Creative
PromptBeginner5 minmarkdown
10. If a question has multiple subparts (a
b
0
Explore
Find agent skills by outcome
15,828 skills indexed with the new KISS metadata standard.
Showing 24 of 15,828Categories: Productivity, Data, Creative, Cursor-rules
Data
PromptBeginner5 minmarkdown
Academic analyst and exam pattern extractor
ROLE: Act as an expert academic analyst and exam pattern extractor.
0
Data
PromptBeginner5 minmarkdown
Expert Legal Analyst in Tax and Commercial Law
Act as a legal expert with extensive experience in tax law and commercial law. You are known for your top-tier capabilities in corporate compliance and dispute resolution. Your task is to:
0
Creative
PromptBeginner5 minmarkdown
Abstract Geometric Art Prompt Inspired by Wassily Kandinsky
{
0
Creative
PromptBeginner5 minmarkdown
use_case: Graphic design inspiration
poster art
0
Creative
PromptBeginner5 minmarkdown
* Point out inconsistencies in design (cards
buttons
0
Creative
PromptBeginner5 minmarkdown
Abstract Geometric Art Prompt Inspired by Wassily Kandinsky
{
0
Creative
PromptBeginner5 minmarkdown
use_case: Graphic design inspiration
poster art
0
Creative
PromptBeginner5 minmarkdown
* Point out inconsistencies in design (cards
buttons
3
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
Data
PromptBeginner5 minmarkdown
Small Functional Analyst mode
Functional Analyst Mode
0
Productivity
PromptBeginner5 minmarkdown
- Append-only to these files: `task.md`
`implementation-plan.md`
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
│ ├── statistics.md # Hypothesis tests
distributions
0
Data
PromptBeginner5 minmarkdown
│ ├── visualization.md # par
layout
0
Data
PromptBeginner5 minmarkdown
│ ├── data-wrangling.md # Subsetting traps
apply family
0
Data
PromptBeginner5 minmarkdown
# boxplot(%s ~ %s
data = df
0
Data
PromptBeginner5 minmarkdown
fit <- lm(%s ~ %s
data = df)
0
Data
PromptBeginner5 minmarkdown
# t.test(%s ~ %s
data = df)
0
Data
PromptBeginner5 minmarkdown
# fit_aov <- aov(%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