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fabric-semantic-model Skill

AI Agent SkillOpen source

Infer and generate Power BI semantic models (TMDL format) from Microsoft Fabric lakehouse tables. Covers star-schema detection, table classification (fact/dimension), relationship inference, DAX measure generation, data type mapping, and deployment via REST API. Use when: create semantic model, build data model, star s Published by microsoft in gh-copilot-fabric-agents.

Decision snapshot

Is this a fit?

Best for

Deployment, Data analysis, Includes SKILL.md, Reusable instructions

Works with

VS Code

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

3 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

How to use fabric-semantic-model Skill

Compatible clients

VS Code

What is fabric-semantic-model Skill?

Infer and generate Power BI semantic models (TMDL format) from Microsoft Fabric lakehouse tables. Covers star-schema detection, table classification (fact/dimension), relationship inference, DAX measure generation, data type mapping, and deployment via REST API. Use when: create semantic model, build data model, star s Published by microsoft in gh-copilot-fabric-agents. 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
7/100

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
  • Deployment
  • Data analysis
  • Deployment use cases
  • Data analysis use cases

Declared skill metadata

  • Compatibility: Requires the Fabric MCP Server VS Code extension for table discovery. Generates TMDL files deployable to Microsoft Fabric via REST API.
  • Source file: .github/skills/fabric-semantic-model/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directoryVS Code
  • Install or run with Copy skill directory
  • Works with VS Code

When to use fabric-semantic-model Skill

  • Use it for deployment.
  • Use it for data analysis.

Built with

Copy skill directoryVS Code

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/gh-copilot-fabric-agents
  • Skill file: .github/skills/fabric-semantic-model/SKILL.md

What it does

Infer and generate Power BI semantic models (TMDL format) from Microsoft Fabric lakehouse tables. Covers star-schema detection, table classification (fact/dimension), relationship inference, DAX measure generation, data type mapping, and deployment via REST API. Use when: create semantic model, build data model, star s

Skill instructions

Fabric Semantic Model Creator — Reference Generates Power BI semantic models in TMDL format by analyzing lakehouse table schemas and sample data. The agent reasons about table names, column names, data types, cardinality, and sample values to infer the best star-schema model. Table Classification Rules Classify each lakehouse table as fact or dimension based on these signals: | Signal | Fact Table | Dimension Table | |--------|-----------|-----------------| | Name patterns | Contains fact, fct, sales, orders, transactions, events, log, movements | Contains dim, lookup, calendar, date, product, customer, employee, geography, category, status | | Column patterns | Has multiple id/key foreign keys + numeric measure columns (amount, quantity, price, total, count) | Has a single primary key + descriptive text columns (name, description, label, title, code) | | Row count | Typically high (transactions) | Typically low (reference data) | | Numeric density | Many numeric columns relative to to

Verified compatibility and discovery

Frequently asked questions

What is fabric-semantic-model?

fabric-semantic-model is a open-source AI agent skill for VS Code with Copy skill directory. Infer and generate Power BI semantic models (TMDL format) from Microsoft Fabric lakehouse tables.

Who is fabric-semantic-model best for?

fabric-semantic-model is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows, vs code users.

How do I install fabric-semantic-model?

Install or run fabric-semantic-model using Copy skill directory. Check fabric-semantic-model for the latest setup command.

Is fabric-semantic-model actively maintained?

fabric-semantic-model may need a closer maintenance check before production use.

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1
Forks
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Last commit
3 months ago
Last verified
Sep 3, 2026
Metadata fetched
Sep 3, 2026
Repository age
4 months
License
MIT

Project health auto-fetched from the source repository.

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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.

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