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DataCraftersLab/craftys-fabric-skills

Crafty’s Fabric Skills are open-source Fabric and Power BI skills by Data Crafters, helping the community accelerate time to value in the age of AI. Built from our hands-on expertise in Microsoft Fabric, Power BI, planning, and AI, these practical resources are designed to simplify complex data challenges and turn insights into action.

Claude Code Data

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

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

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Verified commit c827dfb26119a88614e1cce6ea610210a43b0d3f

Version-pinned installation · Claude Code

git clone --filter=blob:none --no-checkout https://github.com/DataCraftersLab/craftys-fabric-skills.git .hotskills/datacrafterslab-craftys-fabric-skills && git -C .hotskills/datacrafterslab-craftys-fabric-skills checkout --detach c827dfb26119a88614e1cce6ea610210a43b0d3f
# Copy each selected skill directory from .hotskills/datacrafterslab-craftys-fabric-skills into .claude/skills/<skill-name>/

21GitHub stars

6stars in 7 days

1skill in this repository

16commits in 30 days

Heat

4.7

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Star growth, last 24 hoursNot available
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Commits, last 30 daysNot available
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Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

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Individual skills in this repository

semantic-model-analyzer plugins/semantic-model-analyzer/skills/semantic-model-analyzer

How it works

semantic-model-analyzer

When your agent uses it

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.

What it loads into context

Frontmatter

87 tokens

Always available to the agent

SKILL.md

5,086 tokens

When the skill is activated

Reference documents

10,589 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Outcome
Use when
Do not use when
Required inputs
What it uses
Rules
Workflow
Output contract
Claims an answer must not make
Known limits
Security and access
Approvals and escalation
Failure behavior
Example requests
References

Scripts executed separately

sma/__init__.py
sma/__main__.py
sma/ask.py
sma/cli.py
sma/compare.py
sma/dataset.py
sma/dax_format.py
sma/findings.py
sma/inputs.py
sma/readiness.py
sma/render/__init__.py
sma/render/app.py
sma/render/assets/dc-doc.js
sma/render/assets/dcv-chain.js
sma/render/assets/dcv-graph.js
sma/render/assets/dcv-tabular.js
sma/render/assets/sma-app.js
sma/render/cards.py
sma/render/overview.py
sma/screen.py
sma/tmdl_findings.py
sma/vendor/__init__.py
sma/vendor/m_parser.py
sma/vendor/tmdl_parser.py

Files

../../../../.claude-plugin/marketplace.jsonasset479 bytes
../../.claude-plugin/plugin.jsonasset359 bytes
CHANGELOG.mddoc3,945 bytes
README.mddoc17,898 bytes
SKILL.mdcore20,283 bytes
SKILL.mdcore20,283 bytes
SKILL.mdcore20,283 bytes
SKILL.mdcore20,283 bytes
SKILL.mdcore20,283 bytes
SKILL.mdcore20,283 bytes
SKILL.mdcore20,283 bytes
SKILL.mdcore20,283 bytes
references/commands.mddoc13,710 bytes
references/findings.mddoc3,657 bytes
references/report-pages.mddoc3,805 bytes
sma/__init__.pyruns1,547 bytes
sma/__main__.pyruns107 bytes
sma/ask.pyruns22,125 bytes
sma/cli.pyruns16,581 bytes
sma/compare.pyruns9,335 bytes
sma/dataset.pyruns27,286 bytes
sma/dax_format.pyruns5,328 bytes
sma/findings.pyruns10,297 bytes
sma/inputs.pyruns22,258 bytes
sma/readiness.pyruns13,027 bytes
sma/render/__init__.pyruns1,471 bytes
sma/render/app.pyruns15,979 bytes
sma/render/assets/dc-doc.jsruns21,197 bytes
sma/render/assets/dc-logo-white.svgasset17,940 bytes
sma/render/assets/dc-theme.cssasset48,822 bytes
sma/render/assets/dcv-chain.cssasset8,619 bytes
sma/render/assets/dcv-chain.jsruns22,624 bytes
sma/render/assets/dcv-graph.cssasset11,609 bytes
sma/render/assets/dcv-graph.jsruns47,857 bytes
sma/render/assets/dcv-tabular.cssasset8,237 bytes
sma/render/assets/dcv-tabular.jsruns9,315 bytes
sma/render/assets/sma-app.cssasset34,505 bytes
sma/render/assets/sma-app.jsruns41,584 bytes
sma/render/cards.pyruns205,282 bytes
sma/render/overview.pyruns17,390 bytes
sma/screen.pyruns4,152 bytes
sma/tmdl_findings.pyruns34,340 bytes
sma/vendor/__init__.pyruns316 bytes
sma/vendor/m_parser.pyruns200,223 bytes
sma/vendor/tmdl_parser.pyruns146,541 bytes

Read SKILL.md


# 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".

View the complete source on GitHub

Skills included

semantic-model-analyzer

Repository facts

License: Apache-2.0
Created: Oct 28, 2026
Last pushed: Oct 29, 2026
Forks: 1
Open issues: 0
Project activity: Active

Before you install

Local scripts

Automated signals, not a guarantee

Checked Nov 7, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 7 notes

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

No broad tool permissions
No dangerous shell commands
19 network referencesin 5 files: semantic-model-analyzer/sma/render/cards.py:3816 semantic-model-analyzer/sma/render/assets/sma-app.js:1099 semantic-model-analyzer/sma/render/assets/dc-logo-white.svg:1 and 2 more
1 obfuscation signalin 1 file: semantic-model-analyzer/sma/vendor/tmdl_parser.py:1655
No instruction overrides
24 executable scriptsin 24 files: semantic-model-analyzer/sma/__init__.py:1 semantic-model-analyzer/sma/__main__.py:1 semantic-model-analyzer/sma/ask.py:1 and 21 more
2 references to secretsin 1 file: semantic-model-analyzer/sma/screen.py:32
No requests to vote in Hot

Show all 46 signals by file

`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/init.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/main.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/ask.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/cli.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/compare.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/dataset.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/dax_format.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/findings.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/inputs.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/readiness.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/init.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/app.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dc-doc.js`

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var SVG = 'http://www.w3.org/2000/svg';
```

`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dc-logo-white.svg`

Network accessline 1

<?xml version="1.0" encoding="UTF-8"?> <svg id="Layer_1" xmlns="http://www.w3.org/2000/svg" version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 549.86 44.68">

Network accessline 2

<svg id="Layer_1" xmlns="http://www.w3.org/2000/svg" version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 549.86 44.68">

`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dcv-chain.js`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dcv-graph.js`

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function svgEl(tag, attrs) {     var el = document.createElementNS('http://www.w3.org/2000/svg', tag);

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var el = document.createElementNS('http://www.w3.org/2000/svg', tag);

`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dcv-tabular.js`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/sma-app.js`

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mount.style.width = W + 'px';     mount.style.height = H + 'px';     var NS = 'http://www.w3.org/2000/svg';

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mount.style.height = H + 'px';     var NS = 'http://www.w3.org/2000/svg';     var svg = D.createElementNS(NS, 'svg');

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```
var NS = 'http://www.w3.org/2000/svg';
```

`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/cards.py`

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Executable file
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REFERENCES = [     ("Data Crafters", "Microsoft data and AI consultancy", "https://datacrafters.io",

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("Data Crafters", "Microsoft data and AI consultancy", "https://datacrafters.io",

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"datacrafters.io"),     ("Data Crafters on LinkedIn", "Company page", "https://www.linkedin.com/company/datacraftersio",      "LinkedIn"),

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("Data Crafters on LinkedIn", "Company page", "https://www.linkedin.com/company/datacraftersio",

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"LinkedIn"),     ("Khaled Chowdhury", "Data Crafters", "https://www.linkedin.com/in/khaledchowdhury/",      "LinkedIn"),

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("Khaled Chowdhury", "Data Crafters", "https://www.linkedin.com/in/khaledchowdhury/",

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"LinkedIn"),     ("Fabric Data & AI Platform", "Knowledge hub for Microsoft Fabric, data and AI",      "https://fabricdataaiplatfrom.substack.com/", "Substack"),

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("Fabric Data & AI Platform", "Knowledge hub for Microsoft Fabric, data and AI",      "https://fabricdataaiplatfrom.substack.com/", "Substack"),     ("Nikola Ilic", "Data Mozart", "https://data-mozart.com/about/", "data-mozart.com"),

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"https://fabricdataaiplatfrom.substack.com/", "Substack"),

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("Nikola Ilic", "Data Mozart", "https://data-mozart.com/about/", "data-mozart.com"),

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("Microsoft Learn", "Power BI documentation", "https://learn.microsoft.com/power-bi/",

`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/overview.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/screen.py`

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[Credential-related source omitted]
```

`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/tmdl_findings.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/vendor/init.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/vendor/m_parser.py`

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`plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/vendor/tmdl_parser.py`

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Possible obfuscationline 1655
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if body.startswith("<U+FEFF>"):
```

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 8 facts

Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionsemantic-model-analyzer/sma/render/assets/dc-doc.js:5High confidence
Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionsemantic-model-analyzer/sma/render/assets/dcv-graph.js:46High confidence
Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionsemantic-model-analyzer/sma/render/assets/sma-app.js:1101High confidence
Contacts datacrafters.io, which SKILL.md, the README and the plugin manifest do not mentionsemantic-model-analyzer/sma/render/cards.py:3817High confidence
Contacts www.linkedin.com, which SKILL.md, the README and the plugin manifest do not mentionsemantic-model-analyzer/sma/render/cards.py:3819High confidence
Contacts fabricdataaiplatfrom.substack.com, which SKILL.md, the README and the plugin manifest do not mentionsemantic-model-analyzer/sma/render/cards.py:3824High confidence
Contacts data-mozart.com, which SKILL.md, the README and the plugin manifest do not mentionsemantic-model-analyzer/sma/render/cards.py:3825High confidence
Contacts learn.microsoft.com, which SKILL.md, the README and the plugin manifest do not mentionsemantic-model-analyzer/sma/render/cards.py:3826High confidence

Signal confidence: 44 facts

Executable script in prose of a file that runssemantic-model-analyzer/sma/__init__.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/__main__.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/ask.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/cli.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/compare.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/dataset.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/dax_format.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/findings.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/inputs.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/readiness.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/render/__init__.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/render/app.py:1Low confidence
Executable script in a comment of a file that runssemantic-model-analyzer/sma/render/assets/dc-doc.js:1Low confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/assets/dc-doc.js:5High confidence
Executable script in a comment of a file that runssemantic-model-analyzer/sma/render/assets/dcv-chain.js:1Low confidence
Executable script in a comment of a file that runssemantic-model-analyzer/sma/render/assets/dcv-graph.js:1Low confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/assets/dcv-graph.js:45High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/assets/dcv-graph.js:46High confidence
Executable script in a comment of a file that runssemantic-model-analyzer/sma/render/assets/dcv-tabular.js:1Low confidence
Executable script in a comment of a file that runssemantic-model-analyzer/sma/render/assets/sma-app.js:1Low confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/assets/sma-app.js:1099High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/assets/sma-app.js:1100High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/assets/sma-app.js:1101High confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/render/cards.py:1Low confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3816High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3817High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3818High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3819High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3820High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3821High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3822High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3823High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3824High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3825High confidence
Network access in code of a file that runssemantic-model-analyzer/sma/render/cards.py:3826High confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/render/overview.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/screen.py:1Low confidence
Access to secrets in code of a file that runssemantic-model-analyzer/sma/screen.py:32High confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuesemantic-model-analyzer/sma/screen.py:34Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/tmdl_findings.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/vendor/__init__.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/vendor/m_parser.py:1Low confidence
Executable script in prose of a file that runssemantic-model-analyzer/sma/vendor/tmdl_parser.py:1Low confidence
Possible obfuscation in code of a file that runssemantic-model-analyzer/sma/vendor/tmdl_parser.py:1655High confidence

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Native	Manifest .claude-plugin/marketplace.json	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md plugins/semantic-model-analyzer/skills/semantic-model-analyzer/SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

DataCraftersLab/craftys-fabric-skills

History

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

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

semantic-model-analyzer

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/__init__.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/__main__.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/ask.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/cli.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/compare.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/dataset.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/dax_format.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/findings.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/inputs.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/readiness.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/__init__.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/app.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dc-doc.js

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dc-logo-white.svg

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dcv-chain.js

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dcv-graph.js

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/dcv-tabular.js

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/assets/sma-app.js

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/cards.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/render/overview.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/screen.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/tmdl_findings.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/vendor/__init__.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/vendor/m_parser.py

plugins/semantic-model-analyzer/skills/semantic-model-analyzer/sma/vendor/tmdl_parser.py