How does this help with AI integration in databases?

The skill includes implementation guides for connecting SQL Server to Azure AI Foundry, OpenAI, and Ollama, as well as managing ONNX models with PREDICT syntax.

Does this skill support the new SQL Server 2025 VECTOR data type?

Yes, it provides full support for the native VECTOR type, supporting up to 3,996 dimensions and half-precision floating-point formats.

Can I use this for database deployment automation?

Absolutely. It contains specific command patterns for SqlPackage 170.x to handle publishing, extracting, and exporting database objects with SQL 2025 features.

Are Windows file path requirements handled correctly?

Yes, the skill enforces mandatory backslash usage for Windows file paths to ensure compatibility with Edit and Write tools.

Does it support the modern SDK-style SQL projects?

Yes, it provides configuration patterns for Microsoft.Build.Sql 2.0.0 GA, including cross-platform support for Windows, Linux, and macOS.

SQL Server 2025 & SqlPackage Support

Name: SQL Server 2025 & SqlPackage Support
Author: JosiahSiegel

byJosiahSiegel

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Database Management

Enables advanced SQL Server 2025 capabilities including native vector database support, AI model integration, and modernized deployment workflows.

About

This skill provides specialized domain knowledge for SQL Server 2025 and SqlPackage 170.2.70, empowering Claude to handle the latest enterprise database features. It includes comprehensive implementation patterns for native vector storage and DiskANN indexing, AI service integration directly within T-SQL, and configuration of zero-ETL mirroring for Microsoft Fabric. Users can leverage this skill to modernize their database projects using the production-ready Microsoft.Build.Sql SDK, implement optimized locking for high-concurrency workloads, and ensure perfect compatibility with the 2025 syntax and deployment tools.

Key Features

7 GitHub stars
SDK-style project configuration using Microsoft.Build.Sql 2.0.0
Performance tuning via Optimized Locking and LAQ patterns
SqlPackage 170.x automation for modern CI/CD pipelines
Native Vector Database support with DiskANN indexing patterns
T-SQL AI model integration for Azure OpenAI and ONNX

Use Cases

Migrating legacy database projects to the modern cross-platform Microsoft.Build.Sql SDK format
Implementing zero-ETL analytics pipelines with Microsoft Fabric mirroring and Azure Arc
Building RAG (Retrieval-Augmented Generation) applications using native SQL Server vector storage

About

Key Features

7 GitHub stars
SDK-style project configuration using Microsoft.Build.Sql 2.0.0
Performance tuning via Optimized Locking and LAQ patterns
SqlPackage 170.x automation for modern CI/CD pipelines
Native Vector Database support with DiskANN indexing patterns
T-SQL AI model integration for Azure OpenAI and ONNX

Use Cases

Migrating legacy database projects to the modern cross-platform Microsoft.Build.Sql SDK format
Implementing zero-ETL analytics pipelines with Microsoft Fabric mirroring and Azure Arc
Building RAG (Retrieval-Augmented Generation) applications using native SQL Server vector storage