-dependencies

405

NVIDIA/elements

Skill Claude CodeCodex ✓ vendor

Perform one conservative dependency or toolchain upgrade in the Elements monorepo and open a validated pull request. Use for nightly or unattended dependency maintenance, outdated package checks, first-party actions/ GitHub Actions updates, and pinned mise tool updates. Use the github-dependabot skill instead when the…

not rated 113 +7 yesterday A SkillSpector: pass 73 tokens original Apache-2.0

agent-upkeep

406

NVIDIA/elements

Skill Claude CodeCodex ✓ vendor

Perform one small, scoped maintenance improvement to the Elements monorepo and open a single reviewable pull request. Use this skill for scheduled or unattended upkeep runs that improve unit test coverage for one file, fix one behavioral bug in one module, or move one off ESLint rule toward enforcement to reduce…

not rated 113 +7 changed 1mo ago A SkillSpector: warn 115 tokens original Apache-2.0

audit-accessibility

407

NVIDIA/elements

Skill Claude Code ✓ vendor

Unified accessibility auditing workflow across static analysis, runtime testing, ARIA patterns, keyboard navigation, and color contrast. Use this skill whenever the user mentions accessibility, a11y, WCAG, ARIA roles, axe tests, screen readers, focus management, keyboard navigation, color contrast, or wants to audit…

not rated 113 +7 yesterday A SkillSpector: pass 98 tokens original Apache-2.0

audit-ci

408

NVIDIA/elements

Skill Claude CodeCodex ✓ vendor

Run and analyze Elements cold CI performance profiles and propose evidence-backed build, test, lint, and dependency-graph improvements. Use whenever asked to profile or benchmark pnpm run ci, rerun ci:profile, create a CI performance audit, compare CI timings, find bottlenecks or the completion path, investigate a CI…

not rated 113 +7 yesterday A SkillSpector: warn 78 tokens original Apache-2.0

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