Sequence six foundational skills to scaffold a complete dbt analytics project.
npx skills add https://github.com/nrakow/ae-skills-dev --skill new-project-setup
Please help me install this Agent Skill. Skill: new-project-setup Source: https://github.com/nrakow/ae-skills-dev/tree/main/skills/new-project-setup Command: npx skills add https://github.com/nrakow/ae-skills-dev --skill new-project-setup
Starting a new analytics project from zero is error-prone and time-consuming, with inconsistent starter configurations and fragmented tooling. This skill provides a guided, end-to-end workflow that sets up a production-ready dbt project, captures stack context, enforces styling standards, outlines an initial data model plan, defines a testing strategy, and scaffolds CI/CD. It ensures alignment across the team and accelerates delivery by sequencing six foundational skills in a repeatable pattern.
Invoke this workflow at project inception to generate a complete dbt project skeleton and starter configurations.
High-intent search queries and answers about installing and using this skill.
To set up a dbt project from scratch, this workflow sequences six foundational skills to scaffold the project structure, capture stack context, enforce SQL style, plan data models, define testing, and configure CI/CD for production readiness.
A production-ready analytics project bootstrap includes a complete dbt project structure, environment context, style guide, initial data model plan, testing approach, and CI/CD configuration.
Yes, the context-aware starter adapts to your warehouse, toolchain, and team maturity to produce a consistent project skeleton tailored to your specific stack.
Yes, you can use this workflow to rebuild an existing dbt project from scratch by applying its repeatable pattern to rebalance and standardize your foundational configurations.
The best way to establish testing and CI/CD for analytics engineering is to use an end-to-end phase sequencing workflow that defines a testing approach and scaffolds CI/CD alongside data models.
Stream-claimsQuery Redshift staging and raw tables, debug dbt models, and troubleshoot ETL pipelines.
levanminhducGuide containerization of applications with Dockerfiles, Compose, and CI/CD pipelines.
davekim917Standardize dbt project structure, naming, tests, and documentation.
dain-agencyScaffold complete buildable software repositories from Forge configuration files.
