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Variable Library CLI

MicrosoftOfficialPublished by Microsoft

  • Skill
  • Tool integration
  • Automation and integrations
  • MIT
  • No issues found

From the author

Manages Fabric Variable Library items, including definitions, libraryVariables and valueSets overrides. Covers which consumers can reference a variable and with what syntax -- pipelines, notebooks via notebookutils variableLibrary, Dataflow Gen2, Copy Jobs, shortcuts, UDFs and Plan items -- the active value set per workspace or deployment stage, and Git serialization for CI/CD.
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The variable-library-cli skill provides a structured interface for managing Microsoft Fabric Variable Library items. It handles the definition of variables, default values, and value set overrides, as well as the operational state of active value sets within workspaces. The skill is organized into three distinct modes—authoring, consumption, and operations—to separate definition management from consumer wiring and workspace deployment state. It is designed to support CI/CD workflows by facilitating Git serialization and ensuring consistent variable resolution across various Fabric consumers like pipelines, notebooks, and Dataflow Gen2.

What it does

  • Creates and updates Variable Library definitions including variables, types, and defaults.
  • Manages value set overrides for different deployment stages or environments.
  • Configures consumer item references to link Variable Library values into pipelines, notebooks, and other Fabric items.
  • Controls the active value set state for specific workspaces.
  • Supports Git serialization for CI/CD integration.
  • Provides guidance on defensive coding practices for variable consumption.

When to use it

  • When you need to define or modify a central configuration library in Fabric.
  • When you need to wire a library variable into a pipeline, notebook, or Dataflow Gen2 item.
  • When you need to switch the active environment configuration (e.g., dev to prod) for a workspace.
  • When setting up CI/CD pipelines that require automated management of variable definitions.

Advantages

  • Centralizes configuration management across diverse Fabric consumers.
  • Enables environment-specific overrides without duplicating logic.
  • Supports robust CI/CD practices through clear separation of definition and operational planes.
  • Provides a consistent contract for referencing variables in downstream items.

Usage examples

“Create a Variable Library named AppConfig with a dev and prod value set.”
The agent will use the authoring mode to define the library structure, including variables and the specified value set files, and persist the new item to the workspace.
“Wire the target_path variable into my ingest pipeline.”
The agent will use the consumption mode to provide the correct libraryVariables contract to be added to the pipeline definition.
“Point the prod workspace at the prod value set after deployment.”
The agent will use the operations mode to update the activeValueSetName property for the specified Variable Library item in the production workspace.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/variable-library-cli/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip variable-library-cli.zip -d .agents/skills

Documentation by Microsoft

Telemetry — MANDATORY. Every api.fabric.microsoft.com call must carry x-ms-fabric-skill: variable-library-cli (az rest: --headers "x-ms-fabric-skill=variable-library-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 a workspace name: list all workspaces, then use JMESPath filtering.

  2. To find the item details (including its ID) from a workspace ID, item type, and item name: list all items of that type in that workspace, then use JMESPath filtering.

  3. Variable Library has two planes: definition files in Git, and active value set item state in the workspace. Do not treat the active value set as a Git edit. The definition plane is authoring; the item-state plane is operations.

  4. Variable Library definition requests must omit the format field entirely. Do not send format: null.

  5. Skill disambiguation: use variable-library-cli for every Variable Library concern, including the Variable Library side of a consumer reference. Deep authoring of the consumer item itself belongs elsewhere: pipelines to pipeline-migration, notebooks to spark-cli, Dataflow Gen2 to dataflows-cli, Git lifecycle to git-integration-operations-cli, deployment pipeline mechanics to deployment-pipelines-authoring-cli.

  6. Clarify before creating on an underspecified request. If a "set up / create a Variable Library" request does not name the variables, their types, defaults, and value sets, ask a clarifying question or present structured options before creating anything. Do not fabricate a configuration and silently create the item without confirming intent. (A concrete, fully specified request needs no confirmation.)

  7. When generating consumer code (notebooks, UDFs) that reads a Boolean Variable Library value, coerce it defensively with str(value).lower() == "true". Never use bool(value) on a string: every non-empty string, including "false", is truthy in Python, so bool("false") is always True.

  8. Do not write a value set override whose value equals the variable's default. An override pins the value: once written, later edits to the default no longer reach that value set, so a redundant override silently opts the value set out of inheritance. Omit the override and let the value set inherit. Only override where the value genuinely differs.

Fabric Variable Library -- CLI Skill

This one skill owns Fabric Variable Library items: definitions and value sets, the VL side of consumer references, the active value set item state, and Variable Library CI/CD behavior.

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.

Read it once per session. A file you have already read stays in context, so do not re-read it on a later turn.

Mode selection

ModeUse when the request ...Example triggersRead this first
authoringcreates or changes the library definition: variables, defaults, types, value set override files, settings.jsoncreate variable library, add a variable, valueSets, variableOverrides, valueSetsOrder, updateDefinitionreferences/authoring.md
consumptionwires a variable into a consumer item, or explains how a consumer resolves itlibraryVariables, notebookutils variableLibrary, pipeline expression, Dataflow Gen2 / copy job / shortcut / UDF / Plan referencereferences/consumption.md
operationsreads or switches the active value set, or covers stages, Git serialization and deploymentactive value set, activeValueSetName, promote to prod, per-stage values, Git diff, fabric-cicdreferences/operations.md
Mode boundary rule

Classify by plane, not by vocabulary. A request that mentions value sets is authoring when it changes the override files and operations when it changes which value set is active in a workspace. Creating valueSets/prod.json is authoring; pointing the prod workspace at it is operations.

consumption covers the Variable Library side of a reference only. Authoring the consumer item's own definition belongs to that item's skill (CRITICAL NOTES 5).

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
authoringPOST /v1/workspaces/{ws}/items with type: "VariableLibrary" for a new library, or POST /v1/workspaces/{ws}/items/{id}/updateDefinition to persist an edit. Both send base64 definition parts and must omit format. Building the JSON locally writes nothing.
consumptionthe consumer item's own update call, owned by that item's skill. This skill's deliverable is the correct reference contract to place in it.
operationsPATCH /v1/workspaces/{ws}/variableLibraries/{id} with {"properties":{"activeValueSetName":"<name>"}}. This is item state: it does not edit settings.json, variables.json, or valueSets/*.json, and it does not appear in a Git diff.

Before you report the task done, confirm the terminal call returned success and read the artefact back to prove the change landed. For operations, read back with GET /variableLibraries/{id}: the generic /items/{id} omits properties and will not show the active value set.

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
Authentication & Token AcquisitionCOMMON-CORE.mdWrong audience = 401; read before any auth issue
Authentication RecipesCOMMON-CLI.mdaz login flows and token acquisition
Fabric REST with az restCOMMON-CLI.mdPrimary access method for this skill
Core Control-Plane REST APIsCOMMON-CORE.mdPagination, LRO polling, rate limiting
Long-Running Operations (LRO)COMMON-CLI.mdCreate and definition APIs can return 202
VariableLibrary item definitionITEM-DEFINITIONS-CORE.mdCanonical part paths and field names
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.

  • 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.

  • Use the canonical part names variables.json, settings.json, and valueSets/<name>.json, with value for defaults and variableOverrides for value set overrides.

  • Produce every artefact the user asked for, under the name they used, and keep its heading even when the finding is "none".

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.

  • Generating JSON bodies with Python or jq so base64 payloads are valid UTF-8 and quoting is stable.

  • Recommending fabric-cicd for full deployment automation rather than hand-rolling it here.

AVOID
  • Acting from this dispatcher alone -- it intentionally omits the operational detail.

  • Stringifying value-set overrides. Each variableOverrides[].value must use the variable's NATIVE JSON type; a stringified boolean or number is rejected with InvalidContent (InvalidValueOrTypeMismatch) despite the REST doc listing the field as String.

  • Using defaultValue, values, or format in Variable Library definitions.

  • Fabric fab CLI command syntax. It exists, but Variable Library command shapes are not verified here.

  • Deep-authoring consumer item definitions (CRITICAL NOTES 5).

  • Re-reading or re-grepping a reference you already loaded; it costs turns and tokens.

Examples

User requestModeReference to read
"Create a Variable Library with a dev and prod value set."authoringreferences/authoring.md
"Wire the target_path variable into my ingest pipeline."consumptionreferences/consumption.md
"Point the prod workspace at the prod value set after deployment."operationsreferences/operations.md
"Why didn't my Git diff show the value set switch?"operationsreferences/operations.md
"Add a Boolean flag variable, then read it from a notebook."authoring, then consumptionboth, one at a time

Files

ATTRIBUTION.md

Attribution

This folder is an unmodified copy of the Agent Skill "variable-library-cli", distributed by AutoGineer (https://autogineer.com/agent-skills).

The skill's own files are unmodified copies. AutoGineer is not affiliated with or endorsed by the author or the publisher.

Files added by AutoGineer

  • ATTRIBUTION.md: this file, written by AutoGineer

  • LICENSE: copied from LICENSE

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

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Attribution and licence

Published by
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/skills-for-fabric · skills/variable-library-cli · commit f8fac11
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
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microsoft/skills-for-fabric

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download variable-library-cli.zip