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CSV Data Analysis
Use Claude Code to analyze CSV files, find patterns, and create visualizations from Salesforce, Stripe, GA exports. No coding required.
By Anthropic
Official skill
About
You exported data from Salesforce, Stripe, or Google Analytics. Now you're staring at 10,000 rows trying to figure out what it means. Instead, just drop in the CSV and ask. Get answers, patterns, and charts without touching a spreadsheet or writing any code.
Stop scrolling through endless rows hoping patterns will jump out. Start asking questions and getting answers. Ask questions, get answers Drop in any CSV. Ask what you want to know. Get insights without writing a single formula. See patterns visually Claude creates charts and summaries that reveal what's hiding in your data. Trends, outliers, distributions—all visible at a glance. Clean messy data automatically Missing values, weird formats, duplicate rows. Claude finds the problems and fixes them so you can focus on analysis.
Best for
- · Analyze any data export without writing code or formulas
- · Get instant charts and visualizations that reveal patterns
- · Clean messy data automatically before analysis
- · Works with exports from Salesforce, Stripe, GA, and any other tool
Not for
- · Very large CSVs (millions of rows) may need to be sampled or split
- · Complex time-series analysis may need multiple focused queries
- · Charts are rendered locally—export as images for sharing
How to use
- 1Install the SkillDownload the skill file directly, or install via the plugin marketplace. Skills auto-activate when relevant—no manual invocation needed.
- 2Ask What You NeedBe specific. "Which customers churned last month?" beats "analyze this data." The more precise your question, the more useful the answer.
- 3Point to Your FileDrag the CSV into your terminal or paste the path. Your data stays on your machine.
- 4Keep ExploringClaude remembers the data. Ask follow-ups. Drill into segments. No need to re-upload.
Source
@anthropics on GitHubhttps://github.com/anthropics/skills/tree/main/skills/csv
Someone else wrote this — read the source, verify it does what it says, and never share a password or API key with it.
Example prompts
Make sense of a Salesforce export
/csv I exported our closed-won deals from Salesforce. Show me: (1) Win rate by sales rep, (2) Average deal size by industry, (3) Which lead sources convert best. Give me the numbers and a chart.
Debug payment failures in Stripe data
/csv This is 6 months of Stripe transactions. Why are we seeing so many failures in Germany? Break down by card type, failure reason, and time of day.
Find churn signals in user data
/csv Here's our user activity export. Which behaviors predict churn? Compare users who left vs users who stayed. Show me the patterns.
Clean up messy data before analysis
/csv This CSV is a mess—duplicate rows, inconsistent date formats, empty values everywhere. Clean it up and show me what we actually have to work with.
Quick answers from Google Analytics export
/csv From this GA export: Which landing pages have the highest bounce rate? Which traffic sources drive actual conversions, not just visits?
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