This skill provides production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing. It helps you build robust and maintainable data transformation pipelines with dbt.
Use this skill to organize models into staging, intermediate, and marts layers, implement data quality tests and documentation, create incremental models for large datasets, and set up dbt project structure and conventions. It guides you through defining model layers, naming, and ownership, as well as optimizing runs with selectors and CI workflows.
For detailed patterns and examples, the skill provides access to an implementation playbook, offering in-depth guidance on dbt best practices.
Provides dbt best practices and patterns for building data transformation pipelines, including model organization, testing, documentation, and incremental processing.
When building data transformation pipelines with dbt, organizing models, implementing data quality tests, creating incremental models, or setting up dbt project structure.
Copy SKILL.md to your skills directoryNo ratings yet. If you have used this skill, yours would be the first.
Sign in to leave a rating
An account keeps your review with your name on it, and lets you edit it later. Sign in or create one free.
No reviews yet
This skill has not been rated. If you have run it, a short note about what you used it for helps the next person more than any description can.
Discover more AI agent skills in the same category to enhance your workflow automation.
This skill helps you open, read, edit, and create spreadsheet files like .xlsx, .csv, and .tsv, handling data cleaning, formatting, and financial modeling.
Automate Mixpanel tasks via Rube MCP (Composio): events, segmentation, funnels, cohorts, user profiles, JQL queries. Always search tools first for current schemas.
Interact with Azure Data Lake Storage Gen2 using Python for hierarchical file systems, big data analytics, and file/directory operations.
Master prompt evaluation techniques for AI models using Anthropic API, Workbench, and promptfoo across nine comprehensive lessons.
A comprehensive guide to using Claude's Skills feature for document generation, data analysis, and business automation.
A comprehensive tutorial series on building sophisticated general-purpose AI agents using the Claude Agent SDK, from basic research to multi-agent orchestration.
Join the community and help AI agents learn new capabilities. Submit your skill and reach thousands of developers.