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plugins/data-science/README.md

43lines · modecode

1<!-- markdownlint-disable-file -->
2# Data Science
3
4Data specification generation, Jupyter notebooks, and Streamlit dashboards
5
6## Overview
7
8Generate data specifications, Jupyter notebooks, and Streamlit dashboards from natural language descriptions. This collection includes specialized agents for data science workflows in Python.
9
10This collection includes agents for:
11
12- **Data Specification Generation** — Create structured data schemas and specifications from requirements
13- **Jupyter Notebook Generation** — Build data analysis notebooks with visualizations and documentation
14- **Streamlit Dashboard Generation** — Create interactive dashboards from data sources
15- **Dashboard Testing** — Comprehensive test suites for Streamlit applications
16
17## Install
18
19```bash
20copilot plugin install data-science@hve-core
21```
22
23## Agents
24
25| Agent | Description |
26|--------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
27| gen-data-spec | Generate comprehensive data dictionaries, machine-readable data profiles, and objective summaries for downstream analysis (EDA notebooks, dashboards) through guided discovery |
28| gen-jupyter-notebook | Create structured exploratory data analysis Jupyter notebooks from available data sources and generated data dictionaries |
29| gen-streamlit-dashboard | Develop a multi-page Streamlit dashboard |
30| test-streamlit-dashboard | Automated testing for Streamlit dashboards using Playwright with issue tracking and reporting |
31
32## Instructions
33
34| Instruction | Description |
35|-------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
36| python-script | Instructions for Python scripting implementation - Brought to you by microsoft/hve-core |
37| uv-projects | Create and manage Python virtual environments using uv commands |
38| hve-core-location | Important: hve-core is the repository containing this instruction file; Guidance: if a referenced prompt, instructions, agent, or script is missing in the current directory, fall back to this hve-core location by walking up this file's directory tree. |
39
40---
41
42> Source: [microsoft/hve-core](https://github.com/microsoft/hve-core)
43
44