Agent skill · Data & Analytics

climate-modeling-guide

Climate simulation, modeling tools, and climate data analysis methods

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill climate-modeling-guide --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/domains/geoscience/climate-modeling-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
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

# Climate Modeling Guide A skill for working with climate models and climate data in research contexts. Covers accessing CMIP archives, processing NetCDF data, running idealized climate simulations, statistical downscaling, and analyzing climate projections with Python tools. ## Climate Data Standards ### NetCDF and CF Conventions Climate data is stored in NetCDF (Network Common Data Form) files f

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About this skill
What does the climate-modeling-guide skill do?

Climate simulation, modeling tools, and climate data analysis methods

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill climate-modeling-guide --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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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