Agent skill · data analytics · claude-office-skills
data-analysis
Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.
Why this skill is useful
Provides specific commands for analyzing spreadsheet data that the AI wouldn't reliably generate on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-01-31. 363 stars on the source repository.
What this skill does
Data Analysis Assistant Analyze data in spreadsheets, uncover insights, and create compelling visualizations. Overview This skill helps you: Understand and explore your data Perform statistical analysis Generate insights and recommendations Create charts and visualizations Write formulas and queries How to Use Getting Started 1. Share your spreadsheet or data file 2. Describe what you want to analyze 3. Get insights, formulas, or visualizations Analysis Types Exploratory Analysis Specific Questions Visualization Requests Output Formats Data Overview Statistical Analysis Insight Report Common Analysis Workflows Sales Analysis Customer Analysis Financial Analysis Formula Generation Request Formulas Formula Output excel =SUMIFS(Sales[Amount], Sales[Region], "North", Sales[Date], ">="&DATE(2025,1,1)) Visualization Recommendations Choose the Right Chart Data Type Best Chart ----------- ------------ Trends over time Line chart Part of whole Pie/Donut chart Comparison Bar chart Distribution Histogram Correlation Scatter plot Geographic Map chart Chart Specifications Advanced Analysis Pivot Table Design Cohort Analysis Best Practices For Better Analysis 1. Clean data first: Handle missing values, duplicates 2. Define metrics clearly: What exactly are you measuring? 3. Consider context: Industry benchmarks, seasonality 4. Validate findings: Cross-check with other data sources For Better Visualizations 1. Keep it simple: One main message per chart 2. Label clearly: Title, axes, legend 3. Use appropriate scale: Don't truncate misleadingly 4. Consider colorblind users: Use patterns or distinct colors Limitations Cannot directly execute code on your data Large datasets may need sampling Complex statistical models need specialized tools Real-time data requires live connections Cannot guarantee 100% accuracy on OCR'd data
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills claude-office-skills/data-analysis