# Querying Fabric

Query Microsoft Fabric and Power BI semantic models with DAX (and Fabric SQL endpoints...

- Repository: https://github.com/data-goblin/power-bi-agentic-development (1079 stars)
- Category: Design
- License: GPL-3.0
- Last updated: 2026-10-30
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add data-goblin/power-bi-agentic-development --skill querying-fabric -g -a claude-code -y`
Codex: `npx skills add data-goblin/power-bi-agentic-development --skill querying-fabric -g -a codex -y`
Cursor: `npx skills add data-goblin/power-bi-agentic-development --skill querying-fabric -g -a cursor -y`
Gemini CLI: `npx skills add data-goblin/power-bi-agentic-development --skill querying-fabric -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add data-goblin/power-bi-agentic-development`

## Description

Query Microsoft Fabric and Power BI semantic models with DAX (and Fabric SQL endpoints with T-SQL) to feed a Claude Dashboard or any dashboard built from a Fabric connector or MCP server. Use this skill whenever you build, extend or debug a dashboard, KPI card, chart or table on top of a semantic model, call a tool like run_dax_query, get_model_schema or list_models, or the user asks for numbers "from Fabric", "from the model" or "from Power BI", even if they never say DAX. Covers reusing the model's measures instead of writing new ones, KPI design with a target and a trend, crossfiltering between visuals, DAX query syntax and time intelligence, and an execute-inspect-fix test loop.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Querying Fabric for Claude Dashboards

A dashboard is only as trustworthy as its queries. The semantic model already holds the business's agreed
definitions of its metrics: the measures. A dashboard that reuses them shows the same numbers as every Power BI
report on that model; a dashboard that recomputes them shows numbers that look right and quietly disagree.
So the work here is mostly finding the right measures and slicing them well, not writing DAX formulas.

Three rules shape every dashboard this skill builds:

```yaml
reuse measures:  every number comes from an existing model measure; no new measure logic in the queries
kpi contract:    every KPI shows its value, a target, and a trend
crossfiltering:  selecting a mark in one visual filters every other visual
```

## Workflow

The rest: https://github.com/data-goblin/power-bi-agentic-development/blob/HEAD/plugins/dashboards/skills/querying-fabric/SKILL.md