Individual skill

semantic-model-analyzer

Use when someone asks for a Power BI semantic model audit, review or documentation, hands over or pastes TMDL, a PBIP or Power Query M, or asks about a model's measures, lineage, relationships, query folding, Copilot readiness or what changed between versions. Not for row counts, refresh or performance; never edits the model.

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md

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Matches the observed repository HEAD: Yes
Scanner rules are current: No
Repository scan complete: No
Skill scan complete: No
Observed behavior: Not checked yet
Last checked: Nov 11, 2026

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Repository context

Repository stars (not skill ratings): 21
Repository last updated: Oct 29, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent-skills Repository topic
claude-code Repository topic
claude-skills Repository topic
microsoft-fabric Repository topic
power-bi Repository topic
power-query Repository topic
semantic-model Repository topic
tmdl Repository topic
data Derived category

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files

CHANGELOG.mddoc · 3,945 bytes
README.mddoc · 17,898 bytes
SKILL.mdcore · 20,283 bytes
SKILL.mdcore · 20,283 bytes
SKILL.mdcore · 20,283 bytes
SKILL.mdcore · 20,283 bytes
SKILL.mdcore · 20,283 bytes
SKILL.mdcore · 20,283 bytes
SKILL.mdcore · 20,283 bytes
SKILL.mdcore · 20,283 bytes
references/commands.mddoc · 13,710 bytes
references/findings.mddoc · 3,657 bytes
references/report-pages.mddoc · 3,805 bytes
sma/__init__.pyruns · 1,547 bytes
sma/__main__.pyruns · 107 bytes
sma/ask.pyruns · 22,125 bytes
sma/cli.pyruns · 16,581 bytes
sma/compare.pyruns · 9,335 bytes
sma/dataset.pyruns · 27,286 bytes
sma/dax_format.pyruns · 5,328 bytes
sma/findings.pyruns · 10,297 bytes
sma/inputs.pyruns · 22,258 bytes
sma/readiness.pyruns · 13,027 bytes
sma/render/__init__.pyruns · 1,471 bytes
sma/render/app.pyruns · 15,979 bytes
sma/render/assets/dc-doc.jsruns · 21,197 bytes
sma/render/assets/dc-logo-white.svgasset · 17,940 bytes
sma/render/assets/dc-theme.cssasset · 48,822 bytes
sma/render/assets/dcv-chain.cssasset · 8,619 bytes
sma/render/assets/dcv-chain.jsruns · 22,624 bytes
sma/render/assets/dcv-graph.cssasset · 11,609 bytes
sma/render/assets/dcv-graph.jsruns · 47,857 bytes
sma/render/assets/dcv-tabular.cssasset · 8,237 bytes
sma/render/assets/dcv-tabular.jsruns · 9,315 bytes
sma/render/assets/sma-app.cssasset · 34,505 bytes
sma/render/assets/sma-app.jsruns · 41,584 bytes
sma/render/cards.pyruns · 205,282 bytes
sma/render/overview.pyruns · 17,390 bytes
sma/screen.pyruns · 4,152 bytes
sma/tmdl_findings.pyruns · 34,340 bytes
sma/vendor/__init__.pyruns · 316 bytes
sma/vendor/m_parser.pyruns · 200,223 bytes
sma/vendor/tmdl_parser.pyruns · 146,541 bytes

Read excerpt


# Semantic Model Analyzer

## Outcome
The user gets an answer about a Power BI semantic model that is grounded in its definition, with
every claim traced to a file and line, and, when they ask for one, a set of offline HTML pages
that present the model: a landing page with data and measure lineage, a page per segment, an AI
readiness checklist and a finder. The bundled engine (`sma`) parses TMDL and Power Query M as
text into one dataset; the rules, the `list` and `explain` answers, the comparison of two
versions and the HTML all read that dataset, so an answer never rests on something the files do
not say.

## Use when
- Someone wants a semantic model reviewed, audited or documented: "what needs fixing in this
  model", "document this model for the client".