semantic-model-authoring

semantic-model-authoring is a Data warehousing & modelling skill for AI agents, published by RuiRomano in the powerbi-agentic-mcp-cloud-agent repository on GitHub. Skillspace rates semantic-model-authoring D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Develops and manages Power BI semantic models across Desktop, PBIP projects, and Fabric Service. Handles (1) creating new models (Import, DirectQuery, Direct Lake), (2) editing measures, tables, columns, and relationships, (3) deploying models to Fabric workspaces, (4) working with PBIP project files, (5) refreshing semantic models, (6) configuring data sources and permissions, (7) DAX performance optimization. Supports both Power BI Desktop and Fabric Service development workflows. Does NOT handle report layout/visual authoring or workspace administration. Triggers: "create semantic model", "edit/develop semantic model", "add measure", "PBIP", "refresh semantic model", "semantic model authoring", "Direct Lake", "DAX optimization", "semantic model permissions".

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
34

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubRuiRomano/powerbi-agentic-mcp-cloud-agent

Our review

Architecture
78 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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