Power BI Deployment

Export, import, and version Power BI semantic models using TMDL/TMSL and git workflows.

Updated Apr 17, 2026

Search Tags:#version control #deployment #power bi #semantic models #tmdl #tmsl #pbi-cli

Ready to run

npx skills add https://github.com/marcelodfelman/pbi-skills --skill power-bi-deployment

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Power BI Deployment
Source: https://github.com/marcelodfelman/pbi-skills/tree/main/power-bi-deployment
Command: npx skills add https://github.com/marcelodfelman/pbi-skills --skill power-bi-deployment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams manage Power BI semantic model changes reliably by providing workflows for exporting, importing, backing up, and deploying model definitions without losing version history.

Core Features & Use Cases

TMDL and TMSL Management: Export and import Power BI semantic models in text-based or JSON formats for lifecycle management and compatibility workflows.
Model Version Control: Compare TMDL snapshots, store semantic models in git, and track structural changes across development environments.
Transactional Deployment: Apply multi-step model changes safely with commit and rollback workflows, including validation and production deployment preparation.

Quick Start

Use the Power BI Deployment skill to export my semantic model to TMDL, compare it with a previous version, and prepare it for deployment.

Frequently Asked Questions about Power BI Deployment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I version control Power BI semantic models using TMDL?▼

You can version control Power BI semantic models by exporting model definitions to TMDL text-based format and storing them in git. This enables tracking structural changes, comparing TMDL snapshots across development environments, and maintaining complete version history for your semantic models.

What's the best way to deploy Power BI semantic model changes transactionally?▼

Transactional Power BI semantic model deployment applies multi-step model changes safely using commit and rollback workflows. This approach includes deployment validation and production deployment preparation, ensuring atomic updates that can be rolled back if validation fails during the model lifecycle.

Can I export and import Power BI models in both TMDL and TMSL formats?▼

Yes, Power BI semantic models can be exported and imported in both TMDL text-based format and TMSL JSON format. This dual-format support enables lifecycle management and compatibility workflows across different Power BI development environments and tooling requirements.

Do I need pbi-cli to manage Power BI semantic model lifecycle operations?▼

Yes, pbi-cli operations are required for Power BI semantic model lifecycle management. The pbi-cli tool enables export, import, snapshot comparison, atomic updates, and deployment validation needed for reliable transactional changes and model versioning workflows.

How does comparing TMDL snapshots help with Power BI model migrations?▼

Comparing TMDL snapshots tracks structural changes across Power BI development environments by highlighting differences between model versions. This snapshot comparison identifies exactly what changed, enabling safe migrations, backups, and validated production deployments without losing version history.

When should I use TMDL versus TMSL for Power BI model version control?▼

TMDL text-based format is ideal for git-based version control and snapshot comparison due to readability, while TMSL JSON format suits compatibility workflows and transactional changes. Both formats support export, import, and lifecycle management of Power BI semantic model definitions.