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Glm calibrator

Skill cxcscmu/SkillLearnBench/skills/b4-skill-creator-gemini-3-flash-preview/temperature-simulation/glm-calibrator

Calibrate GLM by adjusting key parameters to minimize RMSE. Use this skill when you need to iteratively tune model parameters to meet performance thresholds.From its SKILL.md

Install
npx -y skills add cxcscmu/SkillLearnBench --skill glm-calibrator

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 340 tokens by cl100k_base, as published. Nobody here has run it

GLM Calibrator Skill

Calibration Strategy

  1. Baseline Run: Start with the original glm3.nml parameters.
  2. Sensitivity Analysis: Understand how Kw, coef_mix_hyp, wind_factor, lw_factor, and ch affect simulation results (e.g., Kw affects deep temperatures).
  3. Iteration Loop:
    • Adjust one or more parameters within the allowed ranges.
    • Run the simulation using glm-runner.
    • Evaluate performance using glm-evaluator.
    • Repeat until all three RMSE checks are satisfied:
      • overall_rmse < 1.60
      • annual_deep_rmse < 1.55
      • summer_deep_rmse < 1.70
  4. Parameter 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]

Key Calibration Targets

  • Kw: Light extinction coefficient (higher Kw leads to cooler deep waters).
  • wind_factor: Scaling factor for wind speed (affects surface mixing).
  • coef_mix_hyp: Scaling factor for hypolimnetic mixing.
  • lw_factor: Scaling factor for longwave radiation.
  • ch: Bulk transfer coefficient for sensible heat.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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