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microsoftAI agent skills for Microsoft Fabric operations
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Summary
This project provides a collection of standardized, production-ready agent skills for Microsoft Fabric, enabling AI coding assistants like GitHub Copilot CLI to safely author, query, and operate complex data workloads. It targets developers, data engineers, analysts, and administrators, offering benefits such as enhanced productivity, enterprise-grade security, and auditable operations over Fabric resources.
How It Works
Skills for Fabric leverages a modular "Agent Skills" architecture where individual skills represent focused capabilities (e.g., Spark execution, SQL querying). These skills act as Fabric-aware agents, interacting directly with authenticated Microsoft Fabric APIs. The design prioritizes enterprise security through explicit authentication/authorization, strict separation of instructions from user content, prevention of arbitrary code execution, and robust prompt injection defenses, differentiating it from less secure prompt-only approaches.
Quick Start & Requirements
/plugin marketplace add microsoft/skills-for-fabric, /plugin install skills-for-fabric@fabric-collection). Manual installation is supported via git clone and platform-specific scripts (install.ps1 for Windows, install.sh for Linux/macOS).az login). Skills do not store secrets.Highlighted Details
Maintenance & Community
The project follows standard open-source contribution guidelines, requiring pull requests to pass tests and security scans. Issues should be filed via GitHub Issues. While specific community channels (like Discord/Slack) are not listed, the "first-party" nature suggests strong backing from Microsoft.
Licensing & Compatibility
Licensed under the permissive MIT License. This license generally allows for commercial use and integration into closed-source projects without significant restrictions.
Limitations & Caveats
The project is dependent on the Microsoft Fabric ecosystem and Azure AD authentication. While designed for enterprise readiness, specific performance benchmarks or detailed unsupported platform lists are not provided in the README. The focus is on secure interaction rather than raw performance optimization.
2 weeks ago
Inactive