<h1 align="center">R Analytics Skill</h1> Comprehensive R Language Analytics Skill for Claude Code 250+ packages across 15 domains — data manipulation, visualization, machine learning, and more <a href="LICENSE"><img src="https://img.shields.io/github/license/LeoLin990405/r-analytics-skill?style=flat-square" alt="License"></a> <a href="https://github.com/LeoLin990405/r-analytics-skill/stargazers"><img src="https://img.shields.io/github/stars/LeoLin990405/r-analytics-skill?style=flat-square" alt="Stars"></a> <a href="https://github.com/LeoLin990405/r-analytics-skill/issues"><img src="https://img.shields.io/github/issues/LeoLin990405/r-analytics-skill?style=flat-square" alt="Issues"></a> <img src="https://img.shields.io/badge/Claude%20Code-Skill-8A2BE2?style=flat-square&logo=anthropic&logoColor=white" alt="Claude Code Skill"> <img src="https://img.shields.io/badge/R-276DC3?style=flat-square&logo=r&logoColor=white" alt="R Language"> <a href="#-features">Features</a> • <a href="#-quick-start">Quick Start</a> • <a href="#-sub-skills-overview">Sub-Skills</a> • <a href="#-project-structure">Structure</a> • <a href="CONTRIBUTING.md">Contributing</a>

English | 中文

Features

| Metric | Value | Details | |--------|------:|:--------| | Domains | 15 | Data, Viz, ML, Web, Spatial, Network, NLP, Stats, Bio, Dev, Parallel, Syntax, Language API, Logging, Learning | | Categories | 70+ | Specific sub-domains within each area | | Packages | 250+ | Individual R package skill files | | SKILL.md files | 357 | Total skill definitions across the tree | | References | 18 | Curated guides covering R4DS, Advanced R, Graphics Cookbook, Tidyverse, Bioconductor |

Highlights

| Area | Key Packages | |------|--------------| | Data Manipulation | dplyr, data.table, tidyr, purrr, lubridate, arrow | | Visualization | ggplot2, plotly, leaflet, highcharter, echarts4r, gganimate | | Machine Learning | tidymodels, caret, mlr3, xgboost, lightgbm, keras, torch | | Web & Reports | Shiny, plumber, rmarkdown, quarto, httr2 | | Spatial Analysis | sf, terra, tmap, leaflet, stars | | Bioinformatics | DESeq2, GenomicRanges, Biostrings, edgeR |

Quick Start

Installation

cd ~/.claude/skills
git clone https://github.com/LeoLin990405/r-analytics-skill.git r-analytics

Verify

ls ~/.claude/skills/r-analytics/SKILL.md

Usage

Once installed, Claude Code automatically picks up the skill. Just ask naturally:

"How do I use dplyr to filter and summarize data?"
"Create a ggplot2 scatter plot with regression line"
"Show me how to use tidymodels for classification"
"Analyze this CSV file with R"

Requirements

R 4.0+
Claude Code CLI

Sub-Skills Overview

| Sub-Skill | Directory | Description | |-----------|-----------|-------------| | R Data | sub-skills/r-data/ | Data manipulation, formats, databases (dplyr, data.table, DBI, arrow) | | R Viz | sub-skills/r-viz/ | Visualization (ggplot2, plotly, leaflet, HTML widgets) | | R ML | sub-skills/r-ml/ | Machine learning (tidymodels, xgboost, caret, deep learning) | | R Web | sub-skills/r-web/ | Web technologies & reproducible research (Shiny, rmarkdown) | | R Stats | sub-skills/r-stats/ | Bayesian analysis, optimization, finance (Stan, quantmod) | | R NLP | sub-skills/r-nlp/ | Natural language processing (tidytext, quanteda, tm) | | R Bio | sub-skills/r-bio/ | Bioinformatics (Bioconductor, DESeq2, GenomicRanges) | | R Network | sub-skills/r-network/ | Network analysis (igraph, tidygraph, visNetwork) | | R Spatial | sub-skills/r-spatial/ | Spatial analysis (sf, terra, leaflet, tmap) | | R Dev | sub-skills/r-dev/ | R development (devtools, testthat, roxygen2, Rcpp) | | R Parallel | sub-skills/r-parallel/ | Parallel computing & performance (future, Rcpp, Spark) | | R Syntax | sub-skills/r-syntax/ | Pipe operators & syntax extensions | | R Language API | sub-skills/r-language-api/ | Python, JavaScript, Java, C++ interfaces | | R Logging | sub-skills/r-logging/ | Application logging frameworks | | R Learning | sub-skills/r-learning/ | Interactive learning tools | | R Resources | sub-skills/r-resources/ | Learning resources (books, courses, cheat sheets) |

Project Structure

r-analytics-skill/
├── SKILL.md                  # Main skill entry point
├── README.md                 # This file
├── README_CN.md              # Chinese documentation
├── LICENSE                   # MIT License
├── CONTRIBUTING.md           # Contribution guidelines
├── CHANGELOG.md              # Release history
├── .github/
│   ├── workflows/
│   │   └── claude-review.yml # CI workflow
│   ├── ISSUE_TEMPLATE/
│   │   ├── bug_report.yml    # Bug report template
│   │   ├── feature_request.yml # Feature request template
│   │   └── config.yml        # Issue template config
│   └── PULL_REQUEST_TEMPLATE.md
├── references/               # 18 curated reference guides
│   ├── r4ds-*.md             # R for Data Science (2e)
│   ├── advr-*.md             # Advanced R (2e)
│   ├── graphics-cookbook.md   # R Graphics Cookbook
│   ├── tidyverse-ecosystem.md
│   ├── bioconductor.md
│   ├── awesome-packages.md
│   └── ...
├── scripts/
│   ├── update_packages.R     # Package updater
│   └── example.py
├── assets/
└── sub-skills/               # 15 domain-specific skill trees
    ├── r-data/               # Data manipulation
    ├── r-viz/                # Visualization
    ├── r-ml/                 # Machine learning
    ├── r-web/                # Web & reports
    ├── r-spatial/            # Spatial analysis
    ├── r-network/            # Network analysis
    ├── r-nlp/                # NLP & text mining
    ├── r-stats/              # Statistics & finance
    ├── r-bio/                # Bioinformatics
    ├── r-dev/                # R development
    ├── r-parallel/           # Parallel computing
    ├── r-syntax/             # Syntax extensions
    ├── r-language-api/       # Language interfaces
    ├── r-logging/            # Logging frameworks
    ├── r-learning/           # Learning tools
    └── r-resources/          # Learning resources

References

The references/ directory contains curated guides:

| Guide | Topics | |-------|--------| | R for Data Science (2e) | ggplot2, dplyr, tidyr, readr, purrr, functions | | Advanced R (2e) | Foundations, FP, OOP, metaprogramming, performance | | R Graphics Cookbook | Bar, line, scatter, distributions, annotations, colors | | Tidyverse Ecosystem | Core packages, import tools, modeling patterns | | Bioconductor | Installation, GenomicRanges, RNA-seq, annotation | | Awesome Packages | Curated list by domain (ML, viz, web, finance, etc.) |

Contributing

Contributions are welcome! Please read CONTRIBUTING.md for guidelines on:

Adding new package skills
Improving existing skill files
Adding references and examples
Reporting bugs and requesting features

Contributors

Leo (@LeoLin990405) - Project Lead & Curation
Claude (Anthropic Claude) - Content Generation & Organization

Acknowledgements

Hadley Wickham - For tidyverse, ggplot2
RStudio/Posit - For the R ecosystem
CRAN - For hosting R packages
Bioconductor - For bioinformatics packages

License

This project is licensed under the MIT License. See LICENSE for details.

R Analytics Skill

Install / Use

README