microsoft-fabric

Manage Microsoft Fabric resources and OneLake files via public APIs.

6|2|Updated Jan 22, 2026

Search Tags:#data pipeline #workspace management #lakehouse #onelake #microsoft fabric #fabric api

Ready to run

npx skills add https://github.com/fgarofalo56/Suppercharge_Microsoft_Fabric --skill microsoft-fabric-fgarofalo56

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: microsoft-fabric
Source: https://github.com/fgarofalo56/Suppercharge_Microsoft_Fabric/tree/main/.github/skills/microsoft-fabric
Command: npx skills add https://github.com/fgarofalo56/Suppercharge_Microsoft_Fabric --skill microsoft-fabric-fgarofalo56

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers developers to efficiently interact with and manage Microsoft Fabric resources, including APIs, OneLake storage, and various Fabric items, all without needing to connect to live environments.

Core Features & Use Cases

API Discovery: Explore and understand Fabric's REST APIs for workloads like Lakehouses, Pipelines, and Semantic Models.
OneLake Management: Perform file and directory operations (upload, download, delete, create) directly within OneLake.
Item Management: Create, list, and manage Fabric items such as Lakehouses, Notebooks, and Pipelines.
Use Case: A developer needs to programmatically create a new Lakehouse, upload initial data files to its /Files directory, and then create a data pipeline to process that data. This Skill provides the tools and guidance to accomplish this entire workflow.

Quick Start

Use the microsoft-fabric skill to list all available Fabric workload types.

Frequently Asked Questions about microsoft-fabric

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

FAQPage Schema

How do I create a Lakehouse and upload data files to OneLake programmatically?▼

To create a Lakehouse and upload data to OneLake programmatically, you can use this Skill to access Fabric public APIs for item creation and perform direct file operations like uploading to the `/Files` directory without a live connection.

Can I discover Microsoft Fabric REST APIs for data pipelines and semantic models without connecting to a live environment?▼

Yes, you can discover Microsoft Fabric REST APIs for data pipelines and semantic models without a live environment. This Skill provides local-first access to explore and understand Fabric's public APIs for various workloads.

What is the best way to manage OneLake files locally for Fabric integrations?▼

The best way to manage OneLake files locally for Fabric integrations is using this Skill's OneLake operations, which facilitate direct file and directory management including uploading, downloading, deleting, and creating files.

Does this approach support creating and listing Fabric items like Notebooks and Pipelines via API?▼

Yes, this approach supports creating and listing Fabric items like Notebooks and Pipelines via API. The Skill provides comprehensive tools and guidance for item management alongside its API discovery and OneLake features.

What do I need to build an end-to-end Fabric data pipeline from initial data upload to processing?▼

To build an end-to-end Fabric data pipeline, you need access to Fabric public APIs and OneLake operations. This Skill provides the necessary tools to create the Lakehouse, upload initial data files, and create the data pipeline to process that data.