building-dbt-semantic-layer
From the author
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
Install
npx skills add dbt-labs/dbt-agent-skills --skill building-dbt-semantic-layer -a claude-code
Installs to .claude/skills/building-dbt-semantic-layer/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 92
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- data-modelingcbrock84/headcountDesigns the warehouse and semantic layer — source-to-mart structure, dimensional modeling, grain, slowly changing dimensions, and the metric layer analytics reads through. Use this to design or restructure a warehouse, model a new source, decide on grain or table structure, build a semantic or metric layer, or diagnose why queries are slow, wrong, or impossible to write.Data★ 2.1K
- transformhashgraph-online/awesome-codex-pluginsUse this to author and change a dbt project or a semantic layer: bootstrap a project (`transform init`), write or refactor models from staging to marts, add tests and docs, and define semantic models, entities, dimensions, and metrics in MetricFlow, Apache Ossie or SLayer YAML. Reach for it instead of editing model files by hand whenever a change spans more than one file or must stay consistent with the project: it validates the edit against the real schema, returns a reviewable diff with a plan id, and catches what otherwise fails at `dbt run`, such as wrong columns or broken refs. Bug-fix tickets count: "this model returns wrong numbers, fix it" is a transform task. Also for "build a staging model for this table", "define a revenue metric", "add a dimension to this entity". Warehouse builds are dev-target only, gated, and cost-surfaced first. If you have not verified the source tables' columns or grain, use explore first. For a project that drifted from the warehouse, use maintain.Testing★ 1.4K
- dbt-transformation-patternswshobson/agentsMaster dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.Data★ 41.6K
- answering-natural-language-questions-with-dbtdbt-labs/dbt-agent-skillsWrites and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.OfficialData★ 746
- analytics-engineerborghei/Claude-SkillsAnalytics engineering across data modeling, dbt, transformation, and semantic layers. Use when building dbt models, designing star schemas, writing staging or mart SQL, configuring data tests, or optimizing warehouse queries.Data★ 969
- dbt-model-specmohitagw15856/pm-claude-skillsSpec a dbt model — its grain, sources, transformations, tests, and materialization. Use when asked to design a dbt model, plan a data transformation, write a staging/intermediate/mart model spec, or define dbt tests for a table. Produces a model spec — purpose & grain, lineage (sources → refs), the transformation logic, column definitions, dbt tests, materialization choice, and the skeleton SQL/YAML.Data★ 1.5K
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in