Enforce dbt model naming, tests, and YAML documentation standards.
npx skills add https://github.com/acrulopez/dotfiles --skill dbt-acrulopez
Please help me install this Agent Skill. Skill: dbt Source: https://github.com/acrulopez/dotfiles/tree/main/.claude/skills/dbt Command: npx skills add https://github.com/acrulopez/dotfiles --skill dbt-acrulopez
dbt modeling projects often suffer from inconsistent conventions, making pipelines harder to maintain and audit. This Skill standardizes modeling practices around naming, tests, and YAML declarations to improve reliability and governance.
Enforce dbt modeling standards across a project and generate a compliant, well-documented model structure.
High-intent search queries and answers about installing and using this skill.
Enforce naming conventions in dbt models by standardizing model names, directory structures, and proper ref usage across analytics pipelines to ensure cleaner and more maintainable BigQuery environments. This standardization improves pipeline reliability and governance.
Add unique and not_null tests to dbt model primary keys by ensuring critical tests exist for key fields within your YAML configurations. This testing practice automates SQL quality checks and validates primary key integrity across your analytics pipelines.
Yes, this dbt modeling standardization applies directly to analytics pipelines in BigQuery environments. It enforces dbt-compatible configurations, proper ref usage, and YAML descriptions tailored for BigQuery data modeling workflows.
The best way to generate YAML descriptions for dbt models is by enforcing per-model YAML files with descriptions and proper doc blocks. This practice improves model discoverability and ensures each model includes dbt-compatible configurations.
dbt projects suffer from inconsistent modeling conventions when naming, tests, and YAML declarations are not standardized. This inconsistency makes analytics pipelines harder to maintain, audit, and govern over time without automated quality checks.
Standardize dbt folder structure and ref usage by applying consistent directory conventions and proper source referencing across all models. This ensures dbt syntax compliance and generates a well-documented, auditable model structure.
AubreyHanDiagnose and improve dbt pipelines for BigQuery projects.
clawdataGenerate schema YAML tests and custom checks for dbt models.
juandaniel190Answer natural language business questions by querying dbt data models.
davekim917Standardize dbt project structure, naming, tests, and documentation.
