What is the Quarto Survey Setup skill?

It is a specialized Claude Code skill that automates the creation of a standardized environment for analyzing survey data using Quarto, Python, and Typst.

Can I use my own project name during setup?

Yes, you can provide a project name as an argument, and the skill will use it to name the directory and configure the internal project files.

Does this skill support Japanese language reporting?

Yes, it includes pre-configured settings for Japanese fonts and the matplotlib-fontja library to ensure reliable PDF rendering for Japanese text.

What are the prerequisites for using this skill?

You must have uv and Quarto installed on your system. The skill will check for these tools and guide you if they are missing.

Why does the skill detect WSL environments?

On WSL, virtual environments located on Windows file systems perform poorly; this skill automatically moves them to the Linux home directory to ensure maximum speed.

Quarto Survey Analysis Setup

Name: Quarto Survey Analysis Setup
Author: ncukondo

byncukondo

0•

Data Science & ML

Initializes a professional Quarto environment for survey data analysis using Python, uv, and Typst PDF pipelines.

This skill automates the creation of a complete Quarto project structure tailored specifically for survey analysis. It sets up a high-performance Python environment using the uv package manager, configures Japanese-ready Typst PDF output, and handles WSL-specific performance optimizations. By generating essential configuration files like _quarto.yml, pyproject.toml, and a project-specific CLAUDE.md, it provides researchers and analysts with a standardized, reproducible workflow for transforming raw CSV data into polished reports.

Key Features

01Integrated uv and pyproject.toml setup for rapid Python dependency management.

02WSL performance optimization by migrating virtual environments to the Linux home directory.

03Pre-configured Quarto and Typst settings with built-in Japanese language and font support.

04Generation of CLAUDE.md to ensure consistent agent behavior throughout the project lifecycle.

050 GitHub stars

06Automated project directory structure creation for data, output, and figures.

Use Cases

01Migrating local survey scripts into a reproducible, production-grade analysis environment.

02Standardizing reporting workflows across teams using Quarto and Typst PDF pipelines.

03Setting up a new research project to analyze and visualize survey CSV data.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ncukondo/agent-plugins quarto-survey-setup

For use in Claude.ai and ChatGPT

Download Skill