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23,617 skills indexed with the new KISS metadata standard.

Showing 24 of 23,617Categories: Data, Coding & Debugging, Creative, Productivity
Coding & Debugging
PromptBeginner5 minmarkdown

xcode-mcp (for pi agent)

---

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Coding & Debugging
PromptBeginner5 minmarkdown

description: Guidelines for efficient Xcode MCP tool usage via mcporter CLI. This skill should be used to understand when to use Xcode MCP tools vs standard tools. Xcode MCP consumes many tokens - use only for build

test

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Data
PromptBeginner5 minmarkdown

- 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 minmarkdown

- Generate infographics

including graphs and pie charts

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Coding & Debugging
PromptBeginner5 minmarkdown

code generation for online assessments

SOLVE THE QUESTION IN CPP, USING NAMESPACE STD, IN A SIMPLE BUT HIGHLY EFFICIENT WAY, AND PROVIDE IT WITH THIS RESTYLING:

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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?

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Data
PromptBeginner5 minmarkdown

- Utilize historical data

patterns

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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.

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Creative
PromptBeginner5 minmarkdown

Start every task by restating requirements

constraints

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Data
PromptBeginner5 minmarkdown

Small Functional Analyst mode

Functional Analyst Mode

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Productivity
PromptBeginner5 minmarkdown

- Append-only to these files: `task.md`

`implementation-plan.md`

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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...

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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

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Data
PromptBeginner5 minmarkdown

│ ├── visualization.md # par

layout

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Data
PromptBeginner5 minmarkdown

│ ├── statistics.md # Hypothesis tests

distributions

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Data
PromptBeginner5 minmarkdown

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

apply family

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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

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Data
PromptBeginner5 minmarkdown

# boxplot(%s ~ %s

data = df

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Data
PromptBeginner5 minmarkdown

fit <- lm(%s ~ %s

data = df)

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Data
PromptBeginner5 minmarkdown

# fit_aov <- aov(%s ~ %s

data = df)

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Data
PromptBeginner5 minmarkdown

# t.test(%s ~ %s

data = df)

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Data
PromptBeginner5 minmarkdown

if (is.null(data_file)) data_file <- paste0(project_name

.csv)

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Data
PromptBeginner5 minmarkdown

check_data <- function(df

top_n_levels = 8) {

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Data
PromptBeginner5 minmarkdown

# saveRDS(df

data_clean.rds)

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