# CSV Summary

> Summarize a CSV file — row count, column types, missing values, and a preview table. Use when the user uploads a .csv and wants a quick overview before analysis.

- Skill: `yasir-khan-7/csv-summary` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yasir-khan-7/csv-summary`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yasir-khan-7/csv-summary/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: Yasir-Khan-7 (https://skillmd.com/u/yasir-khan-7)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/yasir-khan-7/csv-summary

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# CSV Summary

## When to use
The user has a CSV file and wants to understand its shape before doing anything else.

## Steps
1. Read the file path the user provided.
2. Run `scripts/summarize.py <path>`.
3. Report row count, column dtypes, null counts, and the first five rows.

## Notes
- Do not modify the source file.
- If the file is larger than 100 MB, read it in chunks.