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CSV Data Summarizer

Drop in a CSV and get an immediate statistical summary plus only the visualizations that actually fit the data.

Data & AnalyticsBeginner44665AI score 10/10Last updated: Oct 16, 2025

What it does

  • Loads any CSV with pandas and reports rows, columns, dtypes and missing-value rates.
  • Infers the domain (sales, customer, financial, operational, survey, generic) and picks relevant analyses.
  • Plots selectively: time-series when date columns exist, correlation heatmaps for multiple numeric columns, distribution charts for categoricals.
  • Enforces a no-clarifying-questions policy so the first reply is a complete analysis with insights.

Who it's for

  • Business users who receive CSV exports but don't want to build pivots and charts by hand.
  • Marketing, sales and ops teams needing fast exploratory data analysis.
  • Junior analysts tired of rewriting the same pandas boilerplate.

Examples

  1. Attach sales_data.csv and say "summarize this file" → average order value, standard deviation, missing-data share, plus a monthly trend plot.
  2. "Analyze this customer CSV and show me trends" → segment and region distribution charts with demographic summary.
  3. "What insights can you find in orders.csv?" → pattern callouts such as Q4 peaks with actionable takeaways.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/coffeefuelbump/csv-data-summarizer-claude-skill/HEAD/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the SKILL.m folder from the GitHub repo coffeefuelbump/csv-data-summarizer-claude-skill into my ~/.claude/skills/csv-data-summarizer/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill.git ~/.claude/skills/csv-data-summarizer && pip install -r ~/.claude/skills/csv-data-summarizer/requirements.txt

This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Create the skills folder if needed: mkdir -p ~/.claude/skills
  3. Clone the repo: git clone https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill.git ~/.claude/skills/csv-data-summarizer
  4. Verify Python 3.8+: python3 --version
  5. Install dependencies: pip install -r ~/.claude/skills/csv-data-summarizer/requirements.txt (pandas, matplotlib, seaborn)
  6. Restart Claude Code, then ask it to "summarize this CSV" with a file path — the skill triggers automatically.
  7. Test with the bundled resources/sample.csv first to confirm charts render correctly.