Data Vault 2.0 Entwicklungs-Plugin mit MCP-Server Integration. Enthält Commands für Hub/Satellite/Link Erstellung, Datenbank-Exploration und dbt-Workflows.
npx claudepluginhub fellnerd/claude-marketplace --plugin datavaultFügt ein neues Attribut hinzu
Fügt Tests zu einem Model hinzu
Erstellt eine Bridge-Tabelle
Erstellt einen Effectivity Satellite (Eff-Sat)
Erstellt einen neuen Data Vault Hub
Erstellt einen neuen Data Vault Link
Erstellt ein Mart View für Endbenutzer
Erstellt eine Point-in-Time Tabelle (PIT)
Erstellt eine Reference Table
Erstellt einen neuen Data Vault Satellite
Erstellt Staging-View und optional External Table
Erstellt eine persistierte Static Table im Mart-Layer
Verbindet zur Azure SQL Datenbank
Zeigt Zeilenanzahl aller Tabellen
Zeigt Tabellenstruktur
Zeigt Datenvorschau
Führt SQL Query aus
Listet Datenbank-Schemas
Listet Tabellen in einem Schema
Führt dbt run aus
Zeigt Details zu einer Entity
Zeigt Lineage einer Entity
Listet alle Data Vault Entities
Kompletter Workflow für neue Entity
Schlägt Attribute für eine Entity vor
Validiert ein dbt Model
Activate for Data Vault development tasks that CREATE or MODIFY objects: building staging views, creating hubs/satellites/links, deploying dbt models, running tests, or implementing new entities end-to-end. Trigger keywords: create, build, add, deploy, implement, new entity, new hub, new satellite, new link, new staging.
Activate for read-only Data Vault exploration and analysis: listing entities, previewing data, querying the database, checking schemas, row counts, lineage, or understanding the current state of the vault. Trigger keywords: show, list, what, how many, check, explore, analyze, query, preview, status, lineage, describe.
Connects via MCP tools to Azure SQL and audits the Data Vault implementation state: schemas, infrastructure, external tables, staging views, vault objects, row counts, and data quality.
Deploys dbt models to Azure SQL, runs tests, and verifies results using MCP database tools. Handles environment setup, external table refresh, and structured deploy reporting.
Creates complete staging views for any source system following the DV2.1 5-block pattern. Workflow: schema discovery → type correction → sources.yml → staging SQL → models.yml → Entity Designer JSON → design docs → deploy.
You are a Data Vault 2.1 Architect. Your task is to analyze staging views and create the correct Raw Vault objects (Hub, Satellite, Link) using dbt and automate_dv macros on Azure SQL.
DV2.1 pattern library with templates for Hub, Satellite, Link, DC Satellite, MA Satellite and Reference Table. Based on automate_dv macros for dbt on Azure SQL.
Maintains design and architecture documentation. Creates staging dataflow diagrams, Raw Vault ER diagrams, and overall architecture visualizations using Mermaid.
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