Dbt Transformation Patterns
Skill Verifiziert AktivMaster 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.
Master dbt for analytics engineering by leveraging production-ready patterns for model organization, testing, documentation, and incremental strategies.
Funktionen
- Model organization using Medallion Architecture (staging, intermediate, marts)
- Standardized naming conventions for dbt models
- Patterns for source definitions, staging models, and intermediate/mart models
- Testing and documentation configurations using dbt's YAML schema
- Examples of dbt macros for DRY code and incremental strategies
Anwendungsfälle
- Building data transformation pipelines with dbt
- Organizing dbt models into logical layers
- Implementing robust data quality tests
- Creating efficient incremental dbt models
- Documenting data models and lineage
Nicht-Ziele
- Specific database syntax beyond standard SQL
- Deployment or orchestration of dbt jobs
- Advanced dbt Cloud features
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add wshobson/agents/plugin install data-engineering@claude-code-workflowsQualitätspunktzahl
VerifiziertVertrauenssignale
Ähnliche Erweiterungen
Senior Data Engineer
95Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
Data Engineer
94Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
OraClaw Forecast
100Zeitreihenprognose für KI-Agenten. ARIMA- und Holt-Winters-Vorhersagen mit Konfidenzintervallen. Prognostizieren Sie Umsatz, Traffic, Preise oder beliebige sequentielle Daten. Inferenz unter 5 ms.
Measure Dashboard Requirements
100Specifies requirements for an analytics dashboard including metrics, visualizations, filters, and data sources. Use when requesting dashboards from data teams, defining KPI tracking, or documenting reporting needs.
Meta Observer
100Track skill performance and emerging patterns
Market Movers
100When the user wants to track App Store chart rank changes, find top gainers and losers, detect breakout apps entering the top 100, or identify apps dropping out of charts. Also use when the user mentions "chart movers", "rank changes", "who's rising", "who's falling", "new chart entries", "top gainers", or "market shifts". For broader market overview, see market-pulse. For competitive keyword analysis, see competitor-analysis.