Power Bi Agentic Development

Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI skills, subagents, and hooks for semantic models, DAX, TMDL, reports, and AI dashboards. Includes Microsoft Fabric skills and Fabric agents. Weekly updates.

Data ScienceC#GPL-3.0

Abstract

Power Bi Agentic Development is an open-source Data Science project. Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI skills, subagents, and hooks for semantic models, DAX, TMDL, reports, and AI dashboards. Includes Microsoft Fabric skills and Fabric agents. Weekly updates. The best source for Power BI AI skills and agentic development resources in one marketplace Teach AI agents like Claude Code or GitHub Copilot Power BI and Microsoft Fabric. It is built using C#, Power BI. The complete source code is publicly available on GitHub under the GNU General Public License v3.0, making it a useful reference for students building a Data Science mini project or final-year project.

1. Introduction

The best source for Power BI AI skills and agentic development resources in one marketplace Teach AI agents like Claude Code or GitHub Copilot Power BI and Microsoft Fabric

2. Objective

Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI skills, subagents, and hooks for semantic models, DAX, TMDL, reports, and AI dashboards. Includes Microsoft Fabric skills and Fabric agents. Weekly updates.

This project demonstrates how C#, Power BI can be applied to a real-world Data Science problem.

4. Technology Stack

C#Power BI

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • .NET SDK / Visual Studio
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/data-goblin/power-bi-agentic-development.git
cd power-bi-agentic-development
claude plugin marketplace add data-goblin/power-bi-agentic-development

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Turn the analysis into an interactive dashboard
  • Automate data refresh with a scheduled job
  • Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. What is the source of the dataset and how was missing data handled?
  2. Which exploratory analysis steps revealed the most useful insight?
  3. Why were these particular charts chosen to present the data?
  4. Which statistical or ML technique supports the conclusions?
  5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by data-goblin and published on GitHub under the GNU General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.

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