NVIDIA Agent Skills
The official catalog of NVIDIA agent skills: CUDA, accelerated libraries, RAG, robotics and simulation through coding agents
Medium risk
We rate an entry medium when the tool runs code, makes network calls or reads project files. Check what exactly it does before installing.
Why this level
- Skills lead the agent to run GPU code, install software and deploy containers
- Some skills configure networking, DPUs and cluster deployments
Install
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/nvidia-agent-skillsDetects the agents on your machine, checks the risk and pins the version.
Other ways to install
Assembled automatically, review before installing.
Run in a terminal in the project folder
npx skills add nvidia/skills --skill accelerated-computing-cudf aiq-deploy aiq-research amc-run-rtsp-calibration amc-run-sample-calibration amc-run-video-calibration amc-setup-calibration-stack bionemo-kermt-add-cmim-pretrain bionemo-kermt-continue-pretrain bionemo-kermt-embed bionemo-kermt-finetune bionemo-kermt-infer bionemo-kermt-monitor bionemo-kermt-pretrain-scratch bionemo-kermt-setup -a claude-code -yThe skills tool installs the current version from the repository. Add the -g flag to use the skill in every project.
Run in a terminal in the project folder
npx skills add nvidia/skills --skill accelerated-computing-cudf aiq-deploy aiq-research amc-run-rtsp-calibration amc-run-sample-calibration amc-run-video-calibration amc-setup-calibration-stack bionemo-kermt-add-cmim-pretrain bionemo-kermt-continue-pretrain bionemo-kermt-embed bionemo-kermt-finetune bionemo-kermt-infer bionemo-kermt-monitor bionemo-kermt-pretrain-scratch bionemo-kermt-setup -a cursor -yThe skills tool installs the current version from the repository. Add the -g flag to use the skill in every project.
Run in a terminal in the project folder
npx skills add nvidia/skills --skill accelerated-computing-cudf aiq-deploy aiq-research amc-run-rtsp-calibration amc-run-sample-calibration amc-run-video-calibration amc-setup-calibration-stack bionemo-kermt-add-cmim-pretrain bionemo-kermt-continue-pretrain bionemo-kermt-embed bionemo-kermt-finetune bionemo-kermt-infer bionemo-kermt-monitor bionemo-kermt-pretrain-scratch bionemo-kermt-setup -a github-copilot -yThe skills tool installs the current version from the repository. Add the -g flag to use the skill in every project.
Run in a terminal in the project folder
npx skills add nvidia/skills --skill accelerated-computing-cudf aiq-deploy aiq-research amc-run-rtsp-calibration amc-run-sample-calibration amc-run-video-calibration amc-setup-calibration-stack bionemo-kermt-add-cmim-pretrain bionemo-kermt-continue-pretrain bionemo-kermt-embed bionemo-kermt-finetune bionemo-kermt-infer bionemo-kermt-monitor bionemo-kermt-pretrain-scratch bionemo-kermt-setup -a codex -yThe skills tool installs the current version from the repository. Add the -g flag to use the skill in every project.
Run in a terminal in the project folder
npx skills add nvidia/skills --skill accelerated-computing-cudf aiq-deploy aiq-research amc-run-rtsp-calibration amc-run-sample-calibration amc-run-video-calibration amc-setup-calibration-stack bionemo-kermt-add-cmim-pretrain bionemo-kermt-continue-pretrain bionemo-kermt-embed bionemo-kermt-finetune bionemo-kermt-infer bionemo-kermt-monitor bionemo-kermt-pretrain-scratch bionemo-kermt-setup -a gemini-cli -yThe skills tool installs the current version from the repository. Add the -g flag to use the skill in every project.
Run in a terminal in the project folder
npx skills add nvidia/skills --skill accelerated-computing-cudf aiq-deploy aiq-research amc-run-rtsp-calibration amc-run-sample-calibration amc-run-video-calibration amc-setup-calibration-stack bionemo-kermt-add-cmim-pretrain bionemo-kermt-continue-pretrain bionemo-kermt-embed bionemo-kermt-finetune bionemo-kermt-infer bionemo-kermt-monitor bionemo-kermt-pretrain-scratch bionemo-kermt-setup -a cline -yThe skills tool installs the current version from the repository. Add the -g flag to use the skill in every project.
Run in a terminal in the project folder
npx skills add nvidia/skills --skill accelerated-computing-cudf aiq-deploy aiq-research amc-run-rtsp-calibration amc-run-sample-calibration amc-run-video-calibration amc-setup-calibration-stack bionemo-kermt-add-cmim-pretrain bionemo-kermt-continue-pretrain bionemo-kermt-embed bionemo-kermt-finetune bionemo-kermt-infer bionemo-kermt-monitor bionemo-kermt-pretrain-scratch bionemo-kermt-setup -a roo -yThe skills tool installs the current version from the repository. Add the -g flag to use the skill in every project.
A fork of Roo Code, same .roo folders.
Run in a terminal in the project folder
npx skills add nvidia/skills --skill accelerated-computing-cudf aiq-deploy aiq-research amc-run-rtsp-calibration amc-run-sample-calibration amc-run-video-calibration amc-setup-calibration-stack bionemo-kermt-add-cmim-pretrain bionemo-kermt-continue-pretrain bionemo-kermt-embed bionemo-kermt-finetune bionemo-kermt-infer bionemo-kermt-monitor bionemo-kermt-pretrain-scratch bionemo-kermt-setup -a opencode -yThe skills tool installs the current version from the repository. Add the -g flag to use the skill in every project.
Install the catalog: npx skills add nvidia/skills, and add a single skill if needed: npx skills add nvidia/skills --skill cuopt-numerical-optimization-api --agent claude-code. In Claude Code run /reload-skills to pick up new skills.
Other ways from the author
npx skills add nvidia/skillsThe CLI asks which skill and where to install it. A current skills CLI is required. For a single skill: npx skills add nvidia/skills --skill <name> --agent claude-code.
This is third-party code. Review the repository files before installing.
What it does
The repository is NVIDIA's official catalog of skills for coding agents. Skills are portable instruction sets that teach an agent to use NVIDIA software correctly: accelerated computing and data work (cuDF, cuPyNumeric, DALI), optimization (cuOpt), quantum computing (CUDA-Q), RAG and blueprints, deployment and inference (Dynamo), networking and DPUs (DOCA), robotics, simulation and Physical AI. Skills are maintained in the product repositories and mirrored here daily by an automated pipeline, so the list keeps growing. The set includes a skill finder that helps the agent pick the right NVIDIA skill for a task. The catalog installs through the skills CLI or as a plugin, and a skill is picked up when the agent meets a relevant task.
Who it is for. For developers, data and robotics engineers who work with the NVIDIA stack through a coding agent.
Good fit when
- You need to speed up data processing or compute on GPU via cuDF, cuPyNumeric or DALI
- You need to solve an optimization problem in cuOpt or build a RAG workflow on NVIDIA blueprints
- You need the agent's help with deployment, inference, robotics or simulation on NVIDIA software
Not a fit when
- You have no access to the required NVIDIA hardware, containers and services
- The task is not related to the NVIDIA stack
Example request
Solve a linear programming problem with cuOpt and show the finished Python codeLimitations
Skills are instructions; the actual work needs NVIDIA software, hardware and services: suitable GPUs, containers and images from NGC, and sometimes accounts and specialized hardware such as BlueField DPUs. Each skill has its own requirements for library and driver versions. Skills install from GitHub and via npm, but availability of some NVIDIA services and downloads from Russia without a VPN is not guaranteed. Apache 2.0 for code and CC-BY-4.0 for documentation.
How to disable. Remove installed skills via npx skills update and confirming removal, or delete their folders from the agent's skills directory. If installed as a plugin, remove it via /plugin.
Security check
- Skills lead the agent to run GPU code, install software and deploy containers
- Some skills configure networking, DPUs and cluster deployments
README in short
The README presents NVIDIA's official catalog of agent skills for Claude Code, Codex and other coding agents. Skills teach the agent to use NVIDIA software: accelerated computing, optimization, RAG, deployment, networking, robotics and simulation, and they are maintained in product repositories and mirrored here daily. Installation goes through the skills CLI with a single npx skills add nvidia/skills command; you can install individual skills, target a specific agent, and update or browse the catalog. A skill finder helps pick the right skill. Licensed under Apache 2.0 and CC-BY-4.0.
SKILL.md
---
name: accelerated-computing-cudf
description: Official 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.
license: CC-BY-4.0 AND Apache-2.0
metadata:
author: NVIDIA
tags:
- cudf
- dataframes
- pandas
- dask-cudf
- etl
---
# cuDF & dask-cuDF Implementer's Guide
## Compatibility
- Requires NVIDIA Volta or newer on CUDA 12, or Turing or newer on CUDA 13. cuDF sweet spot: more than 100K rows.
## Role
You are a cuDF expert helping an implementer work with GPU DataFrames. Choose the path from the user's intent: cudf.pandas for broad compatibility or minimal-change acceleration, explicit cuDF for named DataFrame migrations, hot ETL paths, and parity-sensitive work.
## Critical Rules
1. Choose the right cuDF path.
2. Size gate: 100K rows minimum.
3. Keep conversions at boundaries.
4. Float32 is your friend.
5. Validate semantics on representative slices.FAQ
Are these official NVIDIA skills?
Yes, the repository is stated as an official, NVIDIA-verified catalog. Skills are maintained in product repositories and mirrored into this catalog daily.
Are the skills alone enough to do the work?
No. Skills give the agent methodology, but real tasks need GPUs, NGC containers and the NVIDIA software each skill targets.
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