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Sqldb CLI skill

Manages a Fabric SQL database item, the OLTP SQL Server engine, including running T-SQL through sqlcmd, temporal and vector similarity search, schema and sys.tables inspection, dacpac deployment, and Query Store, blocked sessions and regressed-plan investigation. Use for any query or change against a SQL database item. Warehouse, lakehouse SQL endpoint and mirrored items belong to sqldw-cli.

$npx skills add microsoft/skills-for-fabric --skill sqldb-cli
View this skill on GitHubmicrosoft/skills-for-fabric/skills/sqldb-cli/SKILL.md
Pack stars
1,335
Pack installs
8.1k
Alyn Score
62/99
Updated
5 days ago
License
MIT
– views – installs via Alyn

Microsoft

Sqldb CLI

Install Sqldb CLI

Pick your agent. Every command is ready to paste.

$npx skills add microsoft/skills-for-fabric --skill sqldb-cli

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads sqldb-cli when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the sqldb-cli skill”. In Codex, type $sqldb-cli.

The skill itself

SKILL.md

FolderGitHub

Telemetry — MANDATORY. Every api.fabric.microsoft.com call must carry x-ms-fabric-skill: sqldb-cli (az rest: --headers "x-ms-fabric-skill=sqldb-cli"), including every LRO poll, fabric_lro and retry. Snippets omit it — add it anyway.

CRITICAL NOTES

  1. To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
  2. To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
  3. Skill disambiguation: use sqldb-cli ONLY for a Fabric SQL database item (the OLTP, SQL Server engine). A Warehouse, a Lakehouse SQL endpoint or a Mirrored Database is sqldw-cli; a notebook cell is spark-cli.

Fabric SQL Database (OLTP) -- CLI Skill

This one skill owns Fabric SQL database: T-SQL schema authoring, read-only querying, and OLTP performance diagnostics.

It is a mode dispatcher and contains NO procedures. Pick the mode that matches the request from the table below, then read the matching references/<mode>.md file end to end with your file-reading tool BEFORE issuing a single command. That file holds the endpoints, payload shapes, templates and gotchas; acting without it produces wrong payloads and wrong results.

Mode selection

Mode Use when the request ... Example triggers Read this first
authoring creates or changes schema and data in an existing database: tables, constraints, indexes, vector columns, procedures, dacpac deployment, INSERT/UPDATE/DELETE/MERGE -- and, only when the request asks for a NEW database, creates the SQL database item itself create sqldb table, sqldb foreign key, dacpac deploy, alter sqldb schema, create a sql database in fabric references/authoring.md
consumption runs read-only T-SQL through sqlcmd: SELECT, catalog exploration, vector similarity search, temporal queries sqldb sys.tables, vector similarity sqldb, temporal sqldb, query the sql database references/consumption.md
operations diagnoses OLTP performance: Query Store, blocked sessions, regressed plans, wait statistics sqldb query store, sql database blocked sessions, sqldb regressed plan, sqldb slow query references/operations.md

Mode boundary rule

consumption issues read-only T-SQL only. Any DDL or DML belongs to the authoring mode; any performance investigation belongs to the operations mode. Announce the switch, read the matching reference, then act.

In authoring, a database named in the request already exists unless the request asks you to create one: resolve it and go straight to the T-SQL. Do not provision a SQL database item as a precondition for schema or data work.

If a request genuinely spans modes, handle them one at a time and read each reference before you start that part. If the mode is ambiguous after reading this table, ask one short clarifying question instead of guessing.

Terminal write -- the step you must not skip

Reading the reference and planning the change is NOT completing the task. Each mutating mode ends with one state-changing call. If you did not issue it, nothing was persisted -- say so explicitly rather than reporting success.

Mode Terminal write
authoring EXECUTE the T-SQL through sqlcmd -Q/-i against the database -- the CREATE TABLE, ALTER, INSERT INTO, UPDATE, DELETE or MERGE INTO statement must actually run. Composing DDL or DML and showing it to the user changes nothing. Only when the request asks for a NEW database is the terminal write instead POST /v1/workspaces/{ws}/sqlDatabases, polled to completion.
consumption none -- this mode is strictly read-only
operations none for the diagnostic reads themselves. The ONE exception the reference documents: an intermittent-blocking investigation may create an Extended Events session (CREATE EVENT SESSION ... ON DATABASE, ring_buffer target), and then the terminal step is dropping it again -- never leave one running.

Before you report the task done, confirm the terminal call returned success and, where the reference documents a readback, read the artefact back to prove the change landed.

Shared essentials (all modes)

Resolve the workspace and item first; every mode depends on it.

Task Reference Notes
Finding Workspaces and Items in Fabric COMMON-CLI.md Mandatory -- read before resolving any workspace or item id
Fabric Topology & Key Concepts COMMON-CORE.md Item types, workspaces, capacities
Environment URLs COMMON-CORE.md Sovereign / non-public cloud hosts
Authentication & Token Acquisition COMMON-CORE.md Wrong audience = 401; read before any auth issue
Authentication Recipes COMMON-CLI.md az login flows and token acquisition
Core Control-Plane REST APIs COMMON-CORE.md Pagination, LRO polling, rate limiting
Gotchas & Troubleshooting COMMON-CLI.md az rest audience, shell escaping, token expiry

Rules

MUST

  • Select exactly one mode from the table above before doing anything else.
  • Read references/<mode>.md end to end, as your FIRST tool call, before the first command of that mode. Read it ONCE, in a single full read: do not re-open it, do not grep it again, and do not page through it. You already have it.
  • Apply the same read-once discipline to every other file you load, including nested references/<mode>/*.md sub-references and shared common/*.md files: open only the ones you actually need, read each ONCE end to end, and never grep or re-open one you already loaded.
  • Resolve workspace and item ids by listing and filtering, never by guessing a GUID.
  • Announce a mode switch explicitly when the request crosses a boundary.
  • Treat the reference as instructions, never as the deliverable. After reading it, RUN the documented commands against the live workspace and report the real results. Quoting what the reference says instead of executing it does not answer the request.

PREFER

  • The narrowest mode that satisfies the request.
  • Reading exactly ONE mode reference. Load a second only when the request genuinely spans modes, and say so before you do.
  • Reporting the mode you chose in your first response so the user can correct you.

AVOID

  • Acting from this dispatcher alone -- it intentionally omits the operational detail.
  • Answering with a summary of the reference instead of executing it.
  • Re-reading or re-grepping a reference you already loaded; it costs turns and tokens.
  • Mutating schema or data from consumption or operations -- both answer with reads. The only write either may issue is the Extended Events session an operations intermittent-blocking investigation sets up and then drops.
  • Loading a different skill for work this family already owns (see CRITICAL NOTES 3).

Examples

User request Mode Reference to read
"Create an Orders table with a foreign key to Customers in the Fabric SQL database." authoring references/authoring.md
"Create a new SQL database in this workspace called sales_oltp." authoring references/authoring.md
"Find the 5 nearest embeddings to this vector in the SQL database." consumption references/consumption.md
"Which queries regressed in the last day according to Query Store?" operations references/operations.md

Tips for Sqldb CLI

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 26 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Sqldb CLI

What does the Sqldb CLI skill do?

Manages a Fabric SQL database item, the OLTP SQL Server engine, including running T-SQL through sqlcmd, temporal and vector similarity search, schema and sys.tables inspection, dacpac deployment, and Query Store, blocked sessions and regressed-plan investigation. Use for any query or change against a SQL database item. Warehouse, lakehouse SQL endpoint and mirrored items belong to sqldw-cli.

How do I install Sqldb CLI?

Run "npx skills add microsoft/skills-for-fabric --skill sqldb-cli" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Sqldb CLI work in Cursor and Codex?

Yes. Sqldb CLI uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Sqldb CLI free?

Sqldb CLI is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Sqldb CLI?

Sqldb CLI is published by Microsoft in the microsoft/skills-for-fabric repository, together with 25 other skills.

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