Research & Learning
PromptBeginner5 minmarkdownQuality: 26
- Bases de Dados: Utilize a ferramenta search com o tipo research para acessar bases como Google Sch...
Scielo
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Explore
Find agent skills by outcome
14,854 skills indexed with the new KISS metadata standard.
Showing 24 of 14,854Categories: Data, Creative, Research & Learning, Cursor-rules
Creative
PromptBeginner5 minmarkdownQuality: 22
- Ações: Detalhar o design da pesquisa
métodos de coleta e técnicas de análise de dados.
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Data
PromptBeginner5 minmarkdownQuality: 26
- Provide a detailed report with strategies on how to excel in exams
including study tips and areas to focus on.
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Creative
PromptBeginner5 minmarkdownQuality: 22
- Generate infographics
including graphs and pie charts
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Research & Learning
PromptBeginner5 minmarkdownQuality: 22
- Analyze submitted exam papers and identify the type of questions (e.g.
multiple-choice
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Creative
PromptBeginner5 minmarkdownQuality: 26
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?
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Data
PromptBeginner5 minmarkdownQuality: 22
- Utilize historical data
patterns
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Data
PromptBeginner5 minmarkdownQuality: 26
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.
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Creative
PromptBeginner5 minmarkdownQuality: 22
Start every task by restating requirements
constraints
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Data
PromptBeginner5 minmarkdownQuality: 22
Small Functional Analyst mode
Functional Analyst Mode
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Data
PromptBeginner5 minmarkdownQuality: 26
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...
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Data
PromptBeginner5 minmarkdownQuality: 26
Probably the most useful standalone thing here. Source it and run check_data(df) on any data frame t...
NA counts
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Data
PromptBeginner5 minmarkdownQuality: 22
│ ├── visualization.md # par
layout
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Data
PromptBeginner5 minmarkdownQuality: 22
│ ├── statistics.md # Hypothesis tests
distributions
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Data
PromptBeginner5 minmarkdownQuality: 22
│ ├── data-wrangling.md # Subsetting traps
apply family
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Data
PromptBeginner5 minmarkdownQuality: 22
boxplot(%s ~ %s
data = df
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Data
PromptBeginner5 minmarkdownQuality: 22
fit <- lm(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
fit_aov <- aov(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
t.test(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
if (is.null(datafile)) datafile <- paste0(project_name
.csv)
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Data
PromptBeginner5 minmarkdownQuality: 22
check_data <- function(df
topnlevels = 8) {
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Data
PromptBeginner5 minmarkdownQuality: 22
saveRDS(df
data_clean.rds)
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Data
PromptBeginner5 minmarkdownQuality: 22
fitaov <- aov(outcomevar ~ group_var
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
t.test(outcomevar ~ groupvar
data = df)
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