tom-operations Skill
Guide for working with the TOM (Tabular Object Model) wrapper. Use this when modifying semantic models programmatically. Published by microsoft in semantic-link-labs.
What is tom-operations Skill?
Guide for working with the TOM (Tabular Object Model) wrapper. Use this when modifying semantic models programmatically. Published by microsoft in semantic-link-labs. 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 tom-operations Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/semantic-link-labs
- Skill file: .claude/skills/tom-operations/SKILL.md
What it does
Guide for working with the TOM (Tabular Object Model) wrapper. Use this when modifying semantic models programmatically.
Skill instructions
TOM (Tabular Object Model) Operations This skill covers working with the TOM wrapper in Semantic Link Labs for programmatic semantic model management. When to Use This Skill Use this skill when you need to: - Read or modify semantic model metadata - Add/remove tables, columns, measures, relationships - Work with calculation groups and items - Manage partitions and data sources - Implement model management features --- Overview The TOM wrapper provides a Pythonic interface to the Tabular Object Model (TOM), which is the object model for Analysis Services semantic models. Key Files | File | Purpose | |------|---------| | src/sempylabs/tom/init.py | Module exports | | src/sempylabs/tom/model.py | TOMWrapper class implementation | --- Basic Usage Connecting to a Semantic Model python from sempylabs.tom import connectsemanticmodel Read-only connection with connectsemanticmodel( dataset="My Semantic Model", readonly=True, workspace="My Workspace" ) as tom: Read model metadata for measure in
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Frequently asked questions
What is tom-operations?
tom-operations is a open-source AI agent skill with Copy skill directory. Guide for working with the TOM (Tabular Object Model) wrapper. Use this when modifying semantic models programmatically.
Who is tom-operations best for?
tom-operations is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install tom-operations?
Install or run tom-operations using Copy skill directory. Check tom-operations for the latest setup command.
Is tom-operations actively maintained?
tom-operations may need a closer maintenance check before production use.
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