General
PromptBeginner5 minmarkdown
│ └── misc-utilities.md # tryCatch
do.call
0
Explore
Find agent skills by outcome
121,788 skills indexed with the new KISS metadata standard.
Showing 24 of 121,788Categories: Data & Insights, Coding & Debugging, Openclaw, General, Data
General
PromptBeginner5 minmarkdown
│ ├── dates-and-system.md # Date/POSIXct traps
options()
0
Data
PromptBeginner5 minmarkdown
│ ├── visualization.md # par
layout
0
General
PromptBeginner5 minmarkdown
│ ├── io-and-text.md # read.table
grep
0
Data
PromptBeginner5 minmarkdown
│ ├── statistics.md # Hypothesis tests
distributions
0
General
PromptBeginner5 minmarkdown
│ ├── modeling.md # Formula syntax
lm/glm/aov/nls
0
Data
PromptBeginner5 minmarkdown
│ ├── data-wrangling.md # Subsetting traps
apply family
0
General
PromptBeginner5 minmarkdown
If you're also someone who Googles `how to drop NA rows in R` every single time
this one's for you. 🫶
0
Coding & Debugging
PromptBeginner5 minmarkdown
I'm a political science PhD candidate who uses R regularly but would never call myself *an R person*. I needed a Claude Code skill for base R — something without tidyverse
without ggplot2
0
General
PromptBeginner5 minmarkdown
scaffold_analysis(project
outcome = outcome
0
General
PromptBeginner5 minmarkdown
cat(sprintf(Created: %s\n
out_file))
0
General
PromptBeginner5 minmarkdown
group
outcome
0
General
PromptBeginner5 minmarkdown
project_name
project_name
0
General
PromptBeginner5 minmarkdown
outcome
group
0
General
PromptBeginner5 minmarkdown
group
group
0
General
PromptBeginner5 minmarkdown
format(Sys.Date()
%%Y-%%m-%%d)
0
Data
PromptBeginner5 minmarkdown
# boxplot(%s ~ %s
data = df
0
General
PromptBeginner5 minmarkdown
par(mfrow = c(1
1))
0
General
PromptBeginner5 minmarkdown
# png(%s_boxplot.png
width = 800
0
General
PromptBeginner5 minmarkdown
plot(fit
which = 1) # residuals vs fitted
0
General
PromptBeginner5 minmarkdown
par(mfrow = c(1
2))
0
Data
PromptBeginner5 minmarkdown
# fit_aov <- aov(%s ~ %s
data = df)
0
Data
PromptBeginner5 minmarkdown
# t.test(%s ~ %s
data = df)
0
Data
PromptBeginner5 minmarkdown
fit <- lm(%s ~ %s
data = df)
0