Compute CSV summaries and generate a markdown report with histogram plot.
npx skills add https://github.com/simonw/research --skill csv-insights
Please help me install this Agent Skill. Skill: csv-insights Source: https://github.com/simonw/research/tree/main/openai-api-skills/csv_insights_skill Command: npx skills add https://github.com/simonw/research --skill csv-insights
This Skill automates the quick exploration of CSV data by generating a readable summary and basic statistics, plus a ready-to-share report and a plot.
Provide a CSV file path and an output directory to generate a Markdown report and a histogram plot.
High-intent search queries and answers about installing and using this skill.
To generate summary statistics and a data visualization from a CSV file, you can use this Skill to compute row counts, missing values, and descriptive statistics, outputting a markdown report and a histogram plot.
Yes, you can use pandas and matplotlib to automate a markdown report for CSV data exploration, as this Skill computes numeric summaries and missing value counts to generate a readable report and plot.
This CSV statistics tool is designed for small to medium datasets, providing lightweight data exploration, quality assurance, and dashboard generation rather than processing large-scale data.
The best way to check missing values and data types in a CSV file is using this Skill, which automatically calculates missing value counts and data types alongside basic descriptive statistics.
To create a histogram plot for the first numeric column in your CSV data, this Skill uses matplotlib to automatically generate and save a plot.png file in your designated output directory.
Your CSV data summary only includes numeric columns in the histogram because the Skill is designed to automatically plot the first numeric column it detects for a concise, readable data exploration summary.
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