fabric-extract-v2

Extract metadata from Microsoft Fabric workspaces into a SQL Server backend.

Updated May 26, 2026
One-click install
npx skills add https://github.com/rbutinar/ade-ops --skill fabric-extract-v2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fabric-extract-v2
Source: https://github.com/rbutinar/ade-ops/tree/main/.agents/skills/fabric-extract-v2
Command: npx skills add https://github.com/rbutinar/ade-ops --skill fabric-extract-v2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ade_app.platforms.fabric.*, msal, httpx, pyodbc, and includes scripts (resource) and references (resource) components.

What problem does it solve?

fabric-extract-v2 helps manage and organize metadata from Microsoft Fabric workspaces, enabling the creation of a structured catalog for analysis and management.

Core Features & Use Cases

  • Parallel Workspace Metadata Extraction: Extracts metadata (workspaces, semantic models, notebooks, pipelines, report visuals) from Fabric workspaces.
  • Data Organization: Categorizes extracted data into a structured format for easy access and analysis.
  • Use Case: This skill is used to populate a corporate-wide Fabric catalog, ensuring all necessary metadata is available for reference and analysis.

Quick Start

Execute the fabric-extract-v2 skill with the 'inventory' phase to gather workspace and item catalogs.

Frequently Asked Questions about fabric-extract-v2

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

FAQPage Schema
How do I extract metadata from Microsoft Fabric workspaces into a structured catalog?

Extracting Microsoft Fabric workspace metadata involves pulling item catalogs like semantic models, notebooks, and pipelines in parallel, then organizing them into a structured format for corporate-wide analysis and reference.

What is the best way to catalog report visuals and semantic models across multiple Fabric workspaces?

Cataloging report visuals and semantic models across multiple Fabric workspaces is best handled by running parallel metadata extraction processes that aggregate all items into a centralized, structured data format.

Do I need a SQL Server backend to organize extracted Fabric workspace metadata?

Yes, you need a SQL Server backend with specific schemas to support the organization and storage of extracted Fabric workspace metadata when using this extraction approach.

How does parallel workspace metadata extraction work in Microsoft Fabric?

Parallel workspace metadata extraction in Microsoft Fabric works by simultaneously querying multiple workspaces to gather item details, such as notebooks and pipelines, significantly speeding up the cataloging process.

Can I use this Fabric metadata extraction method to populate a corporate-wide data catalog?

Yes, you can use this Fabric metadata extraction method to populate a corporate-wide data catalog, ensuring all necessary workspace metadata is structured and available for reference and analysis.

What are the limitations when extracting metadata from Fabric workspaces using a SQL Server backend?

Limitations when extracting Fabric workspace metadata into a SQL Server backend include the strict requirement for specific platform modules and pre-configured database schemas to successfully store the structured catalog.