Data Analysis | Chalie Skills

What it does

Analyse a dataset, calculate statistics, run comparisons, and produce charts or summary tables.

When this skill is activated, Chalie follows these steps:

Use memory to recall any prior analysis on related data, then ask the user to describe the dataset (paste it, describe its structure, or state where it lives) and what question they want answered.
Use memory to recall any relevant prior context — units, domain conventions, or previous analyses on related data.
Use memory to check for any stored domain conventions, then clarify the analysis type: descriptive statistics, correlation, trend analysis, comparison across groups, ranking, or forecasting.
Use code_eval to load, clean, and validate the data — report any missing values, outliers, or type errors before proceeding.
Use code_eval to run the requested analysis: compute statistics, group comparisons, correlations, or growth rates with appropriate precision.
Use code_eval to generate a chart or summary table that makes the key finding visually clear — prefer a simple bar, line, or scatter as appropriate.
Use document to record the plain-language interpretation: the main finding, what drives it, and any caveats (sample size, data quality, assumptions).
Use document to save the analysis results and code so the user can reproduce or extend it later.

v1 (curated)