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fabric-cli-core

microsoft/fabric-cli

⚡ Microsoft Fabric CLI

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npx -y skilld add gh:microsoft/fabric-cli -s fabric-cli-core

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Fabric CLI Core

This skill defines safe, consistent defaults for an AI agent helping users operate Microsoft Fabric via the Fabric CLI (fab).

1 - Fabric CLI mental model (paths and entities)

Automation Scripts

Ready-to-use Python scripts for core CLI tasks. Run any script with --help for full options.

Script Purpose Usage
health_check.py Verify CLI installation, auth status, and connectivity python scripts/health_check.py [--workspace WS]

Scripts are located in the scripts/ folder of this skill.

Paths and Entities

  • Treat Fabric as a filesystem-like hierarchy with consistent dot (.) entity suffixes in paths (e.g., .Workspace, .Folder, .SemanticModel).
  • The hierarchy structure is:
    • Tenant: The top-level container for everything.
    • Workspace: Personal or team workspace holding folders, items, and workspace-level elements.
    • Folder: Container for organizing items within a workspace (supports ~10 levels of nesting).
    • Item: Individual resource within a workspace or folder (e.g., Notebook, SemanticModel, Lakehouse).
    • OneLakeItem: OneLake storage item residing within a Lakehouse (tables, files, etc.).
  • Prefer and generate paths like:
    • /Workspace1.Workspace/Notebook1.Notebook
    • /Workspace1.Workspace/FolderA.Folder/SemanticModel1.SemanticModel
    • /Workspace1.Workspace/FolderA.Folder/lh1.Lakehouse/Tables (OneLakeItem)
  • When a user provides an ambiguous identifier, ask for the full path (or infer with stated assumptions).

2 - Modes (interactive vs command line)

  • Be explicit about which mode a user is in:
    • Interactive mode behaves like a REPL and runs commands without the fab prefix.
    • Command line mode runs one command per invocation and is best for scripts/automation.
  • The selected mode is preserved between sessions. If a user exits and logs back in, the CLI resumes in the same mode last used.
  • When you provide instructions, show commands in command line mode unless the user says they're in interactive mode.

3 - Authentication (public-safe guidance)

  • Prefer these auth patterns and do not invent new flows:
    1. Interactive user: fab auth login (browser/WAM where supported).
    2. Service principal (secret/cert): use environment variables / secure mechanisms; avoid embedding secrets in files.
    3. Service principal (federated credential): use the federated token environment variable (FAB_SPN_FEDERATED_TOKEN) and do not persist the raw token.
    4. Managed identity: supported for Azure-hosted workloads; no credentials required.
  • Never ask users to paste secrets into chat or print them back.

4 - Sensitive data handling (strict)

  • Never log or output tokens, passwords, client secrets, or raw federated tokens.
  • Validate all user inputs that could affect security:
    • Paths: Sanitize file paths and API parameters.
    • GUIDs: Validate resource identifiers before use.
    • JSON: Validate JSON inputs for proper format.
  • If a user shares sensitive strings, advise rotating/regenerating them and moving to secure storage.

5 - Hidden entities and discovery

  • Hidden entities are special resources not normally visible, following a dot-prefixed naming convention (similar to UNIX hidden files).
  • Tenant-level hidden entities (accessed from root):
    • .capacitiesfab ls .capacities / fab get .capacities/<name>.Capacity
    • .gatewaysfab ls .gateways / fab get .gateways/<name>.Gateway
    • .connectionsfab ls .connections / fab get .connections/<name>.Connection
    • .domainsfab ls .domains / fab get .domains/<name>.Domain
  • Workspace-level hidden entities (accessed within a workspace):
    • .managedidentitiesfab ls ws1.Workspace/.managedidentities
    • .managedprivateendpointsfab ls ws1.Workspace/.managedprivateendpoints
    • .externaldatasharesfab ls ws1.Workspace/.externaldatashares
    • .sparkpoolsfab ls ws1.Workspace/.sparkpools
  • To show hidden resources, recommend ls -a / ls --all.

6 - Errors and troubleshooting guidance

  • When describing failures, include:
    • What the command was trying to do
    • The likely cause
    • The next actionable step
  • If the CLI surfaces an error code/message, keep it intact and do not paraphrase away the key identifiers. (Fabric CLI emphasizes stable error codes/messages.)
  • Include request IDs for API errors to aid debugging when available.

7 - Output conventions for the agent

  • Default to concise, runnable steps.
  • When recommending commands, include:
    • Preconditions (auth, correct workspace/path)
    • Expected result
    • How to verify (e.g., follow-up fab ls / fab get)

8 - Safety defaults

  • Ask before suggesting commands that delete, overwrite, or change access/permissions.
  • If the user explicitly confirms, proceed with a clear rollback note when possible.

9 - Platform and troubleshooting reference

  • Supported platforms: Windows, Linux, macOS.
  • Supported shells: zsh, bash, PowerShell, cmd (Windows command prompt).
  • Python versions: 3.10, 3.11, 3.12, 3.13.
  • CLI file storage (useful for troubleshooting):
    • Config files are stored in ~/.config/fab/:
      • cache.bin — encrypted auth token cache
      • config.json — non-sensitive CLI settings
      • auth.json — non-sensitive auth info
      • context-<session_id> — path context for command-line mode sessions
    • Debug logs are written to:
      • Windows: %AppData%/fabcli_debug.log
      • macOS: ~/Library/Logs/fabcli_debug.log
      • Linux: ~/.local/state/fabcli_debug.log

10 - Critical operational rules

  • First run: Always run fab auth status to verify authentication before executing commands. If not authenticated, ask the user to run fab auth login.
  • Learn before executing: Always use fab --help and fab <command> --help the first time you use a command to understand its syntax.
  • Start simple: Try the basic fab command alone first before piping or chaining.
  • Non-interactive mode: Use fab in command-line mode when working with coding agents. Interactive mode doesn't work with automation.
  • Force flag: Use -f when executing commands if the flag is available to run non-interactively (skips confirmation prompts).
  • Verify before acting: If workspace or item name is unclear, ask the user first, then verify with fab ls or fab exists before proceeding.
  • Permission errors: If a command is blocked by permissions, stop and ask the user for clarification; never try to circumvent it.

11 - Common item types

Extension Description
.Workspace Workspace container
.Folder Folder within workspace
.SemanticModel Power BI dataset/semantic model
.Report Power BI report
.Dashboard Power BI dashboard
.Notebook Fabric notebook
.Lakehouse Lakehouse
.Warehouse Data warehouse
.DataPipeline Data pipeline
.SparkJobDefinition Spark job definition
.Eventstream Real-time event stream
.KQLDatabase KQL database
.MLModel ML model
.MLExperiment ML experiment
.Capacity Fabric capacity (hidden)
.Gateway Data gateway (hidden)
.Connection Connection (hidden)

Use fab desc .<ItemType> to explore any item type.

12 - Command references

For detailed command syntax and working examples, see:

Source: SKILL.md on GitHub

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