Thank you for @ ing me! I appreciate it!

Thank you for your response and apologies for the delay in getting back to you. I was hoping to put in a PR but I've been swamped recently. Here is what I have so far: gist.github.com/sj-io/f1f3b2... made by combining the _variables.scss under scss:defaults and _bootswatch.scss under scss:rules

(also informally requesting Quarto add Bootswatch's Brite theme. It looks so sick, I had to manually add it and test it out)

Good suggestion on the blog post! I've started to put one together. Quick answer: I downloaded md (or rmd/qmd) files from github, saved them in a folder, then opened Claude and basically said "we're having too many R errors, esp w/ the tidyverse, please summarize these in a way you can remember"

Late to the party but I'm constantly working with lookup tables and this would be huge for me. I've been using a homemade solution but I would love these functions, esp w/ the error handling. Can't wait to use these and thank y'all for adding them! bsky.app/profile/sara...

I saw others suggesting this idea but I hadn't seen anyone share a CLAUDE.md or similar file. This might also be fixed if you use the API and MCP, but I'm already paying for Claude Code.

also there's no ggplot, lubridate in the file but you can always ask Claude to update the file with new docs.

The file is long, but large chunks can probably be removed depending on your use. I needed help with package development, so I fed it a bunch of rlang pages. Also added things I'm less familiar with, like vctrs and s7, so maybe it can help me improve in the future. (& lmk if you see something wrong)

I placed this into a project I was trying to debug and the results were 1000x better, truly night and day. I'm no longer having to teach it R while trying to work. It can make modern functions in one attempt, benchmark code, add parallelization.

I gave it only pages from official tidyverse docs, vingettes, blog posts, style guide, and excerpts from R for Data Science and Advanced R. I asked it to not only summarize the files but also make sure it knew *when* to use tidyverse over base R.

I also wrapped this into a function for one of my packages, so I can just pass on two vectors of the same length to str_replace_all without creating a named vector manually beforehand

I don't know if it fits your use case, but str_replace_all can replace with a named vector. You might need to add "\\b" around the input to make sure it doesn't match partials, or wrap it with "^" and "$" for an exact match.

haha switching it around to "r gt" works for me

It's not free but I've been using Easy CSV Editor for years and I love it. apps.apple.com/us/app/easy-...

Haven't tried duckplyr, but with duckdb you can use tbl_function(con, "read_csv('data_*.csv')") |> collect() for the same effect.

i dislocated my shoulder yesterday because I tried to put on a jacket