dataflows-consumption-cli Skill
Monitor, inspect, and query saved Fabric Dataflows Gen2 with read-only CLI. List dataflows, decode mashup.pq/queryMetadata.json/.platform, inspect parameters, refresh status, job history, staging, and destinations, or run saved/ad-hoc read-only executeQuery requests and parse Arrow. Handle explicit requests to mutate t Published by microsoft in skills-for-fabric.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is dataflows-consumption-cli Skill?
Monitor, inspect, and query saved Fabric Dataflows Gen2 with read-only CLI. List dataflows, decode mashup.pq/queryMetadata.json/.platform, inspect parameters, refresh status, job history, staging, and destinations, or run saved/ad-hoc read-only executeQuery requests and parse Arrow. Handle explicit requests to mutate t Published by microsoft in skills-for-fabric. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: skills/dataflows-consumption-cli/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use dataflows-consumption-cli Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills-for-fabric
- Skill file: skills/dataflows-consumption-cli/SKILL.md
What it does
Monitor, inspect, and query saved Fabric Dataflows Gen2 with read-only CLI. List dataflows, decode mashup.pq/queryMetadata.json/.platform, inspect parameters, refresh status, job history, staging, and destinations, or run saved/ad-hoc read-only executeQuery requests and parse Arrow. Handle explicit requests to mutate t
Skill instructions
Update Check — ONCE PER SESSION (mandatory) The first time this skill is used in a session, run the check-updates skill before proceeding. - GitHub Copilot CLI / VS Code: invoke the check-updates skill. - Claude Code / Cowork / Cursor / Windsurf / Codex: compare local vs remote package.json version. - Skip if the check was already performed earlier in this session. 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 a dataflow by name: list all dataflows in the workspace and filter by displayName client-side — there is no server-side name filter 3. getDefinition is a POST, not GET — even though it reads data SCOPE BOUNDARY — READ-ONLY (mandatory) This skill is strictly read-only. You must never create, update, or delete a dataflow or its definition — that means no Delete Dataflow, no Create Dataflow, no updateDefinition, and no other mutating/destructive call (e.g. az rest --method dele
Verified compatibility and discovery
Frequently asked questions
What is dataflows-consumption-cli?
dataflows-consumption-cli is a open-source AI agent skill with Copy skill directory. Monitor, inspect, and query saved Fabric Dataflows Gen2 with read-only CLI.
Who is dataflows-consumption-cli best for?
dataflows-consumption-cli is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install dataflows-consumption-cli?
Install or run dataflows-consumption-cli using Copy skill directory. Check dataflows-consumption-cli for the latest setup command.
Is dataflows-consumption-cli actively maintained?
dataflows-consumption-cli may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.