Agent skill · Data & Analytics

earth2studio-create-diagnostic

Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics. Do NOT use for prognostic time-stepping models, data sources, or installation.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexships scriptsApache-2.0
Install
npx skills add NVIDIA/skills --skill earth2studio-create-diagnostic --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 20
SKILL.md size: 14 KB
Bundled scripts: yes
Version: 0.16.0
Declared author: NVIDIA Earth-2 Team <agent-skills@nvidia.com>
Path: skills/earth2studio-create-diagnostic/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,789
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Quick Start Checklist Do these steps in order. Do not skip ahead. Before editing, read this SKILL.md and load the relevant reference files for the model type. After implementation, run the focused pytest command before saying tests pass. If tests cannot run, report the exact command and failure instead of claiming success. - [ ] Read this SKILL.md completely first - [ ] Get the reference script

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About this skill
What does the earth2studio-create-diagnostic skill do?

Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics. Do NOT use for prognostic time-stepping models, data sources, or installation.

How do I install it?

Run `npx skills add NVIDIA/skills --skill earth2studio-create-diagnostic --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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