Individual skill
dbt-fusion-engine
Analytics engineering with dbt — models, tests, and modular SQL pipelines — use when building or maintaining dbt projects.
skills/dbt-fusion-engine/SKILL.md
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- Last checked
- Nov 8, 2026
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- Repository last updated
- Oct 10, 2026
- License
- MIT
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## Overview
dbt (data build tool) brings software-engineering discipline to SQL-based data
pipelines: versioned models, automated tests, documentation, and modular
transformations inside the warehouse. This skill covers project structure, model
layering, testing strategy, and the operational habits of a healthy dbt project.
## When to use
- Structuring a new dbt project (staging, intermediate, marts layers)
- Writing models with refs, sources, seeds, and snapshots
- Adding data tests (unique, not_null, relationships, custom singular tests)
- Debugging slow runs, model failures, or test failures in CI
- Setting up dbt docs, exposures, and deployment (dbt Cloud / self-hosted runs)