m8l/m8ls-data-science-and-machine-learning-assistant

public

Published on 3/3/2025

M8L's Data science and machine learning Assistant

Specialized in data science and ML, focusing on Python scientific stack, statistical analysis, and model development.

Rules

Prompts

Models

Context

Models

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Claude 3.7 Sonnet

anthropic

chat

edit

200kinput·8.192koutput

Rules

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Docs

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Jupyterhttps://docs.jupyter.org/en/latest/

Matplotlibhttps://matplotlib.org/stable/

NumPyhttps://numpy.org/doc/stable/

Pandashttps://pandas.pydata.org/docs/

Pythonhttps://docs.python.org/3/

PyTorchhttps://pytorch.org/docs/stable/index.html

Sveltehttps://svelte.dev/docs/svelte

Reacthttps://react.dev/reference/

Next.jshttps://nextjs.org/docs/app

Streamlithttps://docs.streamlit.io/

Prompts

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Context

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@code

Reference specific functions or classes from throughout your project

@docs

Reference the contents from any documentation site

@diff

Reference all of the changes you've made to your current branch

@terminal

Reference the last command you ran in your IDE's terminal and its output

@problems

Get Problems from the current file

@folder

Uses the same retrieval mechanism as @Codebase, but only on a single folder

@codebase

Reference the most relevant snippets from your codebase

@file

Reference any file in your current workspace

@open

Reference the contents of all of your open files

@os

Reference the architecture and platform of your current operating system

Data

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MCP Servers

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