Explore

Find agent skills by outcome

9,745 skills indexed with the new KISS metadata standard.

Showing 24 of 9,745Categories: Writing & Content, Data
Writing & Content
PromptBeginner5 minmarkdownQuality: 28

> User-generated content automatically requires a 17+ rating unless you implement moderation. You need: (1) a mechanism to report/flag content

(2) a stated moderation policy in your metadata

0
Writing & Content
PromptBeginner5 minmarkdownQuality: 28

**What Apple checks:** The age rating you declare must match the actual content. If a reviewer encounters mature content (violence

sexual themes

0
Data
PromptBeginner5 minmarkdownQuality: 24

> This is acceptable. It names the feature (map)

the data used (location)

1
Data
PromptBeginner5 minmarkdownQuality: 28

Academic analyst and exam pattern extractor

ROLE: Act as an expert academic analyst and exam pattern extractor.

1
Writing & Content
PromptBeginner5 minmarkdownQuality: 24

use_case: Art history dataset

style transfer model training

0
Data
PromptBeginner5 minmarkdownQuality: 28

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:

1
Writing & Content
PromptBeginner5 minmarkdownQuality: 24

environmental_storytelling: The dusky city street

glowing lights

0
Writing & Content
PromptBeginner5 minmarkdownQuality: 24

use_case: Training data for style transfer AI

art history analysis

0
Writing & Content
PromptBeginner5 minmarkdownQuality: 24

environmental_storytelling: The interaction of shapes and colors—overlapping

intersecting

0
Writing & Content
PromptBeginner5 minmarkdownQuality: 28

environmental_storytelling: The image is a visual pun on the dachshund's long body

exaggerating it to an absurd degree to create a decorative

5
Data
PromptBeginner5 minmarkdownQuality: 28

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.

1
Data
PromptBeginner5 minmarkdownQuality: 24

Small Functional Analyst mode

Functional Analyst Mode

1
Writing & Content
PromptBeginner5 minmarkdownQuality: 24

- Never rewrite

delete

0
Writing & Content
PromptBeginner5 minmarkdownQuality: 24

- Write clear user stories

acceptance criteria

0
Data
PromptBeginner5 minmarkdownQuality: 28

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...

1
Data
PromptBeginner5 minmarkdownQuality: 28

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

1
Data
PromptBeginner5 minmarkdownQuality: 24

│ ├── visualization.md # par

layout

1
Data
PromptBeginner5 minmarkdownQuality: 24

│ ├── statistics.md # Hypothesis tests

distributions

1
Data
PromptBeginner5 minmarkdownQuality: 24

│ ├── data-wrangling.md # Subsetting traps

apply family

1
Writing & Content
PromptBeginner5 minmarkdownQuality: 24

writeLines(template

out_file)

0
Data
PromptBeginner5 minmarkdownQuality: 24

# boxplot(%s ~ %s

data = df

1
Writing & Content
PromptBeginner5 minmarkdownQuality: 24

# write.csv(df

%s_clean.csv

0
Data
PromptBeginner5 minmarkdownQuality: 24

# fit_aov <- aov(%s ~ %s

data = df)

1
Data
PromptBeginner5 minmarkdownQuality: 24

# t.test(%s ~ %s

data = df)

1