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Agent Skill

Earth2studio Create Diagnostic skill

earth2studio-create-diagnosticNVIDIA/skillsskills/earth2studio-create-diagnostic/SKILL.md

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.

3.7kApache-2.0

always on

54 tokname + description

once used

3,198 tokSKILL.md body

bundled files

1910 scripts

repo stars

3.7kGitHub

Install the Earth2studio Create Diagnostic skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/NVIDIA/skills --skill earth2studio-create-diagnostic

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/skills/earth2studio-create-diagnostic ~/.claude/skills/earth2studio-create-diagnostic

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description54 tok
When the agent uses itThe SKILL.md instructions3,198 tok
Only if opened19 bundled files (93 KB)varies

Until it is used, earth2studio-create-diagnostic costs about 25× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from NVIDIA/skills would load 20,796 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Quick Start Checklist
  • Purpose
  • Prerequisites
  • Limitations
  • Diagnostic Model Types
  • Workspace
  • Reference Files
  • Instructions
  • Step 0 - Get Reference Material
  • Step 1 - Analyze Type and Propose Dependencies
  • Step 2 - Add Dependencies
  • Step 3 - Create Model File
  • Step 4 - Implement Coordinates
  • Step 5 - Implement Forward Pass
  • Step 6 - Implement Model Loading
  • Step 7 - Write Tests
  • Step 8 - Register Model
  • Step 9 - Documentation
  • Step 10 - Validation (if requested)
  • Step 11 - PR (if requested)
  • Examples
  • Simple Diagnostic
  • AutoModel Diagnostic
  • Generative Diagnostic

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