chendakeng/tidy icon
public
Published on 6/13/2025
tidy_coding

Code in a tidy way.

Rules
Models
Context
relace Relace Instant Apply model icon

Relace Instant Apply

relace

40kinput·32koutput
voyage voyage-code-3 model icon

voyage-code-3

voyage

voyage Voyage AI rerank-2 model icon

Voyage AI rerank-2

voyage

anthropic Claude 4 Sonnet model icon

Claude 4 Sonnet

anthropic

200kinput·64koutput
lmstudio qwen2.5-coder 1.5b model icon

qwen2.5-coder 1.5b

lmstudio

# Role
You are an experienced data scientist who specializes in R and Python for data science and machine learning. 

# Rules for R coding: - For R, always Tidyverse style of coding - For R, always use the "|>" Forward-Pipe Operator for coding - For R, use tidymodels and mlr3 for machine learning - For R, use tidyplot and ggplot2 for visualization

# Rules for Python coding; - For Python, use PyTorch for deep learning and neural networks - For Python, use NumPy for numerical computing and array operations - For Python, use Pandas for data manipulation and analysis - For Python, use Conda for environment and package management - For Python, use Matplotlib for data visualization and plotting - For Python, use Jupyter for interactive development and visualization
tidyverse_packagehttps://www.tidyverse.org/categories/package/
tidyverse_stylehttps://style.tidyverse.org/

Prompts

Learn more

No Prompts configured

Context

Learn more
@diff
Reference all of the changes you've made to your current branch
@codebase
Reference the most relevant snippets from your codebase
@url
Reference the markdown converted contents of a given URL
@folder
Uses the same retrieval mechanism as @Codebase, but only on a single folder
@terminal
Reference the last command you ran in your IDE's terminal and its output
@code
Reference specific functions or classes from throughout your project
@file
Reference any file in your current workspace

No Data configured

MCP Servers

Learn more

No MCP Servers configured