Communication
PromptBeginner5 minmarkdown
- Communication patterns between components with protocol
format
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Data
PromptBeginner5 minmarkdown
- Data models with entity definitions
relationships
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Communication
PromptBeginner5 minmarkdown
- Choose communication patterns (REST
GraphQL
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Communication
PromptBeginner5 minmarkdown
- Specify communication patterns between components: synchronous (REST
gRPC)
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Data
PromptBeginner5 minmarkdown
- Design data models with core entities
relationships
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Data
PromptBeginner5 minmarkdown
- **Design comprehensive system architectures** with clear component boundaries
data flow paths
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Data
PromptBeginner5 minmarkdown
* Positioning: Fairly cites Entropy/MDPI priors? Compares apples-to-apples (e.g.
same datasets
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Data
PromptBeginner5 minmarkdown
Project Builder
Think like a vector analyst
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Data
PromptBeginner5 minmarkdown
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 minmarkdown
Independence: We report what the data supports
not what the client prefers.
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Data
PromptBeginner5 minmarkdown
Listar todas as fontes consultadas com URLs
datas de acesso e breve descrição da relevância de cada uma.
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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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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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Communication
PromptBeginner5 minmarkdown
Communication: direct
precise
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Data
PromptBeginner5 minmarkdown
Small Functional Analyst mode
Functional Analyst Mode
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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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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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