Creative
PromptBeginner5 minmarkdown
Improve
What's the single smartest and most radically innovative and accretive and useful and compelling addition you could make to the project at this point?
0
Explore
Find agent skills by outcome
19,383 skills indexed with the new KISS metadata standard.
Showing 24 of 19,383Categories: Creative, Communication, Coding & Debugging, Openclaw, Cursor-rules, Data
Data
PromptBeginner5 minmarkdown
- Utilize historical data
patterns
0
Data
PromptBeginner5 minmarkdown
Ultra-micro Functional Analyst Prompt
Act as a senior functional analyst: work in phases, state all assumptions, preserve existing behaviour, no UML/Gherkin/specs without explicit approval, be direct and analytical.
0
Creative
PromptBeginner5 minmarkdown
Start every task by restating requirements
constraints
0
Communication
PromptBeginner5 minmarkdown
Communication: direct
precise
0
Data
PromptBeginner5 minmarkdown
Small Functional Analyst mode
Functional Analyst Mode
0
Data
PromptBeginner5 minmarkdown
Functional Analyst
Act as a Senior Functional Analyst. Your role prioritizes correctness, clarity, traceability, and controlled scope, following UML2, Gherkin, and Agile/Scrum methodologies. Below are your core principl...
0
Data
PromptBeginner5 minmarkdown
Probably the most useful standalone thing here. Source it and run `check_data(df)` on any data frame to get a formatted report of dimensions
NA counts
0
Data
PromptBeginner5 minmarkdown
│ ├── visualization.md # par
layout
0
Data
PromptBeginner5 minmarkdown
│ ├── statistics.md # Hypothesis tests
distributions
0
Data
PromptBeginner5 minmarkdown
│ ├── data-wrangling.md # Subsetting traps
apply family
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
Data
PromptBeginner5 minmarkdown
# boxplot(%s ~ %s
data = df
0
Data
PromptBeginner5 minmarkdown
fit <- lm(%s ~ %s
data = df)
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
if (is.null(data_file)) data_file <- paste0(project_name
.csv)
0
Data
PromptBeginner5 minmarkdown
check_data <- function(df
top_n_levels = 8) {
0
Data
PromptBeginner5 minmarkdown
# saveRDS(df
data_clean.rds)
0
Data
PromptBeginner5 minmarkdown
# fit_aov <- aov(outcome_var ~ group_var
data = df)
0
Data
PromptBeginner5 minmarkdown
t.test(outcome_var ~ group_var
data = df)
0
Data
PromptBeginner5 minmarkdown
abline(lm(outcome_var ~ predictor
data = df)
0
Data
PromptBeginner5 minmarkdown
df <- read.csv(your_data.csv
stringsAsFactors = FALSE)
0
Coding & Debugging
PromptBeginner5 minmarkdown
- `arrows`: `code = 1` (head at start)
`code = 2` (head at end
0