fabric-metadata-creation Skill
Create reviewable metadata proposals for Microsoft Fabric lakehouse tables and semantic models. Covers schema analysis, concise technical and business descriptions, glossary terms, classifications, Purview-like sensitivity label proposals, PII and sensitive data detection, relationship and lineage hints, data quality r Published by microsoft in gh-copilot-fabric-agents.
What is fabric-metadata-creation Skill?
Create reviewable metadata proposals for Microsoft Fabric lakehouse tables and semantic models. Covers schema analysis, concise technical and business descriptions, glossary terms, classifications, Purview-like sensitivity label proposals, PII and sensitive data detection, relationship and lineage hints, data quality r 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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use fabric-metadata-creation Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/gh-copilot-fabric-agents
- Skill file: .github/skills/fabric-metadata-creation/SKILL.md
What it does
Create reviewable metadata proposals for Microsoft Fabric lakehouse tables and semantic models. Covers schema analysis, concise technical and business descriptions, glossary terms, classifications, Purview-like sensitivity label proposals, PII and sensitive data detection, relationship and lineage hints, data quality r
Skill instructions
Fabric Metadata Creation - Reference Generates non-destructive metadata proposals for Microsoft Fabric lakehouse tables, files, views, and semantic models. The result is a steward-review package that can later be mapped into a data catalog such as Microsoft Purview, but it must not apply catalog changes automatically. The agent's core principle is traceability: every suggestion must distinguish metadata explicitly found in the source from metadata inferred by the agent, include a confidence level, and carry assumptions or open questions when evidence is incomplete. Global Rules - Proposal only. Never modify Fabric assets, Purview assets, glossary terms, labels, classifications, owners, stewards, retention policies, or access controls. - Human review required. Governance outcomes are suggestions, not decisions. - No invented accountability. Do not invent real owners, stewards, contacts, responsible teams, legal requirements, or compliance decisions. Use Unknown, TBD, or an open question
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Frequently asked questions
What is fabric-metadata-creation?
fabric-metadata-creation is a open-source AI agent skill with Copy skill directory. Create reviewable metadata proposals for Microsoft Fabric lakehouse tables and semantic models.
Who is fabric-metadata-creation best for?
fabric-metadata-creation is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install fabric-metadata-creation?
Install or run fabric-metadata-creation using Copy skill directory. Check fabric-metadata-creation for the latest setup command.
Is fabric-metadata-creation actively maintained?
fabric-metadata-creation may need a closer maintenance check before production use.
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