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Earth2Studio model and data source selection v1.0.0
Use this resource to choose Earth2Studio models, data sources and examples for a weather or climate case
New
- 320 downloads
- 197 likes
- 215 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install earth2studio-model-data-finderWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent reads the live Earth2Studio documentation, compares models by GPU memory and forecast class, then checks data source compatibility through the lexicon. You get reasoned recommendations and gallery examples.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: recommendation method and interaction protocol
- BENCHMARK.md: evaluation criteria
- evals/evals.json: test cases
Good fit for
- You want a medium-range forecast and do not know which model to pick
- You look for a downscaling example for climate data
Not for
Tags
- earth2studio
- weather
- models
- climate
About
You say
“Which Earth2Studio model for a medium-range forecast on a GPU with little memory?”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to choose Earth2Studio models, data sources and examples for a weather or climate case
- Review and adjust the result
Content preview
Files
- BENCHMARK.md4 KB
- evals/evals.json4.9 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md4.1 KB
- SKILL.md8.5 KB
- skill.oms.sig4.5 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/earth2studio-discover
- Licence
- Apache-2.0
Notice
« earth2studio-discover » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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