Earth2studio Install
NVIDIAOfficialCreated by NVIDIA Earth-2 Team
- Skill
- Tool integration
- Software development
- Apache-2.0
- Medium risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill assists users in the correct installation and configuration of the Earth2Studio framework. It focuses on providing accurate, up-to-date installation commands for various environments using uv or pip, helping users select appropriate model extras, and setting up necessary environment variables. The skill strictly adheres to a manual installation policy, requiring users to execute all commands themselves to ensure safety and transparency.
What it does
- Provides verified installation commands for Earth2Studio based on live documentation.
- Guides users in selecting relevant optional extras for prognostic, diagnostic, and data assimilation tasks.
- Assists in configuring environment variables for cache and timeout management.
- Verifies successful installation through Python environment checks.
- Offers troubleshooting guidance for common build issues like CUDA mismatches or missing system dependencies.
When to use it
- When you need to install Earth2Studio for the first time in a new or existing project.
- When you need to add specific model extras to an existing Earth2Studio installation.
- When you encounter environment configuration issues related to cache or data paths.
- When you need to verify that your current Python environment is correctly set up for Earth2Studio.
Advantages
- Ensures installation commands are aligned with the latest official documentation.
- Prevents unauthorized system modifications by requiring user-led execution.
- Helps manage complex dependency requirements for specialized model extras.
- Provides clear pathways for troubleshooting common build and environment errors.
Usage examples
- “How do I install Earth2Studio using uv?”
- The agent will fetch the latest installation instructions from the official documentation, recommend the appropriate uv command, and guide you through the verification process.
- “I need to add the GraphCast model to my Earth2Studio setup. What should I do?”
- The agent will identify the correct extra for GraphCast, provide the specific installation command, and warn you about potential build times or manual pre-requisites.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/nvidia/earth2studio-install/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip earth2studio-install.zip -d .agents/skills
Documentation by NVIDIA Earth-2 Team
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:
https://nvidia.github.io/earth2studio/userguide/about/install.htmlParse 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-isolationfor 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:
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)
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-isolationor pre-installing packages like earth2grid, torch-harmonics, or makaniData 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:
https://nvidia.github.io/earth2studio/userguide/support/troubleshooting.html
https://nvidia.github.io/earth2studio/userguide/support/faq.html
Common issues:
PyTorch/CUDA mismatch: verify
torch.cuda.is_available()firstflash-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) orconda install -c conda-forge eccodesPython.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
dataextra is out of scopeCannot 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
- ATTRIBUTION.mdAdded by AutoGineer931 B
- BENCHMARK.md3.8 KiB
- LICENSELicence file added by AutoGineer11.2 KiB
- SKILL.md6.4 KiB
- evals/evals.json3.4 KiB
- skill-card.md3.9 KiB
- skill.oms.sig4.5 KiB
LICENSE
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Requirements and compatibility
Written for: Claude Code
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Names Claude Code tools, Needs Python
Security
What our scanner noticed· Medium risk
- Large base64-encoded blobs
- Instructions that use the network
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Attribution and licence
- Created by
- NVIDIA Earth-2 Team
- Publisher
- NVIDIA (Official)
- Source
- NVIDIA/skills · skills/earth2studio-install · commit fce3cca
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE-APACHE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by NVIDIA Earth-2 Team or NVIDIA.
Download ZIP
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