Nvidia Skills
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mcore-create-issue
skills/skills/mcore-create-issue
Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
mcore-linting-and-formatting
megatron-lm/skills/mcore-linting-and-formatting
Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.
mcore-linting-and-formatting
skills/skills/mcore-linting-and-formatting
Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.
mcore-migrate-gpt-to-hybrid
megatron-lm/skills/mcore-migrate-gpt-to-hybrid
Migration guide for moving Megatron Core GPTModel checkpoints, model providers, training commands, and layer mappings to HybridModel.
mcore-onboard-gb200-1node-tests
megatron-lm/skills/mcore-onboard-gb200-1node-tests
Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.
mcore-run-on-slurm
megatron-lm/skills/mcore-run-on-slurm
How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run,…
mcore-run-on-slurm
skills/skills/mcore-run-on-slurm
How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run,…
mcore-split-pr
megatron-lm/skills/mcore-split-pr
Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
mcore-split-pr
skills/skills/mcore-split-pr
Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
mcore-testing
megatron-lm/skills/mcore-testing
Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI…
mcore-testing
skills/skills/mcore-testing
Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI…
mig-configure
dgx-spark-playbooks/nvidia/station-ai-skills/assets/skills/mig-configure
Configure NVIDIA MIG (Multi-Instance GPU) partitions on the DGX Station GB300, including enabling MIG mode, choosing a profile layout, creating instances, and…
molecular-viz
dgx-spark-playbooks/nvidia/station-healthcare-agent/assets/skills/molecular-viz
Visualize drug-protein complexes using build_viewer.py, PubChem, and OpenFold3 NIM. Use when asked to show a molecular structure, drug target, or protein…
monitor
model-optimizer/plugins/modelopt/skills/monitor
Monitor submitted jobs (PTQ, evaluation, deployment) on SLURM clusters. Use when the user asks "check job status", "is my job done", "monitor my evaluation",…
nat-agent-configuration
nemo-agent-toolkit/skills/nat-agent-configuration
Use when selecting, configuring, composing, or troubleshooting NeMo Agent Toolkit agents and control-flow components, including ReAct, tool-calling, ReWOO,…
nat-evaluation
nemo-agent-toolkit/skills/nat-evaluation
Use when designing, configuring, running, or troubleshooting NeMo Agent Toolkit evaluations, datasets, evaluator selection, ATIF surfaces, quality gates,…
nat-installation
nemo-agent-toolkit/skills/nat-installation
Use 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-serving
nemo-agent-toolkit/skills/nat-mcp-and-serving
Use when serving NeMo Agent Toolkit workflows, exposing workflows through FastAPI, configuring MCP clients or servers, or troubleshooting transport and server…
nat-optimization
nemo-agent-toolkit/skills/nat-optimization
Use when configuring or running NeMo Agent Toolkit optimization with `nat optimize`, including Optuna parameter tuning, prompt evolution, optimizer sizing,…
nat-path-checks
nemo-agent-toolkit/skills/nat-path-checks
Use when fixing NeMo Agent Toolkit documentation path-check failures, especially failed `ci/scripts/path_checks.py` output, slash-delimited text mistaken for…
nat-telemetry
nemo-agent-toolkit/skills/nat-telemetry
Use when adding, configuring, or troubleshooting NeMo Agent Toolkit logging, tracing, telemetry exporters, OpenTelemetry, Langfuse, LangSmith, Weave, Phoenix,…
nat-tools-and-functions
nemo-agent-toolkit/skills/nat-tools-and-functions
Use when authoring, registering, composing, or testing custom NeMo Agent Toolkit tools, functions, function groups, Python components, custom agents, custom…
nat-user-rules
nemo-agent-toolkit/skills/nat-user-rules
Use first for general NVIDIA NeMo Agent Toolkit coding-agent behavior, task routing, naming conventions, component discovery rules, and cross-skill guidance.
nat-workflow-creation
nemo-agent-toolkit/skills/nat-workflow-creation
Use when creating, editing, validating, running, or troubleshooting NeMo Agent Toolkit workflow YAML, component discovery, LLM configuration, and common `nat`…
ncore
nurec-skills/skills/ncore
Use when converting any sensor dataset into NVIDIA NCore V4 format (and feeding it to NuRec or a robotics-to-sim "r2s" pipeline). Covers ingesting raw cameras,…
nemo-automodel-distributed-training
skills/skills/nemo-automodel-distributed-training
Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.
nemo-automodel-launcher-config
skills/skills/nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
nemo-automodel-model-onboarding
skills/skills/nemo-automodel-model-onboarding
Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.
nemo-automodel-recipe-development
skills/skills/nemo-automodel-recipe-development
Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.
nemo-data-designer-plugin
skills/skills/nemo-data-designer-plugin
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
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