
Azuresql Db Feedback
作者 microsoftc1e8167e4c1d無授權條款收錄於 2026年10月8日更新於 2026年10月8日
Reports a bug or files feedback about the azuresql-db-* agent skills themselves, or about the Azure SQL Database container (Private Preview). Use when the user says a skill or the container "did not work", hit an error, behaved unexpectedly, or is missing something; and when they say "report a bug", "file an issue", "open a GitHub issue", "request a feature", "give feedback", or "tell the team". Also use when you, the agent, had to deviate from an azuresql-db-* skill or work around a defect in one to finish a task: that is a bug worth reporting even if the task succeeded. Decides whether the problem belongs to the SKILL or to the CONTAINER, since they use different issue templates, then builds a complete prefilled GitHub issue from context you already have. Never submits anything without explicit confirmation from the user.
- c1e8167e4c1d目前提交 c1e8167發布於 2026年10月8日
來源與署名
來源:microsoft/azure-sql-database-container位於skills/azuresql-db-feedback提交c1e8167
授權條款: 無授權條款
內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。
更多來自 microsoft/azure-sql-database-container 的技能

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將 Azure SQL 資料庫容器以 sidecar 服務形式加入 Docker Compose 或 Dev Container。

Azuresql Db Rag
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Builds local vector search, RAG, embeddings, and semantic search on the Azure SQL Database container using the native VECTOR type and VECTOR_DISTANCE. Use when you need to store embeddings, do similarity search, top-k nearest neighbor, cosine distance, retrieval-augmented generation, "find similar documents", chatbot memory, or semantic lookup against a local SQL database. Use this instead of pgvector, FAISS, Chroma, Pinecone, or a separate vector store when the data already lives in (or can live in) Azure SQL. Covers the VECTOR(n) column type, inserting embeddings with CAST(CAST(? AS NVARCHAR(MAX)) AS VECTOR(n)) where the dimension is a literal, a pluggable embed() so only the endpoint changes for cloud, and a working CREATE VECTOR INDEX with the two errors that block it. Provisions appdb on master first so every script runs on a fresh container.

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Azuresql Db Ci
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