Description
R performance profiling, benchmarking, and optimization strategies. Use this skill when code is running slowly, comparing alternative implementations, deciding between dplyr/data.table/base R, or implementing parallel processing. Covers profvis and bench usage, performance workflow, parallel processing with in_parallel(), data backend selection, modern purrr patterns (list_rbind, walk), and common performance anti-patterns to avoid.
Installation
There are a number of ways to install skills. We made {ally}, an R package that simplifies the process. Learn more
Install {pak}:
install.packages("pak")
Then install {ally}:
pak::pak("rfortherestofus/ally")
You only need to do this once per computer.
After you've installed the {ally} package, choose whether you want to install the skill in this project or in all of your projects, then run the command.
ally::install_skill("https://github.com/jeremy-allen/claude-skills/blob/main/optimizing-r/SKILL.md")
This puts the skill in locations that all agents can read, inside this project, so anyone you're working with on the project can use it.
ally::install_skill("https://github.com/jeremy-allen/claude-skills/blob/main/optimizing-r/SKILL.md", scope = "user")
This puts the skill in locations that all agents can read, in your home folder, so every project you work on can use it.
Source Code
Jeremy Allen