Individual skill
metric-semantic-layer
Define a metric in a semantic layer so it means one thing everywhere. Use when asked to define a metric, build a semantic layer / metrics layer entry, stop 'revenue means three things' problems, or write a metric definition for dbt MetricFlow / Cube / LookML. Produces a metric definition — exact formula, the base measure & aggregation, dimensions, filters, grain, edge cases, and a tool-ready spec.
skills/metric-semantic-layer/SKILL.md
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- Last checked
- Nov 9, 2026
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- License
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# Metric Semantic Layer Skill
"Active users" means three different things in three dashboards — that's the problem a semantic layer
solves: define each metric **once**, precisely, and every tool reads the same definition. This skill
writes that definition — the exact formula, base measure, allowed dimensions, default filters, and the
edge cases that usually cause drift — in a tool-ready form (dbt MetricFlow / Cube / LookML).
## Required Inputs
Ask for these only if they aren't already provided:
- **The metric** — its name and the business question it answers.
- **The base data** — the model/table and the column(s) it's computed from.
- **The aggregation** — sum, count, count distinct, average, ratio.