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PhysicsNeMo navigation: models, pipelines, examples v1.0.0
Use this resource to find the PhysicsNeMo model, datapipe or example that fits a SciML task
New
- 381 downloads
- 194 likes
- 228 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install physicsnemo-model-navigationWith 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 searches the live PhysicsNeMo repository for files and examples that match your problem (surrogate, forecasting, inverse, generative). It never writes training code and cites only paths it has verified.
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: search method and answer format
- references/TAXONOMY.md: problem and model taxonomy
- references/RECIPES.md: reference recipes
Good fit for
- You want a surrogate model for a physics simulation and do not know where to start
- You look for a forecasting example in PhysicsNeMo
Not for
Tags
- physicsnemo
- scientific
- models
- navigation
About
You say
“Which PhysicsNeMo model should I use for a fluid surrogate built from my data?”
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 find the PhysicsNeMo model, datapipe or example that fits a SciML task
- Review and adjust the result
Content preview
Files
- BENCHMARK.md4.3 KB
- evals/evals.json4.2 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/RECIPES.md7.2 KB
- references/TAXONOMY.md12 KB
- skill-card.md3.8 KB
- SKILL.md7.4 KB
- skill.oms.sig4.9 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/physicsnemo-discover
- Licence
- Apache-2.0
Notice
« physicsnemo-discover » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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