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/dax

DAX performance optimization for semantic models. Automatically invoke when the user asks to "optimize DAX", "fix slow DAX", "DAX performance", "tune a measure", "debug a measure", "DAX anti-patterns", or mentions slow queries, server timings, or DAX authoring.

From plugin
power-bi-agentic-development
84232 skills8 agents2 commands3 MCP
Install
$ npx -y skills add data-goblin/power-bi-agentic-development --skill dax --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/dax

Context preview

The summary Claude sees to decide when to auto-load this skill.

DAX performance optimization for semantic models. Automatically invoke when the user asks to "optimize DAX", "fix slow DAX", "DAX performance", "tune a measure", "debug a measure", "DAX anti-patterns", or mentions slow queries, server timings, or DAX authoring.

SKILL.md

dax.SKILL.md
name: dax
description: DAX performance optimization for semantic models. Automatically invoke when the user asks to "optimize DAX", "fix slow DAX", "DAX performance", "tune a measure", "debug a measure", "DAX anti-patterns", or mentions slow queries, server timings, or DAX authoring.

DAX

Skills and references for writing, debugging, and optimizing DAX in semantic models.

Optimization

For systematic DAX query performance optimization, read the workflow reference first:

**[`references/dax-performance-optimization.md`](./references/dax-performance-optimization.md)** — Tiered framework (4 tiers), phased workflow, decision guide, and error handling.

Detailed reference files (progressive disclosure — consult as directed by the workflow):

  • **[`references/engine-internals.md`](./references/engine-internals.md)** — FE/SE architecture, xmSQL, compression/segments, SE fusion, trace diagnostics
  • **[`references/dax-patterns.md`](./references/dax-patterns.md)** — Tier 1 DAX patterns (DAX001–DAX021) + Tier 2 query structure (QRY001–QRY004)
  • **[`references/model-optimization.md`](./references/model-optimization.md)** — Tier 3 model patterns (MDL001–MDL009) + Tier 4 Direct Lake (DL001–DL002)

Trace capture and performance profiling:

  • **Local models (Power BI Desktop):** Use the Tabular Editor CLI `te query` (see the [`te-cli` skill](../../../tabular-editor/skills/te-cli/)) first; as an alternative, the [`connect-pbid` skill](../../../pbi-desktop/skills/connect-pbid/) covers FE/SE timing (`performance-profiling.md`) and intermediate result inspection (`evaluateandlog-debugging.md`).
  • **Remote models (Fabric Service / XMLA):** Run DAX with the Tabular Editor CLI `te query` (`-s <workspace> -d <model>`) against the workspace XMLA endpoint; see the [`te-cli` skill](../../../tabular-editor/skills/te-cli/) (tabular-editor plugin).
  • **Power BI Modeling MCP:** also available for trace and query if you prefer an MCP tool; reach for it after the options above.

Related Skills

  • [`semantic-model`](../semantic-model/) — Model design, build, and auditing including DAX anti-patterns and best practices
  • [`connect-pbid` (pbi-desktop plugin)](../../../pbi-desktop/skills/connect-pbid/) — Trace capture, performance profiling, EVALUATEANDLOG debugging
  • [`lineage-analysis`](../lineage-analysis/) — Impact analysis before model changes
Read more
Ships withpower-bi-agentic-development

Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI skills, subagents, and hooks for semantic models, DAX, TMDL, reports, and AI dashboards. Includes Microsoft Fabric skills and Fabric agents. Weekly updates.

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