semantic-layer-and-metric-governance
From the author
Guides agents through semantic layer and shared metric design. Use when defining business metrics, reusable dimensions, governed metric contracts, or shared semantic models consumed by dashboards, analytics tools, or other teams.
Install
npx skills add vaquarkhan/data-engineering-agent-skills --skill semantic-layer-and-metric-governance -a claude-code
Installs to .claude/skills/semantic-layer-and-metric-governance/ · 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 78
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
- superset-and-metrics-servingvaquarkhan/data-engineering-agent-skillsGuides agents through Superset and metrics-serving workflows. Use when publishing governed metrics to Superset, defining semantic consistency for dashboards, or managing chart-ready analytical datasets.Other★ 59
- business-intelligencecbrock84/headcountBuilds reporting and self-serve analytics that people actually use — metric trees, dashboard design, distribution, and the discipline that stops dashboards proliferating. Use this to build a dashboard or report, design a metrics framework, set up self-serve analytics, decide what to measure, or diagnose why reporting exists but nobody uses it or trusts it.Data★ 2.1K
- building-dbt-semantic-layerdbt-labs/dbt-agent-skillsUse 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.OfficialData★ 746
- data-mesh-and-domain-oriented-designvaquarkhan/data-engineering-agent-skillsGuides agents through domain-oriented data product and data mesh design. Use when organizing ownership, domain boundaries, federated governance, and shared platform responsibilities across multiple teams.Design★ 59
- product-analytics-and-measurementmagnus919/agent-skillsDefine observable, governed evidence for product outcomes through metric trees, event/tracking plans, instrumentation QA, and measurement governance. Use when defining product metrics, designing tracking plans, building event taxonomies, running product funnels or cohort analysis, setting up dashboard contracts, or auditing instrumentation quality. Do NOT use for statistical inference or experiment design (route to data-scientist), data pipeline implementation (route to data-engineering), data architecture decisions (route to data-architect), observability or infrastructure monitoring (route to site-reliability-engineering), or general business intelligence and dashboard building (route to BI tooling).Data★ 147
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in