Do I need Quarto installed to use this skill?

Yes, this skill requires Quarto and Python (managed via uv) to be installed on your local environment to render the final reports.

How does it handle complex Likert scale data?

It allows you to define custom scales (negative to positive) and automatically generates frequency distributions, horizontal bar charts, and stacked cross-tabulations.

What file formats does this skill support?

The skill primarily processes CSV input files (UTF-8 with BOM) and generates Quarto (.qmd) files, PDF reports, and PowerPoint (.pptx) presentations.

Can I customize the logic for open-ended text analysis?

Absolutely. The skill provides a framework for keyword-based classification that you can customize to match the specific themes found in your survey data.

Does it support multi-language surveys, specifically Japanese?

Yes, it is pre-configured with Japanese font support (Yu Gothic) and handles UTF-8 encoding to ensure characters display correctly in charts and reports.

Survey Report Builder

Name: Survey Report Builder
Author: ncukondo

byncukondo

0•

Ciencia de Datos y ML

Automates the generation of professional Quarto PDF reports and PowerPoint presentations from CSV survey data.

Survey Report Builder is a specialized Claude Code skill designed to streamline the end-to-end workflow of survey data analysis. It intelligently guides users through importing CSV data, classifying variables—such as Likert scales, categorical data, and open-ended responses—and generating comprehensive Quarto-based reports. By automating data visualization, cross-tabulation, and qualitative theme analysis using Matplotlib and Python, this skill enables analysts to transform raw data into presentation-ready PDF and PPTX formats with minimal manual effort.

Características Principales

01Dynamic generation of Quarto (QMD) files for high-quality PDF report rendering.

02Automated PowerPoint (PPTX) slide deck generation for summary presentations.

03Advanced data visualization including frequency distributions, cross-tabs, and theme-based bar charts.

04Keyword-based qualitative analysis for categorizing open-ended survey responses.

050 GitHub stars

06Automated classification of survey columns into Likert, Categorical, and Free Text types.

Casos de Uso

01Creating academic or market research reports with standardized Likert scale visualizations.

02Generating internal organizational feedback reports from employee engagement surveys.

03Automating the production of executive presentation decks from customer satisfaction CSV data.

Características Principales

01Dynamic generation of Quarto (QMD) files for high-quality PDF report rendering.

02Automated PowerPoint (PPTX) slide deck generation for summary presentations.

03Advanced data visualization including frequency distributions, cross-tabs, and theme-based bar charts.

04Keyword-based qualitative analysis for categorizing open-ended survey responses.

050 GitHub stars

06Automated classification of survey columns into Likert, Categorical, and Free Text types.

Casos de Uso

01Creating academic or market research reports with standardized Likert scale visualizations.

02Generating internal organizational feedback reports from employee engagement surveys.

03Automating the production of executive presentation decks from customer satisfaction CSV data.