Official agent skill

Earth2studio Install

Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment.

OfficialApache-2.0Auto-check: notesAI & LLM Engineering

Install Earth2studio Install

skills CLI

$ npx skills add NVIDIA/skills --skill earth2studio-install -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills earth2studio-install --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/earth2studio-install .claude/skills/earth2studio-install && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "earth2studio-install" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/earth2studio-install into .claude/skills/earth2studio-install/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earth2studio-install", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/earth2studio-install

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add NVIDIA/skills --skill earth2studio-install -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills earth2studio-install --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/earth2studio-install .agents/skills/earth2studio-install && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "earth2studio-install" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/earth2studio-install into .agents/skills/earth2studio-install/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earth2studio-install", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add NVIDIA/skills --skill earth2studio-install -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills earth2studio-install --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/earth2studio-install .cursor/skills/earth2studio-install && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "earth2studio-install" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/earth2studio-install into .cursor/skills/earth2studio-install/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earth2studio-install", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/earth2studio-install

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add NVIDIA/skills --skill earth2studio-install -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills earth2studio-install --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/earth2studio-install .gemini/skills/earth2studio-install && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "earth2studio-install" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/earth2studio-install into .gemini/skills/earth2studio-install/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earth2studio-install", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install NVIDIA/skills earth2studio-install

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add NVIDIA/skills --skill earth2studio-install -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/earth2studio-install .github/skills/earth2studio-install && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "earth2studio-install" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/earth2studio-install into .github/skills/earth2studio-install/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earth2studio-install", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add NVIDIA/skills --skill earth2studio-install -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills earth2studio-install --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/earth2studio-install .opencode/skills/earth2studio-install && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "earth2studio-install" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/earth2studio-install into .opencode/skills/earth2studio-install/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earth2studio-install", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: earth2studio-install
GitHub stars: 3.5k
Token cost: ~1.6k tokens
SKILL.md length: 768 words
Files: 5
Skills in repo: 380
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment.

Works in 6 steps: Fetch live docs → Understand the user's environment → Base install → …
Writing inference code
SKILL.md covers Never install packages…, Purpose, Prerequisites and Core principle: docs are the…, plus 4 more sections
Calls uv, conda and apt-get; reaches nvidia.github.io

What it does

Earth2studio Install is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Guide 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.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).

It sits in AI & LLM Engineering. It works with CUDA. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.

When your agent uses it

Writing inference code
Choosing models
PhysicsNeMo questions

Example prompts

“/earth2studio-install”

Requirements

Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

Fetch live docs
Understand the user's environment
Base install
Select models and extras
Install selected extras
Configuration (offer, don't force)

What it can do on your machine

Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- uv
- conda
- apt-get
- pip
- apt
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- nvidia.github.io
Also links to:
- docs.astral.sh
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Earth2studio Install loads about 1.6k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 768 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~51
When it runs · the whole SKILL.md, loaded when a task matches: ~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteRuns commands with sudoSKILL.md:173

`sudo apt-get install libeccodes-dev` (Debian/Ubuntu) or

NoteRuns commands with sudoSKILL.md:176

headers; install via `sudo apt-get install python3-dev`

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 768 words, ~1,641 tokens.

Download SKILL.mdSave it as .claude/skills/earth2studio-install/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: earth2studio-install
description: Guide 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.
version: 0.16.0
license: Apache-2.0
metadata.author: NVIDIA Earth-2 Team
metadata.tags: earth2studio, earth2, python, install, deployment, environment

Earth2Studio Installation Skill

Never install packages automatically

You MUST NOT install, upgrade, or modify packages on the user's behalf. Provide the exact command; the user runs it. No exceptions.

Forbidden: running pip install, uv pip install, uv add, uv sync, conda install, apt install, or any package manager.

Instead: give the exact command and ask the user to run it. Explain why the package is needed.

When a package is needed:

Identify it
Provide the exact command
Explain why it is needed
Wait for the user to confirm they ran it

Even if the user says "just install it", give the command and require them to execute it themselves.

Purpose

Help users install Earth2Studio and its optional model dependencies correctly for their use case. This skill handles package installation, optional-extra selection, environment variable configuration, and install verification.

Prerequisites

Python 3.10+ (3.13 recommended)
CUDA-capable GPU with compatible drivers for GPU extras
uv (recommended) or pip package manager
Internet access (packages installed from PyPI and GitHub)

You are helping a user install Earth2Studio and its optional model dependencies. Your only job is to get the package installed correctly for their use case — do not write inference code, do not compose workflows.

Core principle: docs are the source of truth

Earth2Studio installation commands, version tags, and extra names change between releases. Before executing or recommending any install command, fetch the live installation docs:

text

https://nvidia.github.io/earth2studio/userguide/about/install.html

Parse the page for the current version tag, available extras, and any special build notes. The workflow below is structural guidance — the specific commands come from the live page.

Instructions

Step 1. Fetch live docs

Use WebFetch on the install URL above. Extract:

Current release version tag (e.g. @0.14.0)
Available optional extras by category
Known build quirks (e.g. --no-build-isolation for pip, manual pre-installs)

Keep this data in working memory for all subsequent steps.

Step 2. Understand the user's environment

Ask (cap at 3 questions, skip what the user already answered):

Package manager — uv (recommended) or pip? If unsure, recommend uv and link https://docs.astral.sh/uv/getting-started/installation/
Project context — new project or adding to existing?
Python version — recommend the version from the docs (currently 3.13)

Step 3. Base install

Provide commands from the live docs based on their answers:

uv uses a git source (not PyPI) to handle URL-based transitive dependencies
pip installs from PyPI but some extras require manual pre-install steps

After the user runs the install, verify:

python

import earth2studio
earth2studio.__version__

Step 4. Select models and extras

Present the available extras organized by use case. Ask what the user plans to do — don't dump all options unprompted. Categories from the docs:

Category	Example extras
Prognostic (forecasting)	aifs, aurora, graphcast, pangu, sfno, stormcast, ...
Diagnostic (post-processing)	corrdiff, climatenet, precip-afno, ...
Data assimilation (beta)	da-healda, da-interp, da-stormcast
Submodules	data, perturbation, statistics

The exact list comes from the live docs — cite those, not this table.

Ask:

Which models do you plan to use?
Do you need submodule extras (data sources, perturbation methods, statistics)?
Or install everything? (uv only: --extra all)

Show full SKILL.md (269 more words)Show less

Step 5. Install selected extras

Provide the exact commands from the live docs for their selections. Key warnings to surface:

Slow builds: flash-attention (AIFS variants), natten (Atlas, StormScope), torch-harmonics CUDA extensions (FCN3, SFNO) — can take 10-30+ minutes
pip-specific manual steps: some models require --no-build-isolation or pre-installing packages like earth2grid, torch-harmonics, or makani
Data assimilation models: require CuPy + cuDF (CUDA 12)

Step 6. Configuration (offer, don't force)

Mention environment variables the user might want to set — only if relevant (e.g. limited disk, shared filesystem, CI environment):

Variable	Purpose
`EARTH2STUDIO_CACHE`	General cache directory
`EARTH2STUDIO_DATA_CACHE`	Data source cache (overrides general)
`EARTH2STUDIO_MODEL_CACHE`	Model checkpoint cache (overrides general)
`EARTH2STUDIO_PACKAGE_TIMEOUT`	Max seconds for model downloads

Troubleshooting

If installation fails, point the user to:

Common issues:

PyTorch/CUDA mismatch: verify torch.cuda.is_available() first
flash-attention build failure: CUDA toolkit version must match PyTorch CUDA
ONNX Runtime GPU: may need version-specific install for their CUDA
ecCodes missing: required for GRIB data handling; install via sudo apt-get install libeccodes-dev (Debian/Ubuntu) or conda install -c conda-forge eccodes
Python.h: No such file or directory: missing Python development headers; install via sudo apt-get install python3-dev

Limitations

Cannot help with runtime errors unrelated to missing dependencies
Does not cover model checkpoint downloads (those happen at first inference)
Data source setup beyond the data extra is out of scope
Cannot write inference or training code, or compose Earth2Studio workflows

Ownership and out-of-scope

Owns: package installation, optional-extra selection, environment variable configuration, install verification.

Does not own: writing inference or training code, composing Earth2Studio workflows, data source setup beyond the data extra, model checkpoint downloads (those happen at runtime), troubleshooting runtime errors unrelated to missing dependencies.

Files

SKILL.md and 4 other files in skills/earth2studio-install of NVIDIA/skills.

SKILL.md
BENCHMARK.md
evals/evals.json
skill-card.md
skill.oms.sig

Open the folder on GitHubat commit 0e0d506

Compare with similar skills

Earth2studio Install next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Earth2studio Install compared with similar skills
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MUSA GPU Training Optimizeropen-infra-skills/infra-skills	141	—	~1.7k	Automated safety check: Pass	Apache-2.0	2 mo ago
Benchmark TuneMesh-LLM/mesh-llm	3.5k	—	~1.6k	Automated safety check: Pass	Apache-2.0	today
Cuda Kernel OptimizerKernelFlow-ops/cuda-optimized-skill	212	—	~4.3k	Automated safety check: Pass	MIT	1 mo ago
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Works with

CUDA

Questions about Earth2studio Install

What does Earth2studio Install do?

Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Earth2studio Install is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment.

When should I use Earth2studio Install?

Earth2studio Install fits situations like: writing inference code; choosing models; physicsNeMo questions.

How do I install Earth2studio Install in Claude Code?

Run `npx skills add NVIDIA/skills --skill earth2studio-install -a claude-code`. Or copy the skill folder (skills/earth2studio-install in NVIDIA/skills) into .claude/skills/earth2studio-install in your project. Claude Code loads it when a task matches its description.

How do I install Earth2studio Install in Codex?

Run `npx skills add NVIDIA/skills --skill earth2studio-install -a codex`. Or copy the skill folder (skills/earth2studio-install in NVIDIA/skills) into .agents/skills/earth2studio-install in your project. Codex loads it when a task matches its description.

Can I use Earth2studio Install in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill earth2studio-install -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/earth2studio-install, .gemini/skills/earth2studio-install, .github/skills/earth2studio-install and .opencode/skills/earth2studio-install in your project.

What does Earth2studio Install need to run?

Going by SKILL.md and its folder, Earth2studio Install needs the command-line tools its instructions call (uv, conda, apt-get, pip and apt). Our summary lists: Python 3.

Does Earth2studio Install access the network?

SKILL.md names 2 domains. In commands or code: nvidia.github.io; the agent is likely to contact it when it follows the instructions. As links in the text: docs.astral.sh. This is read from the text; nothing was executed.

Is Earth2studio Install safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Earth2studio Install use?

Earth2studio Install is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Earth2studio Install use?

About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Earth2studio Install?

Skills that share tags, products or a category with Earth2studio Install: Esmfold2 (JimLiu/science-skills, 227 stars), MUSA GPU Training Optimizer (open-infra-skills/infra-skills, 141 stars), Benchmark Tune (Mesh-LLM/mesh-llm, 3.5k stars) and Cuda Kernel Optimizer (KernelFlow-ops/cuda-optimized-skill, 212 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Earth2studio Install?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.

Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Earth2studio Install

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Earth2Studio Installation Skill

Never install packages automatically

Purpose

Prerequisites

Core principle: docs are the source of truth

Instructions

Step 1. Fetch live docs

Step 2. Understand the user's environment

Step 3. Base install

Step 4. Select models and extras

Step 5. Install selected extras

Step 6. Configuration (offer, don't force)

Troubleshooting

Limitations

Ownership and out-of-scope

Files

Compare with similar skills

Similar skills

More from NVIDIA/skills

Related

Questions about Earth2studio Install