Profile My skills Saved Collections Edit profile Submit a skill

← all publishers

yuanruichen

@yuanruichen source repo

4 published skills

  1. ▌
    Metforge Data · yuanruichen bundle
    Acquire and prepare atmospheric, climate, and Earth-system datasets reproducibly. Use when the agent needs to find an authoritative dataset, choose among ERA5/CMIP/GPM/MERRA-2/NOAA or similar products, download or subset NetCDF/GRIB/Zarr data, write CDS/Earthdata/ESGF/OPeNDAP acquisition code, inspect coordinates and metadata, estimate request size, preserve raw inputs, or create a provenance manifest for later analysis. Also use for xarray/dask preprocessing when data acquisition and dataset integrity are central to the task.
    0
    installs
  2. ▌
    Metforge Figure · yuanruichen bundle
    Design, create, revise, and audit atmospheric-science figures. Use for maps, map differences, vertical sections, Hovmöller diagrams, profiles, spectra, budgets, convergence plots, conservation/error-growth diagnostics, ensemble comparisons, and publication multi-panel figures from NetCDF/xarray or tabular data. Also use when the agent must inspect an existing figure or plotting script for scientific clarity, comparable scales, units, color choices, statistical overlays, layout, provenance, or export quality. Combines MetForge's former plot and figure-audit workflows into one evidence-first loop.
    0
    installs
  3. ▌
    Metforge Analysis · yuanruichen bundle
    Perform reproducible atmospheric-science calculations and statistical diagnostics. Use when the agent needs to calculate established or custom climate indices, derive meteorological variables, compute trends, detrend or filter time series, perform EOF/PCA, regression, correlation, composites, bootstrap or significance tests, or build coordinate-aware xarray workflows from NetCDF/GRIB/Zarr data. Prefer validated implementations from MetPy, xarray, SciPy, statsmodels, xclim, xeofs/eofs, xskillscore, or another established package before implementing formulas manually. Not for diagnosing why a numerical model or dynamical-core test fails; use metforge-model-diagnose for that.
    0
    installs
  4. ▌
    Metforge Model Diagnose · yuanruichen bundle
    Diagnose atmospheric-model and dynamical-core experiments. Use for idealized tests, balanced flow, hydrostatic rest, density currents, advection, gravity/acoustic waves, mountain waves, baroclinic instability, conservation and budget closure, error growth, convergence, timestep/resolution/domain/MPI sensitivity, solver comparisons, and physical-consistency failures. Also use when the agent must design the smallest experiment that distinguishes discretization error, round-off, solver behavior, configuration differences, parallel decomposition, and genuine physical response. Not for general indices, trends, filtering, EOFs, regression, or composites; use metforge-analysis for those calculations.
    0
    installs