What are Claude Code Skills?

Claude Code Skills are reusable prompt templates stored as markdown files in your project's .claude/skills/ directory. They let you codify best practices and common workflows into slash commands that Claude follows consistently.

How do I create a Claude Code Skill?

Create a markdown file in .claude/skills/ with instructions for Claude. The filename becomes the command name — for example, .claude/skills/code-review.md can be invoked with /code-review during a Claude Code session.

Can I share skills with my team?

Yes. Skills stored in .claude/skills/ can be committed to version control so every team member has access to the same standardized workflows. You can also organize skills into subdirectories by category.

What is the difference between project and global skills?

Project skills (.claude/skills/) are specific to the current project and are committed to git. Global skills (~/.claude/skills/) are personal skills available across all your projects.

data-analysis

New

Community RegistryData-analyticsby Analytics Team · MIT

Process, analyze, and visualize data from Excel spreadsheets, CSV files, and various data sources. Use when working with spreadsheets, performing statistical analysis, or creating data visualizations.

Install & Usage

Create the skills directory

mkdir -p .claude/skills

Download the skill file

Copy the skill instructions below to .claude/skills/data-analysis.md

Invoke in Claude Code

/data-analysis

View source on GitHub

data-analysisexcelcsvstatisticsvisualizationpandasdataanalysis

Frequently Asked Questions

What is data-analysis?

How to install data-analysis?

To install data-analysis, create the .claude/skills directory in your project, then copy the skill instructions to a .md file in that directory. Once installed, invoke it in Claude Code with /data-analysis.

What is data-analysis best for?

data-analysis is a community categorized under Data-analytics. It is designed for: data-analysis, excel, csv, statistics, visualization, pandas, data, analysis. Created by Analytics Team.