data-skill

Generate R and Python scripts for data analysis workflows in Quarto QMD projects.

1|1|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/jason-jj-li/skills --skill data-skill-jason-jj-li
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-skill
Source: https://github.com/jason-jj-li/skills/tree/main/data-skill
Command: npx skills add https://github.com/jason-jj-li/skills --skill data-skill-jason-jj-li

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

AI-driven hybrid data analysis workflow across R (tidyverse and ggplot2) and Python (pandas and seaborn) that reduces repetitive tasks by providing templates for common steps and AI-generated code, speeding up cleaning, processing, visualization, and reporting, including Quarto qmd integration.

Core Features & Use Cases

  • Hybrid templates for standard patterns (explore_variable, clean_data, process_data, plot_scatter, plot_bar, plot_box, statistical_test, plot_dag, tte_cloning) in R and their Python equivalents.
  • AI-assisted code generation for custom data needs when templates do not fit.
  • Built-in MCP Context7 guidance and QMD integration practices to streamline reproducible reporting.
  • Renders ready-to-run scripts and supports lifecycle phases: Understand, Prepare, Analyze, Visualize, and Report.

Quick Start

Describe your data task and let the templates or AI generate runnable code you can execute to start analysis.

Frequently Asked Questions about data-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate data cleaning and visualization workflows in Python and R?

Automate data cleaning and visualization workflows by using pre-built R tidyverse and Python pandas templates that generate runnable code for standard data processing and plotting patterns.

What is the best way to generate reproducible Quarto reports from data analysis scripts?

Generate reproducible Quarto reports by integrating QMD project practices with AI-assisted code generation, streamlining the transformation of analysis scripts into formatted reporting outputs.

Can I use Python pandas and seaborn templates alongside R ggplot2 in the same project?

Use Python pandas and seaborn templates alongside R ggplot2 within a hybrid workflow, applying equivalent standard patterns for data exploration and plotting across both languages.

How do I create custom data transformation code when standard templates do not fit my dataset?

Create custom data transformation code by leveraging AI-assisted code generation to produce tailored scripts when standard templates for data processing and exploration do not fit.

Does this data analysis template support statistical testing and survival analysis tasks?

Data analysis templates support statistical testing and survival analysis tasks by providing standard patterns like statistical_test and tte_cloning for both R and Python environments.

How to handle end-to-end data exploration and reporting without writing repetitive boilerplate code?

Handle end-to-end data exploration and reporting by applying templates across lifecycle phases to understand, prepare, analyze, visualize, and report data, eliminating repetitive boilerplate.