Playbooks
GitHub

R Playbooks

🎯 R Playbooks

A collection of 79 AI-assisted playbooks for common R development workflows

📚 79 playbooks 📂 14 categories 🔄 auto-updated from repo

🔌r-api-endpoint

Add a new Plumber endpoint with parameter docs, input validation, error handling, and tests

v1.0.0BOTH📋 source

🔌r-api-testing

"API testing for R: consumer-driven contract testing with pact, HTTP request/response mocking with httptest2, integration testing for Plumber APIs, and load/stress testing with vegeta or shinyloadtest"

v1.0.0BOTH📋 source

🏗️r-async-mirai

"Add asynchronous parallel processing to R code using the mirai package: launch non-blocking background tasks, collect results, and handle errors. Use mori for zero-copy shared memory to eliminate serialization overhead on large data. Ideal for API calls, file I/O, or heavy computation in Shiny, Plumber, targets pipelines, or R packages"

v1.0.0BOTH📋 source

🧪r-bdd-feature

"BDD (Behavior-Driven Development): define a feature with user stories, acceptance criteria, and Gherkin scenarios; then implement scenario-by-scenario with testthat describe()/it() tests. Works for R packages, Shiny apps, Plumber APIs, or any R project"

v1.1.0AUTO📋 source

🏗️r-box-module

"Create a module using the box package with explicit @export declarations, clean namespace isolation, and proper file structure. Core pattern in rhino, golem, and Shiny apps — distinct from Shiny modules (UI+server)"

v1.0.0BOTH📋 source

"Set up GitHub Actions CI for an R package: R CMD check, test coverage, pkgdown, and linting"

Deploy & DevOps

v1.0.0AUTO📋 source

🚀r-cloud-sdk

"Integrate R applications with cloud services: AWS SDK via paws (S3, Lambda, SQS, RDS), Google Cloud via googleCloudStorageR/bigrquery, and Azure via AzureStor/AzureVision — cloud-native data, compute, and storage patterns"

Deploy & DevOps

v1.0.0BOTH📋 source

🧪r-code-review

"Perform a structured code review for R code: check code style, logical correctness, security, performance bottlenecks, and documentation completeness"

v1.2.0BOTH📋 source

🔒r-config-env

"Set up environment-specific configuration for R applications (development, staging, production) using the config package with YAML config files — works with Shiny, Plumber, and targets projects"

Config & Security

v1.0.0BOTH📋 source

🚀r-connect-deploy

"Deploy an R application (Shiny app, Plumber API, Quarto doc, or static R Markdown) to Posit Connect with rsconnect manifest and git-backed deployment"

Deploy & DevOps

v1.0.0BOTH📋 source

📦r-cran-submission

"Full CRAN submission workflow: rhub checks on all platforms, CRAN policy compliance, devtools::release(), and post-submission monitoring"

v1.0.0BOTH📋 source

🛡️r-data-validate

"Validate data quality with pointblank or validate: schema checks, value ranges, completeness, uniqueness, and row counts. Works with data frames, database tables, or targets pipeline outputs"

Data & Validation

v1.0.0BOTH📋 source

🛡️r-database-migrate

"Safe database schema migration for R projects: version-controlled migrations with DBI+dm, up/down scripts, seed data, dry-run validation against staging, and rollback procedures"

Data & Validation

v1.0.0BOTH📋 source

🛡️r-dbi-setup

"Set up a DBI database connection with connection pooling ({pool}), parameterised queries, and safe credential management via environment variables"

Data & Validation

v1.0.0BOTH📋 source

"Debug R code systematically: traceback, browser(), debugonce(), rlang::last_trace(), and profiling with profvis"

v1.0.0BOTH📋 source

📦r-dependency-upgrade

"Safe R package dependency upgrade workflow: check for outdated packages, upgrade one at a time with git checkpoints, run full test suite after each upgrade, and rollback on failure"

v1.0.0BOTH📋 source

🚀r-deploy-kubernetes

"Deploy containerized R applications (Shiny, Plumber, targets pipelines) to Kubernetes, Cloud Run, or ECS with health checks, auto-scaling, secrets management, and blue-green deployments"

Deploy & DevOps

v1.0.0BOTH📋 source

🚀r-docker-build

"Build a Docker image for an R project: package, Shiny app, or Plumber API"

Deploy & DevOps

v1.0.0AUTO📋 source

🛡️r-duckdb-pipeline

"Build an analytical data pipeline using {duckdb} and {arrow}: in-process OLAP queries, Parquet I/O, and dplyr/SQL on large files without loading into memory"

Data & Validation

v1.0.0BOTH📋 source

🔌r-httr2-client

"Build a typed R API client package using {httr2}: OAuth2/API-key auth, retry logic, rate limiting, mocked tests, and httr2 request/response helpers"

v1.0.0BOTH📋 source

📦r-init-package

Scaffold a new R package with usethis, renv, testthat, roxygen2, pkgdown, and CI

v1.0.0AUTO📋 source

🔌r-init-plumber

"Scaffold a Plumber API project with entrypoint, route files, middleware, health checks, testthat tests, and optional Dockerfile — ready for CI/CD and Connect deployment"

v1.0.0AUTO📋 source

✨r-init-shiny

"Scaffold a new Shiny application with golem or minimal structure, plus testthat unit tests, Cypress E2E test setup, renv dependency management, and Posit Connect deployment config"

v1.0.0AUTO📋 source

🎯r-init-targets

"Scaffold a targets data pipeline project with _targets.R, R/functions/, testthat tests, renv, and GitHub Actions CI integration — optionally with parallel crew backend"

v1.0.0AUTO📋 source

"Lint R code (scripts, packages, Shiny apps) for style, syntax, and code quality issues using lintr; auto-fix formatting with styler where possible"

v1.0.0BOTH📋 source

📊r-logger-setup

"Configure structured JSON logging with the logger package for any R application: Shiny, Plumber, targets pipelines, or R packages — with log levels, file output, and CI-friendly formats"

v1.0.0BOTH📋 source

"Scaffold a complete ML project with tidymodels: project structure, feature engineering with recipes, train/validate/test split strategy, cross-validation setup, vetiver deployment config, and CI/CD for model training"

ML & Tidymodels

v1.0.0BOTH📋 source

🤖r-ml-validate

"Validate and explain ML models: cross-validation diagnostics, residual analysis, calibration plots, DALEX model explanations, vip variable importance, shapviz SHAP values, fairness assessment, and model comparison framework"

ML & Tidymodels

v1.0.0BOTH📋 source

🤖r-model-monitor

"Monitor deployed ML models for data drift, concept drift, and performance decay — detect distribution shifts with datadriftR and pointblank, track metrics with vetiver, and trigger automated retraining"

ML & Tidymodels

v1.0.0BOTH📋 source

🧪r-mutation-test

"Mutation testing for R with the muttest package (Appsilon): inject artificial bugs into code via treesitter-based parsing, measure test suite kill rate, identify weak tests, and strengthen gaps"

v1.0.0BOTH📋 source

🔔r-notification

"Send email and alert notifications from R applications: blastula for styled emails, Slack/Teams webhooks, pipeline status alerts, monitoring notifications, and scheduled report delivery"

v1.0.0BOTH📋 source

📄r-observable

"Create interactive R-powered documents and dashboards with Observable JS and WebR: client-side R execution via WebR in Quarto, Observable Plot for interactive visualization, and Observable Framework for data apps"

v1.0.0BOTH📋 source

📊r-otel-instrument

"Add OpenTelemetry observability to R applications: zero-code-change for Shiny 1.12+/plumber2"

v1.0.0AUTO📋 source

🧪r-package-audit

"Comprehensive R package health audit: run R CMD check, tests, coverage analysis, linting, security scan, dependency freshness check, and documentation validation — produce a single health report with actionable recommendations"

v1.0.0BOTH📋 source

📦r-pak-lockfile

"Create and use a pak lockfile for strict reproducible R package installations across dev, CI, and production environments — prevents 'works on my machine' dependency drift"

v1.0.0BOTH📋 source

📊r-performance-benchmark

"Systematic R performance analysis: profile with profvis to find bottlenecks, benchmark with bench::mark for precise measurements, compare before/after optimizations, and identify the top optimizations by impact"

v1.0.0BOTH📋 source

📦r-pkg-add-function

"Add a new exported function to an R package with roxygen2 documentation, testthat tests, and NAMESPACE export — follows TDD workflow"

v1.0.0BOTH📋 source

📦r-pkg-check

"Run R CMD check on an R package and automatically fix common issues (missing imports, undocumented parameters, stale Rd files) before manual review"

v1.0.0BOTH📋 source

📦r-pkg-release

"Execute a full R package release: bump version with usethis, run all checks, update NEWS.md, create a git tag, and prepare for CRAN submission or GitHub release"

v1.0.0AUTO📋 source

📦r-pkgcheck-review

"Run rOpenSci automated package checks with pkgcheck: comprehensive pre-submission validation including goodpractice, R CMD check, and pkgstats"

v1.0.0BOTH📋 source

📦r-pkgdown-site

Set up and deploy a pkgdown documentation site with Bootstrap 5, reference index, articles, and GitHub Pages

v1.0.0BOTH📋 source

🏗️r-plan-feature

"Architectural planner: analyze requirements, design the approach, identify affected code and dependencies, estimate effort, and produce an actionable implementation plan before writing any code"

v1.0.0BOTH📋 source

🏗️r-playbook-create

"Meta-playbook: guide the creation of a new well-structured R playbook following the project conventions — discover the right category, define parameters and steps, write the system prompt, and validate against the schema"

v1.0.0BOTH📋 source

🛡️r-pointblank-agent

"Set up automated data validation using pointblank agents: define validation rules (column types, value ranges, uniqueness, row counts), generate HTML/JSON reports, schedule checks in CI/CD, or embed in Plumber APIs and targets pipelines"

Data & Validation

v1.0.0BOTH📋 source

"Profile R code for performance bottlenecks using profvis, bench, and rprof: produces a report, never auto-modifies code"

v1.0.0BOTH📋 source

🧪r-property-test

"Property-based testing for R: define invariants that must hold for all inputs, generate random test cases, shrink failing cases to minimal counterexamples, and add them as regression tests"

v1.0.0BOTH📋 source

📄r-quarto-dashboard

"Create a Quarto 1.4+ Dashboard with rows, columns, value boxes, plots, and interactive widgets (Shiny or Observable JS)"

v1.0.0BOTH📋 source

📄r-quarto-render

"Render a Quarto document or project (.qmd) to HTML, PDF, or other formats with parameterized execution, execution profiling, and output validation — for R-based Quarto projects"

v1.0.0BOTH📋 source

📄r-quarto-website

"Scaffold a Quarto website with navbar, sidebar, listings, and GitHub Pages deployment"

v1.0.0BOTH📋 source

🏗️r-refactor

"Safe refactoring of R code: capture current behavior with tests as a safety net, then restructure the code (extract functions, rename, reorganize) and verify nothing broke"

v1.1.0BOTH📋 source

📦r-renv-manage

"Manage an renv project: snapshot, restore, update packages, clean unused packages, repair broken lockfiles, and upgrade renv itself"

v1.0.0BOTH📋 source

✨r-rhino-add-module

"Add a new box module (view/logic) to an existing rhino project following enterprise conventions"

v1.0.0BOTH📋 source

✨r-rhino-build

"Build rhino project assets: Sass → CSS compilation, JavaScript bundling, and static asset preparation for deployment"

v1.0.0BOTH📋 source

✨r-rhino-check

"Run rhino quality checks: lint, diagnostics, build, and tests — the universal quality gate for rhino projects"

v1.0.0BOTH📋 source

✨r-rhino-init

"Initialize an enterprise Shiny application with Appsilon's rhino framework: box modules, Sass styles, JavaScript bundling, Cypress E2E tests, testthat unit tests, Docker, and CI/CD"

v1.0.0AUTO📋 source

✨r-rhino-test

"Run rhino test suites — R unit tests, Cypress E2E tests (on by default), and snapshot reviews — with auto-fix for common test issues"

v1.0.0BOTH📋 source

🏗️r-s7-class

"Define an S7 class (R's new OOP system) with typed properties, generic functions, and methods — the modern alternative to S3/S4/R6. Usable in packages, Shiny modules, or Plumber serialization"

v1.0.0BOTH📋 source

🎯r-schedule-pipeline

"Schedule targets pipelines for production: configure cron-based execution with cronR or GHA scheduled workflows, set up checkpoint/resume, failure notifications, logging, and pipeline health monitoring"

v1.0.0BOTH📋 source

"Scan R code for security vulnerabilities: hardcoded secrets, unsafe eval, path traversal, injection risks"

Config & Security

v1.0.0BOTH📋 source

✨r-shiny-auth

"Add authentication and authorization to Shiny apps: credentials-based auth with shinymanager, OAuth/SSO with polished (Auth0), role-based access control, session timeouts, and secure credential storage — never hardcode passwords"

v1.0.0BOTH📋 source

✨r-shiny-e2e-test

"Add end-to-end tests for a Shiny app using shinytest2 (R-native, headless) or Cypress (JavaScript, real browser). For unit tests or TDD, use r-tdd-feature or r-rhino-test instead"

v1.0.0AUTO📋 source

📋r-shiny-fluent-components

"Build Fluent UI Shiny UIs (Appsilon): inputs with .shinyInput(), DetailsList, Pivot/CommandBar/Nav, Stack layout, MessageBar/Spinner feedback, and Modal/Panel overlays"

v1.0.0BOTH📋 source

📋r-shiny-fluent-init

"Scaffold a Shiny app with Microsoft Fluent UI (Appsilon): fluentPage shell, ThemeProvider, Stack layout, Fluent inputs, and tests — the Bootstrap-free alternative for enterprise Shiny"

v1.0.0BOTH📋 source

📋r-shiny-fluent-theme

"Theme Fluent UI Shiny apps (Appsilon): brand tokens via ThemeProvider, custom colors and typography, dark mode toggle, WCAG accessibility verification"

v1.0.0BOTH📋 source

✨r-shiny-module

"Create a new Shiny module with UI + server functions, reactive testing, and proper namespace isolation. Works with golem, rhino, or standalone Shiny apps"

v1.0.0BOTH📋 source

✨r-shiny-perf

"Shiny performance profiling and optimization: reactlog reactivity graph analysis, profvis server profiling, shinyloadtest multi-user load simulation, bindCache/memoise caching strategies, and performance regression testing"

v1.0.0BOTH📋 source

📋r-shiny-react

"Wrap custom React components for Shiny with shiny.react (Appsilon): reactElement(), setInput(), JS(), reactOutput()/renderReact(), and htmlDependency() for component JS bundles"

v1.0.0BOTH📋 source

✨r-shiny-theme-bslib

Apply a custom Bootstrap 5 theme to a Shiny app using bslib with Sass customization and Bootswatch themes

v1.0.0BOTH📋 source

🎯r-targets-add-target

Add a new target to an existing targets pipeline with its companion function and test

v1.0.0BOTH📋 source

🎯r-targets-branching

Add static branching (tar_map) or dynamic branching (tar_rep, pattern=map/cross) to a targets pipeline

v1.0.0BOTH📋 source

🎯r-targets-crew

"Configure the crew parallel backend for a targets pipeline (mirai-based, replaces future). Use mori for zero-copy shared memory on large reference data"

v1.0.0BOTH📋 source

🧪r-tdd-bugfix

"TDD bugfix workflow: reproduce the bug by writing a failing test first, fix the code, then verify no regressions. Works for R packages, Shiny apps, Plumber APIs, or any R code"

v1.1.0BOTH📋 source

🧪r-tdd-feature

"TDD (Test-Driven Development): Red-Green-Refactor cycle — write a failing test first, implement minimal code to pass, then refactor. Works for R packages, Shiny modules, Plumber endpoints, or any R code"

v1.1.0BOTH📋 source

🧪r-test-database

"Database interaction testing for R: test fixtures with DBI, transaction rollback between tests, query mocking, schema validation, and performance regression testing"

v1.0.0BOTH📋 source

🧪r-testthat-snapshot

"Add snapshot tests with testthat edition 3: output snapshots, value snapshots, error snapshots, and file snapshots. Works for R packages, Shiny reactive modules, and Plumber endpoint testing"

v1.0.0BOTH📋 source

🤖r-tidymodels-tune

"Hyperparameter tuning for an existing tidymodels workflow: Bayesian optimisation or racing methods, with parallel execution via {finetune} or {tune}"

ML & Tidymodels

v1.0.0BOTH📋 source

🤖r-tidymodels-workflow

"Build a complete tidymodels ML workflow: recipe, model spec, workflow object, train/test split, fit, and evaluation with yardstick metrics"

ML & Tidymodels

v1.0.0BOTH📋 source

🚀r-vetiver-deploy

"Version, deploy, and monitor an R ML model using vetiver: pin the model for versioning, auto-generate a Plumber API endpoint, and deploy to Posit Connect or Docker with monitoring"

Deploy & DevOps

v1.0.0BOTH📋 source

🏗️r-workflow-feature

"End-to-end feature workflow orchestrator: chains BDD spec → TDD implementation → code review → quality gate → release prep into one cohesive pipeline"

v1.0.0BOTH📋 source

R Playbooks: curated AI coding playbooks for R development

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