agentleFS
MicrosoftKnown publishermicrosoft/skills-for-fabric/skills/sqldb-cli/SKILL.md

sqldb-cli

Skill1.4k starsChanged 4 days agoMITView on GitHub

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.

Adopted by

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 0 new projectsWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Who's talking about microsoft/skills-for-fabric

The biggest 5 of 37 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 37

Talked about on GitHub (37 times).

On GitHub · 37

32 more on GitHub

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If a request genuinely spans modes, handle them one at a time and read each reference before you start that part.

    line 35
  2. Distinctive:

    Before you report the task done, confirm the terminal call returned success and, where the reference documents a readback, read the …

    line 47
  3. Very specific:

    Read references/<mode>.md end to end, as your FIRST tool call, before the first command of that mode.

    line 68
  4. Distinctive:

    Treat the reference as instructions, never as the deliverable.

    line 72

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

ModeUse when the request ...Example triggersRead this first
authoringcreates 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 itselfcreate sqldb table, sqldb foreign key, dacpac deploy, alter sqldb schema, create a sql database in fabricreferences/authoring.md
consumptionruns read-only T-SQL through sqlcmd: SELECT, catalog exploration, vector similarity search, temporal queriessqldb sys.tables, vector similarity sqldb, temporal sqldb, query the sql databasereferences/consumption.md
operationsdiagnoses OLTP performance: Query Store, blocked sessions, regressed plans, wait statisticssqldb query store, sql database blocked sessions, sqldb regressed plan, sqldb slow queryreferences/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.

ModeTerminal write
authoringEXECUTE 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.
consumptionnone -- this mode is strictly read-only
operationsnone 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.

TaskReferenceNotes
Finding Workspaces and Items in FabricCOMMON-CLI.mdMandatory -- read before resolving any workspace or item id
Fabric Topology & Key ConceptsCOMMON-CORE.mdItem types, workspaces, capacities
Environment URLsCOMMON-CORE.mdSovereign / non-public cloud hosts
Authentication & Token AcquisitionCOMMON-CORE.mdWrong audience = 401; read before any auth issue
Authentication RecipesCOMMON-CLI.mdaz login flows and token acquisition
Core Control-Plane REST APIsCOMMON-CORE.mdPagination, LRO polling, rate limiting
Gotchas & TroubleshootingCOMMON-CLI.mdaz 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 requestModeReference to read
"Create an Orders table with a foreign key to Customers in the Fabric SQL database."authoringreferences/authoring.md
"Create a new SQL database in this workspace called sales_oltp."authoringreferences/authoring.md
"Find the 5 nearest embeddings to this vector in the SQL database."consumptionreferences/consumption.md
"Which queries regressed in the last day according to Query Store?"operationsreferences/operations.md

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.