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microsoft-fabric

Access Microsoft Fabric APIs, schemas, and OneLake file operations.

3|1|Updated Feb 2, 2026
Search Tags:#openapi#schema#data pipeline#lakehouse#onelake#microsoft fabric#fabric api
One-click install
npx skills add https://github.com/HouseGarofalo/claude-code-base --skill microsoft-fabric-housegarofalo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: microsoft-fabric
Source: https://github.com/HouseGarofalo/claude-code-base/tree/main/.claude/skills/microsoft-fabric
Command: npx skills add https://github.com/HouseGarofalo/claude-code-base --skill microsoft-fabric-housegarofalo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive, local-first expert guidance for Microsoft Fabric development, enabling users to access APIs, schemas, best practices, and manage OneLake without needing live environment connections.

Core Features & Use Cases

  • API Discovery: Enumerate and access Fabric workload APIs (e.g., Lakehouses, Pipelines, Semantic Models).
  • Schema Access: Retrieve JSON schemas for item definitions to ensure correct data structures.
  • OneLake Management: Perform file and item operations like download, upload, list, and delete within OneLake.
  • Best Practices: Access guidance on common development topics like pagination, error handling, and authentication.
  • Use Case: When building a data pipeline in Fabric, use this Skill to discover the DataPipeline API, get its item schema, and then create a new pipeline with the correct configuration.

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 find the correct JSON schema for a Microsoft Fabric data pipeline?▼

To find the correct JSON schema for a Microsoft Fabric data pipeline, you can retrieve specific item schemas for DataPipelines to ensure your data structures and configurations are completely accurate.

Can I manage OneLake files without a live connection to the Fabric environment?▼

Yes, you can manage OneLake files without a live connection by using local-first guidance to perform file operations like upload, download, list, and delete on your OneLake items.

What is the best way to discover Fabric workload APIs for semantic models?▼

The best way to discover Fabric workload APIs for semantic models is to enumerate available Fabric workload types and access their public OpenAPI specifications directly.

How do I handle authentication and pagination when building Microsoft Fabric APIs?▼

To handle authentication and pagination when building Microsoft Fabric APIs, access the provided best practices guidance covering common development topics like error handling and authentication.

Does local-first Microsoft Fabric development require external dependencies?▼

Local-first Microsoft Fabric development does not require external dependencies, enabling you to access APIs, schemas, and best practices directly without needing live environment connections.

How do I create a Lakehouse item using the Fabric API?▼

To create a Lakehouse item using the Fabric API, discover the Lakehouse API endpoint, retrieve its specific item definition schema, and configure your new item with the correct structure.

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