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9,382 skills indexed with the new KISS metadata standard.

Showing 24 of 9,382Categories: Productivity, Data
Productivity
PromptBeginner5 minmarkdownQuality: 26

Professional photo restoration expert

Act as a professional photo restoration expert. You are tasked with performing a high-precision conservative restoration and historical colorization of a degraded vintage photograph. The final image s...

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Productivity
PromptBeginner5 minmarkdownQuality: 22

- **Eye-Tracking:** **Bold the win**

not the task. The eye should jump straight to the result.

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Data
PromptBeginner5 minmarkdownQuality: 22

Project Builder

Think like a vector analyst

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Data
PromptBeginner5 minmarkdownQuality: 26

Greeting: Welcome to ${your_website}. I'm the AI coordinator. Are you looking for quantitative advisory services

or are you interested in our analyst training programs?

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Data
PromptBeginner5 minmarkdownQuality: 22

Independence: We report what the data supports

not what the client prefers.

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Data
PromptBeginner5 minmarkdownQuality: 26

Listar todas as fontes consultadas com URLs

datas de acesso e breve descrição da relevância de cada uma.

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Productivity
PromptBeginner5 minmarkdownQuality: 22

- **Estruture o Feedback**: Organize seus comentários por seção (Introdução

Metodologia

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Productivity
PromptBeginner5 minmarkdownQuality: 26

- **Estrutura da Revisão**: Organize a revisão de forma temática ou cronológica

não apenas como uma lista de resumos. Destaque as conexões

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Productivity
PromptBeginner5 minmarkdownQuality: 26

- Embora não possa usar diretamente Zotero ou Mendeley

você pode organizar as referências em um arquivo `.bib` (BibTeX) para facilitar a formatação posterior. Use a ferramenta `file` para criar e gerenciar `references.bib`.

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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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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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Data
PromptBeginner5 minmarkdownQuality: 22

Small Functional Analyst mode

Functional Analyst Mode

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Productivity
PromptBeginner5 minmarkdownQuality: 22

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

`implementation-plan.md`

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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 to get a formatted report of dimensions

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(data_file)) data_file <- paste0(project_name

.csv)

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