fabric-optimization-review Skill
Review and optimize data storage, data models, and semantic models in Microsoft Fabric lakehouses. Covers Delta table optimization (V-Order, Z-Order, compaction, partitioning), data model anti-pattern detection, semantic model DAX review, relationship optimization, AI/agentic readiness (descriptions, synonyms, linguist Published by microsoft in gh-copilot-fabric-agents.
What is fabric-optimization-review Skill?
Review and optimize data storage, data models, and semantic models in Microsoft Fabric lakehouses. Covers Delta table optimization (V-Order, Z-Order, compaction, partitioning), data model anti-pattern detection, semantic model DAX review, relationship optimization, AI/agentic readiness (descriptions, synonyms, linguist 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-optimization-review Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/gh-copilot-fabric-agents
- Skill file: .github/skills/fabric-optimization-review/SKILL.md
What it does
Review and optimize data storage, data models, and semantic models in Microsoft Fabric lakehouses. Covers Delta table optimization (V-Order, Z-Order, compaction, partitioning), data model anti-pattern detection, semantic model DAX review, relationship optimization, AI/agentic readiness (descriptions, synonyms, linguist
Skill instructions
Fabric Optimization Review — Reference Analyzes Microsoft Fabric lakehouse tables, data models, and semantic models to detect performance issues, anti-patterns, and optimization opportunities. Produces actionable recommendations with severity, effort, and expected impact. Review Categories The agent performs three independent review tracks. The user can request one, several, or all: | Track | Target | What It Checks | |-------|--------|----------------| | Data Storage | Lakehouse Delta tables | File sizes, compaction, partitioning, V-Order, Z-Order, small files, schema evolution | | Data Model | Lakehouse table relationships | Normalization, star-schema compliance, redundant columns, key integrity, naming conventions | | Semantic Model | Power BI semantic models (TMDL) | DAX measure quality, relationship cardinality, hidden columns, implicit measures, format strings, role-playing dimensions | | AI & Agentic Readiness | Semantic models + lakehouse tables | Descriptions, synonyms, lingui
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Frequently asked questions
What is fabric-optimization-review?
fabric-optimization-review is a open-source AI agent skill with Copy skill directory. Review and optimize data storage, data models, and semantic models in Microsoft Fabric lakehouses.
Who is fabric-optimization-review best for?
fabric-optimization-review is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install fabric-optimization-review?
Install or run fabric-optimization-review using Copy skill directory. Check fabric-optimization-review for the latest setup command.
Is fabric-optimization-review actively maintained?
fabric-optimization-review may need a closer maintenance check before production use.
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