Enforce R coding standards and package development best practices with Context7 verification.
npx skills add https://github.com/jjjermiah/dot-agents --skill r-expert
Please help me install this Agent Skill. Skill: r-expert Source: https://github.com/jjjermiah/dot-agents/tree/main/src/dot-agents/skills/r-expert Command: npx skills add https://github.com/jjjermiah/dot-agents --skill r-expert
Inconsistent R coding standards and brittle package development slow teams down and reduce reliability; r-expert provides production-grade guidance and enforces modern best practices across R code, package development, and data science workflows, with emphasis on Context7 for package-specific APIs.
Apply r-expert to all R code tasks by establishing Context7 lookups and following the recommended patterns.
High-intent search queries and answers about installing and using this skill.
To set up a clean R package skeleton with consistent coding standards, apply production-grade guidance to establish a structured package directory, implement testing patterns, and enforce code style rules across your R functions.
Best practices for building robust R functions involve following modern code style rules, implementing safe file operations, and utilizing Context7 for package-specific API documentation to ensure reproducible data analysis workflows.
Context7 verification for R package development works by establishing Context7 lookups to prescribe accurate, package-specific API documentation, ensuring strict adherence to modern best practices during code generation and data pipeline construction.
Yes, you can integrate tidyverse workflows into Shiny apps by applying production-grade guidance that enforces modern best practices and reproducible data analysis patterns specifically tailored for R programming environments.
The recommended way to enforce code style and testing patterns in R is to apply structured package development guidance that prescribes strict best practices, safe file operations, and comprehensive workflow rules for consistent team output.
windyskyApply modern R 4.4+ development patterns for data science projects.
hnabyz-botStandardize modern R 4.4+ data analysis and Shiny app development patterns.
libertininickValidate codebase dependencies against an approved frameworks registry.
robzilla1738Automate planning, execution, and verification of complex software tasks with Python.
