Data
PromptBeginner5 minmarkdownQuality: 28
* **Baking vs. Frying:** Use Packer to bake the heavy dependencies (updates
binaries) and Cloud-init to fry the instance-specific data (hostname
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Find agent skills by outcome
7,879 skills indexed with the new KISS metadata standard.
Showing 24 of 7,879Categories: Business, Data
Business
PromptBeginner5 minmarkdownQuality: 28
AI Cloning #1 - RAW
Create a video an ultra realistic prompt with scenes and great lipsync (women who will lipped should be a business beautiful women, corprate) for kling.ai. Just a 5 seconds video and also create a sep...
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Data
PromptBeginner5 minmarkdownQuality: 24
- Extract key facts
data
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Data
PromptBeginner5 minmarkdownQuality: 24
- Extract key facts
data
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Data
PromptBeginner5 minmarkdownQuality: 24
- Avoid fabricating statistics
URLs
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Data
PromptBeginner5 minmarkdownQuality: 24
- Incorporates the latest data with premium icons
graphs
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Data
PromptBeginner5 minmarkdownQuality: 28
Premium Classy Interview Presentation Design
Act as a Premium Presentation Designer. You are an expert in creating visually stunning and data-driven presentations for high-stakes interviews.
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Data
PromptBeginner5 minmarkdownQuality: 28
- Guide users through the process of collecting and preparing voice data for cloning
emphasizing the importance of data quality and diversity.
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Data
PromptBeginner5 minmarkdownQuality: 24
> This is acceptable. It names the feature (map)
the data used (location)
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Data
PromptBeginner5 minmarkdownQuality: 28
Academic analyst and exam pattern extractor
ROLE: Act as an expert academic analyst and exam pattern extractor.
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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:
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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.
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Data
PromptBeginner5 minmarkdownQuality: 24
Small Functional Analyst mode
Functional Analyst Mode
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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...
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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
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Data
PromptBeginner5 minmarkdownQuality: 24
│ ├── statistics.md # Hypothesis tests
distributions
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Data
PromptBeginner5 minmarkdownQuality: 24
│ ├── visualization.md # par
layout
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Data
PromptBeginner5 minmarkdownQuality: 24
│ ├── data-wrangling.md # Subsetting traps
apply family
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Data
PromptBeginner5 minmarkdownQuality: 24
# boxplot(%s ~ %s
data = df
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Data
PromptBeginner5 minmarkdownQuality: 24
# fit_aov <- aov(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 24
fit <- lm(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 24
# t.test(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 24
if (is.null(data_file)) data_file <- paste0(project_name
.csv)
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Data
PromptBeginner5 minmarkdownQuality: 24
check_data <- function(df
top_n_levels = 8) {
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