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.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add thedixitjain/the-mega-skill-library --skill dax --agent claude-codeInstalls into .claude/skills of the current project.
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---
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."
category: engineering-core
source_repo: data-goblin/power-bi-agentic-development
source_path: "plugins/semantic-models/skills/dax/SKILL.md"
source_url: https://github.com/data-goblin/power-bi-agentic-development/blob/HEAD/plugins/semantic-models/skills/dax/SKILL.md
---
# 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
---
**Source:** [`data-goblin/power-bi-agentic-development`](https://github.com/data-goblin/power-bi-agentic-development) → `plugins/semantic-models/skills/dax/SKILL.md`
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