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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 & AnalyticsBeginner★ 467⑂ 68AI 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.
View source on GitHub ↗