When should I use vctrs instead of base R according to this skill?

The skill recommends vctrs primarily for package development and complex custom classes where type safety, consistency, and size stability are more critical than raw micro-speed.

Does it support parallel processing?

Absolutely. It offers a decision matrix to determine when parallel computing provides a benefit versus when the overhead might actually slow down your execution.

How does this skill help identify slow R code?

It provides a structured workflow using tools like profvis to generate flame graphs and identify the specific call stacks or lines of code causing performance delays.

Can it help with memory issues in R?

Yes, it includes benchmarking strategies that monitor memory allocation and garbage collection (GC) to help you optimize memory-intensive operations.

R Performance Optimizer

Name: R Performance Optimizer
Author: ab604

byab604

•

データサイエンスとML

Optimizes R code through professional profiling, benchmarking, and implementation of high-performance backend patterns.

The R Performance Skill equips Claude with a comprehensive framework for identifying and resolving bottlenecks in R scripts and packages. It guides the selection of appropriate tools—from profvis for discovery to bench for fine-grained comparison—and provides specialized expertise in parallel processing, memory management, and vctrs-based type stability. By applying industry-standard optimization strategies and avoiding common anti-patterns, this skill ensures R applications are both fast and maintainable for production environments.

主な機能

01Comparative benchmarking using the bench package for data-driven optimization

026 GitHub stars

03Optimized data backend selection between data.table, dplyr, and base R

04Automated profiling with profvis to identify specific execution bottlenecks

05Implementation of type-stable vector classes using the vctrs framework

06Parallel processing guidance for CPU-intensive and I/O-bound tasks

ユースケース

01Developing production-grade R packages with robust, type-stable infrastructure

02Refactoring slow R scripts to handle large-scale datasets efficiently

03Migrating legacy for-loops to optimized parallel or vectorized patterns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ab604/claude-code-r-skills r-performance

For use in Claude.ai and ChatGPT

Download Skill