Individual skill
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.
skills/earth2studio-create-diagnostic/SKILL.md
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- earth2studio Declared skill tag
- diagnostic-model Declared skill tag
- python Declared skill tag
- data Derived category
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BENCHMARK.mddoc · 3,502 bytesSKILL.mdcore · 14,796 bytesSKILL.mdcore · 14,796 bytesSKILL.mdcore · 14,796 bytesSKILL.mdcore · 14,796 bytesSKILL.mdcore · 14,796 bytesSKILL.mdcore · 14,796 bytesSKILL.mdcore · 14,796 bytesSKILL.mdcore · 14,796 bytesevals/config.ymlasset · 1,401 bytesevals/environment/Dockerfileruns · 1,449 bytesevals/environment/setup/bootstrap.shruns · 1,279 bytesevals/evals.jsonasset · 5,020 bytesevals/targets/eval_1_target.pyruns · 4,169 bytesevals/targets/eval_2_target.pyruns · 6,170 bytesevals/targets/eval_3_target.pyruns · 9,692 bytesevals/targets/test/eval_1_test_target.pyruns · 4,268 bytesevals/targets/test/eval_2_test_target.pyruns · 5,014 bytesevals/targets/test/eval_3_test_target.pyruns · 7,154 bytesreferences/method-templates.pyruns · 5,964 bytesreferences/pr-body-template.mddoc · 2,763 bytesreferences/pr-comment-template.mddoc · 2,285 bytesreferences/skeleton-template.pyruns · 10,642 bytesreferences/testing-guide.pyruns · 8,039 bytesreferences/validation-guide.mddoc · 4,471 bytesskill-card.mddoc · 3,942 bytesskill.oms.sigasset · 8,293 bytes
Read excerpt
## 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, repo, paper, or model documentation (Step 0)
- [ ] Classify the diagnostic as simple, AutoModel, or generative (Step 1)
- [ ] Propose dependency extras before editing dependency files (Step 1)
- [ ] Create `earth2studio/models/dx/<name>.py` with diagnostic-only APIs
- [ ] Create `test/models/dx/test_<name>.py` with mock tests