📊 Turn Raw Data into a Polished Report

Upload messy data, and the AI cleans it, analyzes it, builds charts, and produces a downloadable PDF report.

You: $Data Report Generator
(drag-drop survey_responses.csv into the file browser)
Analyze this survey data and create a report for our team meeting.

What the AI does

1. Reads the CSV and identifies data quality issues
2. Cleans the data (fixes formatting, removes duplicates, handles missing values)
3. Computes statistics — response rates, averages, distributions
4. Generates charts (bar charts, pie charts, trend lines)
5. Assembles everything into a formatted PDF with title page, summary, charts, and data tables
6. Saves the PDF to the file browser for download

Skill content

Copy this into Workspace → Skills → Create:

---
name: data-report-generator
description: Analyzes data files and creates professional PDF reports with charts and summaries
---

## Data Analysis & Reporting

When asked to analyze data:

1. **Profile the data first**: Read the file and report row count, column types, missing values, duplicates
2. **Clean the data**: Standardize formats, fill or flag missing values, remove exact duplicates. Save the cleaned version as a separate file
3. **Find the story**: Identify distributions, outliers, correlations, and trends. Focus on the 3-5 most interesting findings
4. **Create charts**: Use matplotlib with a consistent color palette. Label all axes clearly. Save each chart as a PNG in a /charts directory
5. **Build the PDF**: Use reportlab or weasyprint to create a report with:
   - Title page with report name and date
   - Executive summary (3-5 bullet points)
   - One section per major finding with chart and interpretation
   - Data tables in an appendix
6. **Save everything** to a /reports directory

Always explain findings in plain English, not statistical jargon.