Run3 glm config optimization

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

Install

npx -y skills add cxcscmu/SkillLearnBench --skill run3_glm-config-optimization

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What its author says it does

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Manage and calibrate General Lake Model (GLM) configuration files (glm3.nml) within specified parameter constraints and physical ranges.

1.0 KB, as published. Nobody here has run it

Parameter Constraints: Only modify the permitted calibration parameters: Kw, coef_mix_hyp, wind_factor, lw_factor, and ch. Do not alter sw_factor, cd, ce, or initialization profiles (the_depths, the_temps, the_sals).
Range Validation: Ensure all final values remain within the published calibration ranges:
- Kw: [0.1, 0.5]
- coef_mix_hyp: [0.3, 0.7]
- wind_factor: [0.7, 1.3]
- lw_factor: [0.7, 1.3]
- ch: [0.0005, 0.002]
Setup Verification: Ensure the &glm_setup section correctly defines the simulation period (e.g., 2009-01-01 to 2015-12-30) to align with required output timestamps.
Consistency: Verify that the_depths in &init_profiles are correctly interpreted as distance from the surface (depth) while the model internal coordinates (z) are height from the bottom.