schema-discovery Skill
Explore Power BI semantic model schemas using DAX INFO functions. Progressive metadata discovery strategy, scope estimation, and narrowing techniques for tables, columns, measures, and relationships. Published by microsoft in fabric-apps-analytic-templates.
Decision snapshot
Is this a fit?
Developers using fabric-apps-analytic-templates, Includes SKILL.md, Reusable instructions
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Copy skill directory
3 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is schema-discovery Skill?
Explore Power BI semantic model schemas using DAX INFO functions. Progressive metadata discovery strategy, scope estimation, and narrowing techniques for tables, columns, measures, and relationships. Published by microsoft in fabric-apps-analytic-templates. 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
- Developers using fabric-apps-analytic-templates
Declared skill metadata
- Source file: .agents/skills/schema-discovery/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 schema-discovery Skill
- Use it for developers using fabric-apps-analytic-templates.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/fabric-apps-analytic-templates
- Skill file: .agents/skills/schema-discovery/SKILL.md
What it does
Explore Power BI semantic model schemas using DAX INFO functions. Progressive metadata discovery strategy, scope estimation, and narrowing techniques for tables, columns, measures, and relationships.
Skill instructions
Schema Discovery Table of Contents | Task | Reference | Notes | |---|---|---| | Must/Prefer/Avoid | SKILL.md: Must/Prefer/Avoid | Guardrails for schema discovery | | Progressive Discovery Strategy | SKILL.md: Progressive Schema Discovery | Decision tree for on-demand metadata fetching | | Recommended Discovery Order | SKILL.md: Recommended Discovery Order | Start with scope estimation → tables → columns → measures → relationships | | Metadata Object → INFO Function Map | SKILL.md: Metadata Object → INFO Function Map | Tables, columns, measures, relationships, calc groups, calendars, UDFs, variations | | Scope Estimation Queries | discovery-queries.md: Scope Estimation Queries | Probe table/column/measure/relationship counts before deep discovery | | INFO Output Columns | discovery-queries.md: INFO Output Columns | INFO.VIEW. (read access); INFO. (may need elevated access) | | Narrowing Results (Projection + Filtering) | discovery-queries.md: Narrowing Results | SELECTCOLUMNS + FILTER t
Verified compatibility and discovery
Frequently asked questions
What is schema-discovery?
schema-discovery is a open-source AI agent skill with Copy skill directory. Explore Power BI semantic model schemas using DAX INFO functions. Progressive metadata discovery strategy, scope estimation, and narrowing techniques for tables, columns, measures, and relationships.
Who is schema-discovery best for?
schema-discovery is best for reusing agent instructions, scripts, and references.
How do I install schema-discovery?
Install or run schema-discovery using Copy skill directory. Check schema-discovery for the latest setup command.
Is schema-discovery actively maintained?
schema-discovery 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.
