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Data analysis

Skill cxcscmu/SkillLearnBench/skills/b1-one-shot-gemini-3.1-flash-lite-preview/temperature-simulation/data-analysis

[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 data-analysis

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What its author says it does

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This skill covers computing RMSE metrics from observational and simulated water temperature data.

SKILL.md

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Data Analysis Skill

Metrics Calculation

To calculate RMSE:

  1. Load observed and simulated data.
  2. Align data by date and depth.
  3. Use exact date-time match and rounded depth (nearest integer meter) for pairing.
  4. Calculate RMSE: sqrt(mean((observed - simulated)^2))

RMSE Targets

  • Overall RMSE: < 1.60
  • Annual Deep RMSE: < 1.55 (depth >= 13 m)
  • Summer Deep RMSE: < 1.70 (depth >= 13 m, months 6-9)

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