feat: ajouter des sections de projets et des outils dans ArtStudies, et enregistrer une nouvelle invite pour récupérer les projets d'Arthur Danjou

This commit is contained in:
2025-11-14 18:16:46 +01:00
parent d36ba22c9a
commit 234dc7aca5
2 changed files with 25 additions and 0 deletions

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@@ -42,7 +42,11 @@ The projects are organized into two main sections:
- `Statistical Learning`
- `M2`
- `Data Visualisation`
- `Deep Learning`
- `Linear Models`
- `Machine Learning`
- `VBA`
- `SQL`
## 🛠️ Technologies & Tools
@@ -55,10 +59,12 @@ The projects are organized into two main sections:
- [SciPy](https://www.scipy.org): A library for advanced scientific computations including optimization, integration, and signal processing.
- [Scikit-learn](https://scikit-learn.org): A robust library offering simple and efficient tools for machine learning and statistical modeling, including classification, regression, and clustering.
- [TensorFlow](https://www.tensorflow.org): A comprehensive open-source framework for building and deploying machine learning and deep learning models.
- [Keras](https://keras.io): A high-level neural networks API, running on top of TensorFlow, designed for fast experimentation.
- [Matplotlib](https://matplotlib.org): A versatile plotting library for creating high-quality static, animated, and interactive visualizations in Python.
- [Plotly](https://plotly.com): An interactive graphing library for creating dynamic visualizations in Python and R.
- [Seaborn](https://seaborn.pydata.org): A statistical data visualization library built on top of Matplotlib, providing a high-level interface for drawing attractive and informative graphics.
- [RMarkdown](https://rmarkdown.rstudio.com): A dynamic tool for combining code, results, and narrative into high-quality documents and presentations.
- [FactoMineR](https://factominer.free.fr/): An R package focused on multivariate exploratory data analysis (e.g., PCA, MCA, CA).
- [ggplot2](https://ggplot2.tidyverse.org): A grammar-based graphics package for creating complex and elegant visualizations in R.
- [RShiny](https://shiny.rstudio.com): A web application framework for building interactive web apps directly from R.
- and my 🧠.

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@@ -300,6 +300,25 @@ function createServer() {
}
)
server.registerPrompt(
'artmcp-projects',
{
title: 'Get Projects Done by Arthur Danjou',
description: 'Get a list of projects done by Arthur Danjou'
},
async () => {
return {
messages: [{
role: 'user',
content: {
type: 'text',
text: `Provide me a list of projects done by Arthur Danjou.`
}
}]
}
}
)
return server
}