Source

promptingcompany/nv-skills

202 skills · 7.9K combined installs

Skills from this source

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Skill
Source
8W Activity
Installs
1
holoscan-install-conda Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. Use for Conda installs; redirect CUDA 12 hosts to cont…
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holoscan-install-container Install Holoscan SDK via the NGC Docker container. Use for container-based installs; not for native apt/pip/Conda ins…
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holoscan-install-debian Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel fo…
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holoscan-install-source Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's n…
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holoscan-install-wheel Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda insta…
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holoscan-setup Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, a…
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hsb-app Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the use…
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hsb-flash Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, …
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9
hsb-setup Clone the latest NVIDIA Holoscan Sensor Bridge repo, ask which supported devkit is being used, configure the host per…
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hsb-test Execute QA test plans on Holoscan Sensor Bridge hardware. Reads a user-provided test document, filters tests by the u…
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launch-nemo-rl Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s C…
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mcore-create-issue Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
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mcore-linting-and-formatting Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and c…
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mcore-run-on-slurm How to launch distributed Megatron-LM training jobs on a SLURM cluster.
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mcore-split-pr Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
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mcore-testing Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests,…
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nemo-automodel-distributed-training Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP…
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18
nemo-automodel-launcher-config Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
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nemo-automodel-model-onboarding Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation pa…
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nemo-automodel-recipe-development Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution f…
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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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nemo-evaluator-plugin Use when working on the Evaluator plugin CLI, jobs, SDK-backed specs, metric types, or plugin-owned Evaluator skills.
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nemo-mbridge-mlm-bridge-training Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available reci…
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nemo-mbridge-multi-node-slurm Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native …
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nemo-mbridge-perf-activation-recompute Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of…
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nemo-mbridge-perf-cpu-offloading Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimi…
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nemo-mbridge-perf-cuda-graphs Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine …
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nemo-mbridge-perf-expert-parallel-overlap Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_…
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nemo-mbridge-perf-hierarchical-context-parallel Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anch…
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nemo-mbridge-perf-megatron-fsdp Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and …
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nemo-mbridge-perf-memory-tuning Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, parallelism resizing, activation re…
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nemo-mbridge-perf-moe-comm-overlap MoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backen…
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nemo-mbridge-perf-moe-dispatcher-selection Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization…
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nemo-mbridge-perf-moe-hardware-configs Representative MoE training playbooks by hardware platform and model family. Summarizes rounded throughput bands, par…
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nemo-mbridge-perf-moe-long-context Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, an…
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nemo-mbridge-perf-moe-optimization-workflow Systematic workflow for MoE training optimization in Megatron Bridge, based on the Megatron-Core MoE paper. Covers th…
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nemo-mbridge-perf-moe-vlm-training Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded …
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nemo-mbridge-perf-parallelism-strategies Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardw…
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nemo-mbridge-perf-sequence-packing Validate and use packed sequences and long-context training in Megatron-Bridge, distinguishing offline packed SFT for…
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nemo-mbridge-perf-tp-dp-comm-overlap Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code …
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nemo-mbridge-resiliency Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption…
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nemo-rl-auto-research Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents th…
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nemo-rl-brev-etiquette Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger …
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nemo-rl-docs Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, …
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nemo-rl-session-memory Manage durable working-session memory for coding agents.
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nemoclaw-user-agent-skills Describes the agent skills shipped with NemoClaw and how to access them by cloning the repository. Use when users ask…
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nemoclaw-user-configure-inference Connects NemoClaw to a local inference server. Use when setting up Ollama, vLLM, TensorRT-LLM, NIM, or any OpenAI-com…
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nemoclaw-user-configure-security Presents a risk framework for every configurable security control in NemoClaw. Use when evaluating security posture, …
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nemoclaw-user-deploy-remote Explains how to run NemoClaw on a remote GPU instance, including the deprecated Brev compatibility path and the prefe…
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nemoclaw-user-get-started Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching…
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