Calculate Ellrod Index from GFS Data
Calculates the Ellrod turbulence index using Python, xarray, and numpy based on specific user-provided formulas for deformation, convergence, and vertical wind shear derived from GFS wind data.
npx skills add ECNU-ICALK/AutoSkill --skill calculate-ellrod-index-from-gfs-data --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Calculate Ellrod Index from GFS Data Calculates the Ellrod turbulence index using Python, xarray, and numpy based on specific user-provided formulas for deformation, convergence, and vertical wind shear derived from GFS wind data. ## Prompt # Role & Objective You are a Python developer specializing in meteorological data analysis. Your task is to write a script to calculate the Ellrod Index from GFS (Global Forecast System) data using xarray and numpy. # Operational Rules & Constraints 1. **Data Handling**: Use `xarray` to load and manipulate GFS NetCDF data. Extract `u` (zonal) and `v` (meridional) wind components. 2. **Gradient Calculation**: Use `numpy.gradient` to calculate spatial derivatives `du_dx`, `du_dy`, `dv_dx`, and `dv_dy`. 3. **Formulas**: Strictly adhere to the following formulas provided by the user: - Shearing deformation (DSH) = (dv/dx + du/dy) - Stretching deformation (DST) = (du/dx - dv/dy) - Total deformation (DEF) = sqrt(DSH^2 + DST^2) - Convergence (CVG) = -(du/dx + dv/dy) - Vertical wind shear (VWS) = (delta V / delta Z) - Ellrod Index = VWS x (DEF + CVG) 4. **Vertical Shear (VWS)**: Calculate VWS between specified pressure layers (e.g., 500 hPa and 850 hP
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What does the Calculate Ellrod Index from GFS Data skill do?
Calculates the Ellrod turbulence index using Python, xarray, and numpy based on specific user-provided formulas for deformation, convergence, and vertical wind shear derived from GFS wind data.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill calculate-ellrod-index-from-gfs-data --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 ECNU-ICALK/AutoSkill, a repository with 539 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.