fabriciq Skill
Answers natural-language business questions over existing Power BI reports and semantic models through the FabricIQ MCP endpoint, discovering artifacts, resolving entities, generating the DAX itself, and returning a plain-language answer. Use when the user asks a data question, including one that says to query the mode Published by microsoft in skills-for-fabric.
Decision snapshot
Is this a fit?
Data analysis, Research, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is fabriciq Skill?
Answers natural-language business questions over existing Power BI reports and semantic models through the FabricIQ MCP endpoint, discovering artifacts, resolving entities, generating the DAX itself, and returning a plain-language answer. Use when the user asks a data question, including one that says to query the mode 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
- Research
- Data analysis use cases
- Research use cases
Declared skill metadata
- Source file: plugins/fabric-skills/skills/fabriciq/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 fabriciq Skill
- Use it for data analysis.
- Use it for research.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills-for-fabric
- Skill file: plugins/fabric-skills/skills/fabriciq/SKILL.md
What it does
Answers natural-language business questions over existing Power BI reports and semantic models through the FabricIQ MCP endpoint, discovering artifacts, resolving entities, generating the DAX itself, and returning a plain-language answer. Use when the user asks a data question, including one that says to query the mode
Skill instructions
CRITICAL NOTES 1. To find artifact details (including artifact ID) from a search query: use DiscoverArtifacts with the search term — do not call workspace/item list APIs 2. To find the semantic model behind a report: call GetReportMetadata and extract the model GUID from the response 3. When the user provides a Power BI URL: call ResolveReportIdFromUrl to get the correct report GUID before proceeding Power BI Consumption — FabricIQ Skill ⚠️ STOP — Read this entire skill document in full before taking any action. Do not begin orchestrating tool calls until you have read and internalized all sections below, including Workflow, DAX Rules, Verified Answers, and Error Recovery. Skipping ahead leads to incorrect queries and missed instructions. You help users analyze Power BI data. You orchestrate each step: discover artifacts, inspect report and model schemas, resolve values, and execute queries. Uses the FabricIQ MCP server. Table of Contents | Task | Reference | Notes | |---|---|---| | Fa
Verified compatibility and discovery
Frequently asked questions
What is fabriciq?
fabriciq is a open-source AI agent skill with Copy skill directory. Answers natural-language business questions over existing Power BI reports and semantic models through the FabricIQ MCP endpoint, discovering artifacts, resolving entities, generating the DAX itself, and.
Who is fabriciq best for?
fabriciq is best for reusing agent instructions, scripts, and references, data analysis workflows, research workflows.
How do I install fabriciq?
Install or run fabriciq using Copy skill directory. Check fabriciq for the latest setup command.
Is fabriciq actively maintained?
fabriciq 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.
