AgentSkillify

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Find agent skills by outcome

139,213 skills indexed with the new KISS metadata standard.

Showing 24 of 139,213Categories: Coding & Debugging, Creative, General, Research & Learning, Data
Data
PromptBeginner5 minmarkdownQuality: 24

saveRDS(df

data_clean.rds)

0
General
PromptBeginner5 minmarkdownQuality: 24

par(mfrow = c(1

1))

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General
PromptBeginner5 minmarkdownQuality: 24

lmtest::coeftest(fit

vcov = sandwich::vcovHC(fit

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General
PromptBeginner5 minmarkdownQuality: 24

par(mfrow = c(2

2))

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Data
PromptBeginner5 minmarkdownQuality: 24

fitaov <- aov(outcomevar ~ group_var

data = df)

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General
PromptBeginner5 minmarkdownQuality: 24

col = hcl.colors(20

RdBu

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Data
PromptBeginner5 minmarkdownQuality: 24

t.test(outcomevar ~ groupvar

data = df)

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General
PromptBeginner5 minmarkdownQuality: 24

par(mfrow = c(1

1))

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General
PromptBeginner5 minmarkdownQuality: 24

col = red

lwd = 2)

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General
PromptBeginner5 minmarkdownQuality: 24

cormat <- cor(df[numcols]

use = complete.obs)

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Data
PromptBeginner5 minmarkdownQuality: 24

abline(lm(outcome_var ~ predictor

data = df)

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General
PromptBeginner5 minmarkdownQuality: 24

plot(df$predictor

df$outcome_var

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General
PromptBeginner5 minmarkdownQuality: 24

col = adjustcolor(steelblue

alpha.f = 0.5)

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General
PromptBeginner5 minmarkdownQuality: 24

par(mfrow = c(2

2))

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General
PromptBeginner5 minmarkdownQuality: 24

prop.table(table(df$group

df$category)

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General
PromptBeginner5 minmarkdownQuality: 24

))

3)

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General
PromptBeginner5 minmarkdownQuality: 24

table(df$group

df$category

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General
PromptBeginner5 minmarkdownQuality: 24

median = median(x

na.rm = TRUE)

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General
PromptBeginner5 minmarkdownQuality: 24

max = max(x

na.rm = TRUE)

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General
PromptBeginner5 minmarkdownQuality: 24

min = min(x

na.rm = TRUE)

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General
PromptBeginner5 minmarkdownQuality: 24

mean = mean(x

na.rm = TRUE)

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General
PromptBeginner5 minmarkdownQuality: 24

sd = sd(x

na.rm = TRUE)

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General
PromptBeginner5 minmarkdownQuality: 24

round(sapply(df[num_cols]

function(x) c(

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General
PromptBeginner5 minmarkdownQuality: 24

num_cols <- names(df)[sapply(df

is.numeric)]

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