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Modern tidyverse patterns, style guide, and migration guidance for R development. Use this skill when writing R code, reviewing tidyverse code, updating legacy R code, or enforcing consistent style. Covers native pipe usage, join_by() syntax, .by grouping, pick/across/reframe, filter_out/when_any/when_all, recode_values/replace_values/replace_when, tidyselect helpers, .data/.env pronouns, stringr, naming conventions, and readr.

Modern patterns for reproducible analysis pipelines with the targets R package. Use this skill when writing `_targets.R`, defining targets, debugging pipeline failures, running individual targets safely, configuring storage, or integrating Quarto/R Markdown. Covers `tar_target()`, the tarchetypes factories, dynamic and static branching, error handling, cycle debugging, cloud and CAS repositories.

Modern Typst typesetting patterns for documents, slides, and academic writing. Use this skill when writing Typst markup (.typ files), creating document templates, building slide decks with Quarto, or debugging Typst compilation issues. Covers content blocks, styling, math typesetting, tables, figures, custom functions, citations, and Quarto integration. Also use when the user mentions #set rules, #show rules, Typst page layout, Typst math mode, or wants to convert LaTeX to Typst. Trigger even for brief Typst questions like formatting a table or equation.

Touying slide framework for Typst. Use when creating presentations in Typst, adding slide animations, configuring Touying themes, using pause/meanwhile markers, building multi-file presentations, or integrating CeTZ/Fletcher diagrams with animations. Covers all built-in themes (simple, university, metropolis, aqua, dewdrop, stargazer) and custom theme creation.

CeTZ (TikZ-inspired drawing for Typst) patterns for creating diagrams. Use this skill when creating diagrams, flowcharts, graphs, plots, or technical illustrations in Typst documents. Covers coordinate systems, drawing primitives, styling, anchors, marks, trees, and plotting.

Data visualization with ggplot2 based on Kieran Healy's "Data Visualization: A Practical Introduction" (2nd ed., 2026). Use when creating, reviewing, or improving ggplot2 visualizations, choosing appropriate chart types, applying perceptual principles, faceting and grouping data, labeling and annotating plots, visualizing model results, drawing maps, or polishing figures for publication. Covers the grammar of graphics workflow, visual perception, color palettes, layered plot construction, and theme customization.