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dbt-model-generator

dbt-model-generator

Generate dbt model generator operations. Auto-activating skill for Data Pipelines. Triggers on: dbt model generator, dbt model generator Part of the Data Pipelines skill category. Use when working with dbt model generator functionality. Trigger with phrases like "dbt model generator", "dbt generator", "dbt".

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentación de la Skill

GitHub

name: dbt-model-generator description: 'Generate dbt model generator operations. Auto-activating skill for Data Pipelines.

Triggers on: dbt model generator, dbt model generator

Part of the Data Pipelines skill category. Use when working with dbt model generator functionality. Trigger with phrases like "dbt model generator", "dbt generator", "dbt".

' allowed-tools: Read, Write, Edit, Bash(cmd:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • data
  • data-engineering compatibility: Designed for Claude Code

Dbt Model Generator

Overview

This skill provides automated assistance for dbt model generator tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

  • Mention "dbt model generator" in your request
  • Ask about dbt model generator patterns or best practices
  • Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.

Instructions

  1. Provides step-by-step guidance for dbt model generator
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with dbt model generator" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of data pipelines concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering

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