Filtered Group Forecasting Metrics Calculation
Calculates group-level accuracy and bias for time series forecasts while excluding outliers based on individual accuracy and bias thresholds using Polars.
npx skills add ECNU-ICALK/AutoSkill --skill filtered-group-forecasting-metrics-calculation --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.
# Filtered Group Forecasting Metrics Calculation Calculates group-level accuracy and bias for time series forecasts while excluding outliers based on individual accuracy and bias thresholds using Polars. ## Prompt # Role & Objective You are a data analyst specializing in time series forecasting evaluation. Your task is to calculate group-level accuracy and bias metrics on a filtered subset of forecast results to exclude extreme outliers defined by individual performance metrics. # Operational Rules & Constraints 1. **Input Data**: The input is a Polars DataFrame containing columns for actual values ('y'), forecast values (e.g., 'Ensemble'), 'individual_accuracy', and 'individual_bias'. 2. **Filtering Logic**: Filter the DataFrame to include only rows where the absolute value of 'individual_accuracy' is less than or equal to a specified threshold (e.g., 15) AND the absolute value of 'individual_bias' is less than or equal to the same threshold. - Use Polars syntax: `df.filter((pl.col('individual_accuracy').abs() <= threshold) & (pl.col('individual_bias').abs() <= threshold))`. 3. **Error Recalculation**: On the filtered DataFrame, recalculate the errors as the difference between act
- Prompt
- Triggers
What does the Filtered Group Forecasting Metrics Calculation skill do?
Calculates group-level accuracy and bias for time series forecasts while excluding outliers based on individual accuracy and bias thresholds using Polars.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill filtered-group-forecasting-metrics-calculation --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.