Official agent skill

Powerbi Modeling

by github in github/awesome-copilot

Power BI semantic modeling assistant for building optimized data models.

OfficialMITAuto-check passedData & Analytics

Install Powerbi Modeling

skills CLI
$ npx skills add github/awesome-copilot --skill powerbi-modeling -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot powerbi-modeling --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/powerbi-modeling .claude/skills/powerbi-modeling && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
powerbi-modeling
GitHub stars
40k
Used in
1 other repo
Token cost
~1.5k tokens
SKILL.md length
434 words
Files
6 (incl. references)
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Power BI semantic modeling assistant for building optimized data models.

  • Works in 3 steps: Connect and Analyze First → Evaluate Model Health → Provide Targeted Guidance
  • Working with Power BI semantic models
  • SKILL.md covers When to Use This Skill, Prerequisites, Workflow and Quick Reference: Model Quality…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Powerbi Modeling is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using…

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/MEASURES-DAX.md`, `references/PERFORMANCE.md` and `references/RELATIONSHIPS.md`).

It sits in Data & Analytics, covering Data warehousing and MCP servers. It works with Power BI and Model Context Protocol. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Working with Power BI semantic models
  • Creating measures
  • Designing star schemas
  • Configuring relationships

Example prompts

  • “/powerbi-modeling”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Connect and Analyze First
  2. Evaluate Model Health
  3. Provide Targeted Guidance

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Powerbi Modeling loads about 1.5k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 154 tokens; SKILL.md has 434 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~154
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 434 words, ~1,495 tokens.

Download SKILL.mdSave it as .claude/skills/powerbi-modeling/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
powerbi-modeling
description
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.

Power BI Semantic Modeling

Guide users in building optimized, well-documented Power BI semantic models following Microsoft best practices.

When to Use This Skill

Use this skill when users ask about:

  • Creating or optimizing Power BI semantic models
  • Designing star schemas (dimension/fact tables)
  • Writing DAX measures or calculated columns
  • Configuring table relationships (cardinality, cross-filter)
  • Implementing row-level security (RLS)
  • Naming conventions for tables, columns, measures
  • Adding descriptions and documentation to models
  • Performance tuning and optimization
  • Calculation groups and field parameters
  • Model validation and best practice checks

Trigger phrases: "create a measure", "add relationship", "star schema", "optimize model", "DAX formula", "RLS", "naming convention", "model documentation", "cardinality", "cross-filter"

Prerequisites

Required Tools
  • Power BI Modeling MCP Server: Required for connecting to and modifying semantic models
    • Enables: connection_operations, table_operations, measure_operations, relationship_operations, etc.
    • Must be configured and running to interact with models
Optional Dependencies
  • Microsoft Learn MCP Server: Recommended for researching latest best practices
    • Enables: microsoft_docs_search, microsoft_docs_fetch
    • Use for complex scenarios, new features, and official documentation

Workflow

1. Connect and Analyze First

Before providing any modeling guidance, always examine the current model state:

1. List connections: connection_operations(operation: "ListConnections")
2. If no connection, check for local instances: connection_operations(operation: "ListLocalInstances")
3. Connect to the model (Desktop or Fabric)
4. Get model overview: model_operations(operation: "Get")
5. List tables: table_operations(operation: "List")
6. List relationships: relationship_operations(operation: "List")
7. List measures: measure_operations(operation: "List")
2. Evaluate Model Health

After connecting, assess the model against best practices:

  • Star Schema: Are tables properly classified as dimension or fact?
  • Relationships: Correct cardinality? Minimal bidirectional filters?
  • Naming: Human-readable, consistent naming conventions?
  • Documentation: Do tables, columns, measures have descriptions?
  • Measures: Explicit measures for key calculations?
  • Hidden Fields: Are technical columns hidden from report view?
3. Provide Targeted Guidance

Based on analysis, guide improvements using references:

Show full SKILL.md (169 more words)Show less

Quick Reference: Model Quality Checklist

AreaBest Practice
TablesClear dimension vs fact classification
NamingHuman-readable: Customer Name not CUST_NM
DescriptionsAll tables, columns, measures documented
MeasuresExplicit DAX measures for business metrics
RelationshipsOne-to-many from dimension to fact
Cross-filterSingle direction unless specifically needed
Hidden fieldsHide technical keys, IDs from report view
Date tableDedicated marked date table

MCP Tools Reference

Use these Power BI Modeling MCP operations:

Operation CategoryKey Operations
connection_operationsConnect, ListConnections, ListLocalInstances, ConnectFabric
model_operationsGet, GetStats, ExportTMDL
table_operationsList, Get, Create, Update, GetSchema
column_operationsList, Get, Create, Update (descriptions, hidden, format)
measure_operationsList, Get, Create, Update, Move
relationship_operationsList, Get, Create, Update, Activate, Deactivate
dax_query_operationsExecute, Validate
calculation_group_operationsList, Create, Update
security_role_operationsList, Create, Update, GetEffectivePermissions

Common Tasks

Add Measure with Description
measure_operations(
  operation: "Create",
  definitions: [{
    name: "Total Sales",
    tableName: "Sales",
    expression: "SUM(Sales[Amount])",
    formatString: "$#,##0",
    description: "Sum of all sales amounts"
  }]
)
Update Column Description
column_operations(
  operation: "Update",
  definitions: [{
    tableName: "Customer",
    name: "CustomerKey",
    description: "Unique identifier for customer dimension",
    isHidden: true
  }]
)
Create Relationship
relationship_operations(
  operation: "Create",
  definitions: [{
    fromTable: "Sales",
    fromColumn: "CustomerKey",
    toTable: "Customer",
    toColumn: "CustomerKey",
    crossFilteringBehavior: "OneDirection"
  }]
)

When to Use Microsoft Learn MCP

Research current best practices using microsoft_docs_search for:

  • Latest DAX function documentation
  • New Power BI features and capabilities
  • Complex modeling scenarios (SCD Type 2, many-to-many)
  • Performance optimization techniques
  • Security implementation patterns

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/powerbi-modeling of github/awesome-copilot.

  • SKILL.md
  • references/MEASURES-DAX.md
  • references/PERFORMANCE.md
  • references/RELATIONSHIPS.md
  • references/RLS.md
  • references/STAR-SCHEMA.md

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Powerbi Modeling next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Powerbi Modeling compared with similar skills
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Powerbi Modeling this skillgithub/awesome-copilot40k1 repos~1.5kAutomated safety check: PassMIT
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Semantic Analystsidequery/sidemantic129—~982Automated safety check: PassAGPL-3.0
Moraine Sandbox QAeric-tramel/moraine117—~668Automated safety check: PassApache-2.0

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Questions about Powerbi Modeling

What does Powerbi Modeling do?

Power BI semantic modeling assistant for building optimized data models. Powerbi Modeling is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Power BI semantic modeling assistant for building optimized data models.

When should I use Powerbi Modeling?

Powerbi Modeling fits situations like: working with Power BI semantic models; creating measures; designing star schemas; configuring relationships.

How do I install Powerbi Modeling in Claude Code?

Run `npx skills add github/awesome-copilot --skill powerbi-modeling -a claude-code`. Or copy the skill folder (skills/powerbi-modeling in github/awesome-copilot) into .claude/skills/powerbi-modeling in your project. Claude Code loads it when a task matches its description.

How do I install Powerbi Modeling in Codex?

Run `npx skills add github/awesome-copilot --skill powerbi-modeling -a codex`. Or copy the skill folder (skills/powerbi-modeling in github/awesome-copilot) into .agents/skills/powerbi-modeling in your project. Codex loads it when a task matches its description.

Can I use Powerbi Modeling in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill powerbi-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/powerbi-modeling, .gemini/skills/powerbi-modeling, .github/skills/powerbi-modeling and .opencode/skills/powerbi-modeling in your project.

What does Powerbi Modeling need to run?

SKILL.md names no scripts, command-line tools or credentials: Powerbi Modeling is instructions for the agent only.

Does Powerbi Modeling access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Powerbi Modeling safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Powerbi Modeling use?

Powerbi Modeling is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Powerbi Modeling use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.

What are the alternatives to Powerbi Modeling?

Skills that share tags, products or a category with Powerbi Modeling: Powerbi MCP (Kilo-Org/kilo-marketplace, 189 stars), Pytorch Clickhouse (pytorch/test-infra, 113 stars), Erd Studio Setup (liam-machine/erd-studio, 165 stars) and Semantic Analyst (sidequery/sidemantic, 129 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Powerbi Modeling?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.