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# Data Science
Data specification generation, Jupyter notebooks, and Streamlit dashboards
## Install
```bash
copilot plugin install data-science@hve-core
```
## Agents
| Agent | Description |
|--------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| gen-data-spec | Generate comprehensive data dictionaries, machine-readable data profiles, and objective summaries for downstream analysis (EDA notebooks, dashboards) through guided discovery |
| gen-jupyter-notebook | Create structured exploratory data analysis Jupyter notebooks from available data sources and generated data dictionaries |
| gen-streamlit-dashboard | Develop a multi-page Streamlit dashboard |
| test-streamlit-dashboard | Automated testing for Streamlit dashboards using Playwright with issue tracking and reporting |
| rpi-agent | Autonomous RPI orchestrator dispatching task-* agents through Research → Plan → Implement → Review → Discover phases - Brought to you by microsoft/hve-core |
| task-researcher | Task research specialist for comprehensive project analysis - Brought to you by microsoft/hve-core |
| task-planner | Implementation planner for creating actionable implementation plans - Brought to you by microsoft/hve-core |
| task-implementor | Executes implementation plans from .copilot-tracking/plans with progressive tracking and change records |
| task-reviewer | Reviews completed implementation work for accuracy, completeness, and convention compliance - Brought to you by microsoft/hve-core |
| memory | Conversation memory persistence for session continuity - Brought to you by microsoft/hve-core |
| prompt-builder | Prompt engineering assistant with phase-based workflow for creating and validating prompts, agents, and instructions files - Brought to you by microsoft/hve-core |
## Commands
| Command | Description |
|-----------------|------------------------------------------------------------------------------------------------------------------------------|
| rpi | Autonomous Research-Plan-Implement-Review-Discover workflow for completing tasks - Brought to you by microsoft/hve-core |
| task-research | Initiates research for implementation planning based on user requirements - Brought to you by microsoft/hve-core |
| task-plan | Initiates implementation planning based on user context or research documents - Brought to you by microsoft/hve-core |
| task-implement | Locates and executes implementation plans using task-implementor mode - Brought to you by microsoft/hve-core |
| task-review | Initiates implementation review based on user context or automatic artifact discovery - Brought to you by microsoft/hve-core |
| checkpoint | Save or restore conversation context using memory files - Brought to you by microsoft/hve-core |
| prompt-analyze | Evaluates prompt engineering artifacts against quality criteria and reports findings - Brought to you by microsoft/hve-core |
| prompt-build | Build or improve prompt engineering artifacts following quality criteria - Brought to you by microsoft/hve-core |
| prompt-refactor | Refactors and cleans up prompt engineering artifacts through iterative improvement - Brought to you by microsoft/hve-core |
## Instructions
| Instruction | Description |
|----------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| writing-style | Required writing style conventions for voice, tone, and language in all markdown content |
| markdown | Required instructions for creating or editing any Markdown (.md) files |
| commit-message | Required instructions for creating all commit messages - Brought to you by microsoft/hve-core |
| prompt-builder | Authoring standards for prompt engineering artifacts including file types, protocol patterns, writing style, and quality criteria - Brought to you by microsoft/hve-core |
| python-script | Instructions for Python scripting implementation - Brought to you by microsoft/hve-core |
| uv-projects | Create and manage Python virtual environments using uv commands |
---
> Source: [microsoft/hve-core](https://github.com/microsoft/hve-core)microsoft/hve-core
Publicmirrored fromhttps://github.com/microsoft/hve-coreAvailable
plugins/data-science/README.md
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