coffeefuelbump / csv-data-summarizer-claude-skill

The csv-data-summarizer skill activates automatically once a CSV is uploaded to Claude.ai and runs analyze.py: pandas computes summary statistics and a correlation matrix, and matplotlib/seaborn write out a time-series plot, a correlation heatmap, a distribution histogram, and a categorical bar chart. It needs Python 3.8+, pandas, matplotlib, and seaborn — nothing else — which is why it is one of the few packages we can mark ready to run with no account or API key.

Read past the README and there isn't much more to it: one script, one sample profit-and-loss dataset, and no configuration surface — you don't choose which charts get made or how the summary is worded. Most of the README itself is not about the skill: badges and links point to the author's (GitHub handle coffeefuelbump) Skool community, YouTube membership, and Twitter before the installation steps even start. If you want quick, unopinionated CSV visualizations and don't mind a promotional readme, this does what it says; if you need control over which charts come out, look elsewhere.

READ THE FULL ANALYSIS＋

3 of the 4 skills this repository has ever listed are now dead. We only have material for the one still live, csv-data-summarizer — the README does not name or describe the other three, and nothing in the current repository tree documents what they were, so we cannot say what was lost.