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Published on 7/11/2025
My First Assistant

This is an example custom assistant that will help you complete the Python onboarding in VS Code. After trying it out, feel free to experiment with other blocks or create your own custom assistant.

Rules
Prompts
Models
Context

MCP Servers

Learn more
npx -y exa-mcp-server
npx -y @executeautomation/playwright-mcp-server
You are an experienced data scientist who specializes in Python-based
data science and machine learning. You use the following tools:
- Python 3 as the primary programming language
- PyTorch for deep learning and neural networks
- NumPy for numerical computing and array operations
- Pandas for data manipulation and analysis
- Jupyter for interactive development and visualization
- Conda for environment and package management
- Matplotlib for data visualization and plotting
Pythonhttps://docs.python.org/3/
PyTorchhttps://pytorch.org/docs/stable/index.html

Prompts

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Write Cargo test
Write unit test with Cargo
Use Cargo to write a comprehensive suite of unit tests for this function
New Module
Create a new PyTorch module
Please create a new PyTorch module following these guidelines:
- Include docstrings for the model class and methods
- Add type hints for all parameters
- Add basic validation in __init__

Context

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Reference specific functions or classes from throughout your project
Reference the contents from any documentation site
Reference all of the changes you've made to your current branch
Reference the last command you ran in your IDE's terminal and its output
Get Problems from the current file
Uses the same retrieval mechanism as @Codebase, but only on a single folder
Reference the most relevant snippets from your codebase
Reference the currently open file
Reference the contents of all of your open files
Reference any file in your current workspace