dataflows-consumption-cli

Inspect Microsoft Fabric Dataflows Gen2 definitions, parameters, and refresh status from the command line.

3|6|Updated Jun 21, 2024
One-click install
npx skills add https://github.com/rritec/Microsoft-Fabric --skill dataflows-consumption-cli-rritec
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dataflows-consumption-cli
Source: https://github.com/rritec/Microsoft-Fabric/tree/main/skills/plugins/fabric-skills/skills/dataflows-consumption-cli
Command: npx skills add https://github.com/rritec/Microsoft-Fabric --skill dataflows-consumption-cli-rritec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps analysts inspect and query Microsoft Fabric Dataflows Gen2 from the command line without changing the source item.

Core Features & Use Cases

  • List dataflows and locate a target by workspace and name.
  • Decode definitions, discover parameters, and review refresh jobs or failure history.
  • Execute saved queries or run temporary read-only mashup documents, then review Arrow-formatted results.
  • Use case: compare staging queries, verify parameter values, or troubleshoot a failed refresh before touching the dataflow.

Quick Start

Ask the skill to list the dataflows in a workspace and inspect the definition, parameters, and latest refresh status for the one you care about.

Frequently Asked Questions about dataflows-consumption-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I inspect Fabric dataflows from the command line?

You can inspect Fabric dataflows from the command line by using this skill to discover workspaces, decode dataflow definitions, and review parameters without modifying the source item. It requires Azure CLI authentication to access your environment securely.

Can I run ad hoc mashup queries against a Fabric dataflow without modifying it?

Yes, you can execute saved queries or run temporary read-only mashup documents against a Fabric dataflow. The skill returns results in Apache Arrow format, requiring JSON parsing and Arrow result handling for reliable consumption and troubleshooting.

What is the best way to troubleshoot a failed Fabric dataflow refresh?

The best way to troubleshoot a failed Fabric dataflow refresh is to use this skill to monitor refresh jobs and review failure history from the CLI. It provides read-only access to decode definitions and verify parameter values before touching the dataflow.

Does this approach to inspecting Fabric dataflows require Azure CLI authentication?

Yes, inspecting Fabric dataflows with this skill requires Azure CLI authentication. You must authenticate to perform workspace discovery, parameter inspection, and read-only query execution for both saved and ad hoc mashup workflows.

How do I list dataflows in a Fabric workspace and locate a specific target by name?

You can list dataflows in a Fabric workspace and locate a specific target by asking this skill to discover workspaces and decode definitions. It handles JSON parsing to help you compare staging queries and verify parameter values efficiently.