r-skills

Review code for security, quality, and best practices. Use after writing code and before committing.

Create an implementation plan before writing code. Use for new features, architectural changes, or complex refactoring.

Test-driven development workflow for R. Write tests first, then implement. Use for new features, bug fixes, and refactoring.

Run full R verification loop before committing. Checks build, lint, style, test coverage, and code quality.

Expert planning specialist for R projects. Use for feature implementation, architectural changes, or complex refactoring. Automatically activated for planning tasks.

Senior R code review specialist. Use after writing code to review for security, quality, and best practices before committing.

Test-driven development specialist for R. Enforces test-first development with testthat. Use when writing new features, fixing bugs, or refactoring code.

Expert chart data visualization in R - similar to ggplot, grammar of graphics, geoms, themes, scales, faceting, and styling. Use when user works with chart, mentions "chart", "geom_", creates visualizations in R, asks about plot customization, "customiser un theme", "customize theme", "customiser un graphique", themes, "facet_wrap", "facet_grid", "faceting", "facettes", "annotations", "annotate", "annoter", "ajouter des annotations", "color scale", "scales", "échelle de couleurs", "graphique", "plot", "visualisation", or data visualization best practices.

Relational data modeling with {dm} package - create, visualize, and manipulate multi-table data models with primary/foreign keys. Use when mentions "dm package", "pacote dm", "relational data", "dados relacionais", "primary key", "chave primária", "foreign key", "chave estrangeira", "data model", "modelo de dados", "multi-table", "múltiplas tabelas", "tabelas relacionadas", "relate tables", "relacionar tabelas", "database schema", "esquema de banco", "esquema de dados", "dm_from_data_frames", "dm_add_pk", "dm_add_fk", "dm_draw", "dm_flatten", "dm_filter", "dm_zoom_to", "visualize schema", "visualizar esquema", "create data model", "criar modelo", "model relational data", "modelar dados relacionais", "work with related data", "trabalhar com dados relacionados", "multiple related tables", "várias tabelas relacionadas", or working with related data frames, relational databases, or referential integrity in R.

Expert ggplot2 data visualization in R - grammar of graphics, geoms, themes, scales, faceting, and styling. Use when user works with ggplot2, mentions "ggplot", "geom_", creates visualizations in R, asks about plot customization, "customizar theme", "customize theme", "customizar plot", themes, "facet_wrap", "facet_grid", "faceting", "facetas", "anotações", "annotations", "annotate", "adicionar anotações", "color scale", "scales", "escala de cores", "gráfico", "plot", "visualização", or data visualization best practices.

Expert Keras3 deep learning in R with multi-backend support. Use when working with keras3, mentions "keras3", "keras3 em R", "keras3 for R", "Functional API", "custom keras layer", "keras preprocessing", "keras application", "keras subclassing", "JAX backend", "multi-backend keras", "keras3 audio", "keras3 NLP", "keras3 vision", "preprocessing layer", "custom training loop", "model subclassing", "Sequential API", "layer_*", "optimizer_adam", "compile model", "fit model", or discusses deep learning with keras3 in R.

Machine learning paradigm selection guide covering self-supervised, few-shot, weak supervision, transfer learning and meta-learning. Use when mentions "self-supervised learning", "SSL", "few-shot learning", "FSL", "few shot", "weak supervision", "weakly supervised", "limited labeled data", "limited labels", "learning paradigms", "paradigmas de aprendizado", "meta-learning", "transfer learning", "quando usar SSL", "quando usar few-shot", "which learning approach", "escolher paradigma", "choose learning paradigm", "data scarcity", "escassez de dados", "unlabeled data", "dados não rotulados", or asks about learning strategy selection for data-limited scenarios.

6 hooks across 4 events