fabric-cli-core

作者: microsoft

使用 Microsoft Fabric CLI (fab) 管理工作区、语义模型、报告、笔记本和 Fabric 资源。当用户提到 fab、Fabric CLI 或……时激活。

npx skills add https://github.com/microsoft/fabric-cli --skill fabric-cli-core

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.

ScriptPurposeUsage
health_check.pyVerify CLI installation, auth status, and connectivitypython 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

ExtensionDescription
.WorkspaceWorkspace container
.FolderFolder within workspace
.SemanticModelPower BI dataset/semantic model
.ReportPower BI report
.DashboardPower BI dashboard
.NotebookFabric notebook
.LakehouseLakehouse
.WarehouseData warehouse
.DataPipelineData pipeline
.SparkJobDefinitionSpark job definition
.EventstreamReal-time event stream
.KQLDatabaseKQL database
.MLModelML model
.MLExperimentML experiment
.CapacityFabric capacity (hidden)
.GatewayData gateway (hidden)
.ConnectionConnection (hidden)

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

12 - Command references

For detailed command syntax and working examples, see:

来自 microsoft 的更多技能

oss-growth
microsoft
OSS增长黑客角色
official
microsoft-foundry
microsoft
端到端部署、评估和管理Foundry代理:Docker构建、ACR推送、托管/提示代理创建、容器启动、批量评估、持续评估、提示优化工作流、agent.yaml、从追踪中整理数据集。用途:将代理部署到Foundry、托管代理、创建代理、调用代理、评估代理、运行批量评估、持续评估、持续监控、持续评估状态、优化提示、改进提示、提示优化器、优化代理指令、改进代理...
officialdevelopmentdevops
azure-ai
microsoft
用于Azure AI:搜索、语音、OpenAI、文档智能。支持搜索、向量/混合搜索、语音转文字、文字转语音、转录、OCR。适用场景:AI搜索、查询搜索、向量搜索、混合搜索、语义搜索、语音转文字、文字转语音、转录、OCR、文字转语音。
officialdevelopmentapi
azure-deploy
microsoft
对已准备好的应用程序执行Azure部署,这些程序需包含现有的.azure/deployment-plan.md和基础设施文件。当用户要求创建新应用程序时,请勿使用此技能——应改用azure-prepare。此技能运行azd up、azd deploy、terraform apply和az deployment命令,并内置错误恢复机制。需要来自azure-prepare的.azure/deployment-plan.md以及来自azure-validate的已验证状态。适用场景:"运行azd up"、"运行azd deploy"、"执行部署"...
officialdevopsaws
azure-storage
microsoft
Azure存储服务,包括Blob存储、文件共享、队列存储、表存储和Data Lake。解答关于存储访问层(热、冷、冷、归档)的问题,说明各层的使用场景及对比。提供对象存储、SMB文件共享、异步消息传递、NoSQL键值存储和大数据分析。包含生命周期管理。用途:Blob存储、文件共享、队列存储、表存储、Data Lake、上传文件、下载Blob、存储账户、访问层等。
officialdevelopmentdatabase
azure-diagnostics
microsoft
使用AppLens、Azure Monitor、资源健康和安全分类调试Azure生产问题。适用场景:调试生产问题、排查应用服务、应用服务CPU过高、应用服务部署失败、排查容器应用、排查函数、排查AKS、kubectl无法连接、kube-system/CoreDNS故障、Pod挂起、CrashLoop、节点未就绪、升级失败、分析日志、KQL、洞察、镜像拉取失败、冷启动问题、健康探测失败……
officialdevopsdevelopment
azure-prepare
microsoft
为Azure应用准备部署(基础设施Bicep/Terraform、azure.yaml、Dockerfile)。用于创建/现代化或创建+部署;不用于跨云迁移(使用azure-cloud-migrate)。请勿用于:copilot-sdk应用(使用azure-hosted-copilot-sdk)。适用场景:"创建应用"、"构建Web应用"、"创建API"、"创建无服务器HTTP API"、"创建前端"、"创建后端"、"构建服务"、"现代化应用"、"更新应用"、"添加身份验证"、"添加缓存"、"托管在Azure上"、"创建并...
officialdevelopmentdevops
azure-validate
microsoft
部署前对Azure就绪状态进行验证。对配置、基础设施(Bicep或Terraform)、RBAC角色分配、托管标识权限及先决条件进行深度检查,然后再部署。适用场景:验证我的应用、检查部署就绪状态、运行预检、验证配置、检查是否可部署、验证azure.yaml、验证Bicep、部署前测试、排查部署错误、验证Azure Functions、验证函数应用、验证无服务器...
officialdevopstesting