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Power Bi Docs

  • 46 installs
  • 6 repo stars
  • Updated July 22, 2026
  • julianobarbosa/claude-code-skills

Helps with ai & agent building tasks.

About

power-bi-docs is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • power-bi-docs
  • AI & Agent Building
  • AI-coding skill

Power Bi Docs by the numbers

  • 46 all-time installs (skills.sh)
  • +1 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #7,629 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
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Installs46
repo stars6
Last updatedJuly 22, 2026
Repositoryjulianobarbosa/claude-code-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Power BI Documentation Skill

Generate comprehensive documentation for Power BI semantic models.

Prerequisites

pipx install pbi-cli-tool
pbi-cli skills install
pbi connect

Quick Model Overview

pbi --json model get       # Model metadata
pbi --json model stats     # Table/measure/column counts

Catalog All Objects

# Tables and their structure
pbi --json table list
pbi --json table get Sales
pbi --json table schema Sales

# All measures
pbi --json measure list

# Individual measure details
pbi --json measure get "Total Revenue" --table Sales

# Columns per table
pbi --json column list --table Sales
pbi --json column list --table Products

# Relationships
pbi --json relationship list

# Security roles
pbi --json security-role list

# Hierarchies
pbi --json hierarchy list --table Date

# Calculation groups
pbi --json calc-group list

# Perspectives
pbi --json perspective list

# Named expressions (M queries)
pbi --json expression list

# Partitions
pbi --json partition list --table Sales

# Calendar/date tables
pbi --json calendar list

Export Full Model as TMDL

pbi database export-tmdl ./model-docs/

This creates a human-readable text representation of the entire model.

Workflow: Generate Model Documentation

Run these commands to gather all information needed for documentation:

# Step 1: Model overview
pbi --json model get > model-meta.json
pbi --json model stats > model-stats.json

# Step 2: All tables
pbi --json table list > tables.json

# Step 3: All measures
pbi --json measure list > measures.json

# Step 4: All relationships
pbi --json relationship list > relationships.json

# Step 5: Security roles
pbi --json security-role list > security-roles.json

# Step 6: Column details per table (loop through tables)
pbi --json column list --table Sales > columns-sales.json
pbi --json column list --table Products > columns-products.json

# Step 7: Full TMDL export
pbi database export-tmdl ./tmdl-export/

Then assemble these JSON files into markdown or HTML documentation.

Workflow: Data Dictionary

For each table, extract columns and their types:

# Get schema for key tables
pbi --json table schema Sales
pbi --json table schema Products
pbi --json table schema Calendar

Workflow: Measure Catalog

Create a complete measure inventory:

# List all measures with expressions
pbi --json measure list

# Export full model as TMDL (includes all measure definitions)
pbi database export-tmdl ./tmdl-export/

Culture Management

For multi-language models:

# List cultures (locales)
pbi --json advanced culture list

# Create a culture for localization
pbi advanced culture create "fr-FR"

# Delete a culture
pbi advanced culture delete "fr-FR"

Best Practices

  • Always use --json flag for machine-readable output
  • Export TMDL alongside JSON for complete documentation
  • Run documentation generation as part of CI/CD pipeline
  • Keep documentation in version control alongside TMDL exports
  • Include relationship diagrams (generate from pbi --json relationship list)
  • Document measure business logic, not just DAX expressions
  • Tag measures by business domain using display folders

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Gotchas

  • `measure list` returns DAX expressions but not display formatting: Format strings, display folders, and descriptions live on separate properties. To capture a complete measure inventory always pair --json measure list with a TMDL export — the JSON view alone misses metadata that authors care about.
  • `table schema` ignores calculated columns at the schema level: They show up in column list but table schema reports only the storage-engine schema. Documenting a model from schema alone makes calculated columns invisible.
  • `relationship list` does not report inactive relationships' purpose: isActive: false shows up but the reason (USERELATIONSHIP usage, role-playing dimension) lives in the measures that reference them. Grep USERELATIONSHIP across the TMDL export to find the consumers.
  • Snapshotting `--json` outputs to files captures connection-time state: If someone edits the model between commands, your "documentation" mixes pre- and post-edit state. Wrap multi-command catalog runs in a single pbi transaction begin or do them after pbi disconnect / connect on a known model.
  • `advanced culture list` shows cultures, not which strings are translated: A culture row in the list does not mean every label has a translation. Diff the per-culture string tables in the TMDL export to find gaps.
  • `expression list` includes both shared parameters and full M queries: Both render as named expressions in the output. A parameter is just a single-line literal expression — easy to misclassify when generating a "data sources" section of docs.

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