dbt-snowflake

Automate Snowflake connection verification, dbt Cloud run analysis, and dbt artifacts exploration.

2|1|Updated Aug 23, 2025
One-click install
npx skills add https://github.com/neozenith/agentic-dotfiles --skill dbt-snowflake
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dbt-snowflake
Source: https://github.com/neozenith/agentic-dotfiles/tree/main/skills/dbt-snowflake
Command: npx skills add https://github.com/neozenith/agentic-dotfiles --skill dbt-snowflake

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dbt, snowflake-connector-python, networkx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides expert guidance and automation for Snowflake connectivity and dbt Cloud, enabling efficient data exploration, dbt Cloud run status checking, and dbt artifacts exploration.

Core Features & Use Cases

  • Snowflake Connectivity: Automate Snowflake connection tests, explore schemas and tables, and profile table data.
  • dbt Cloud Run Status: Inspect dbt Cloud CI/CD run results, step logs, and artifacts.
  • dbt Artifacts Exploration: Efficiently explore dbt artifacts with graph-based traversal for model lineage, dependencies, and metadata.
  • Use Case: When working on a dbt project in Snowflake, use this Skill to connect to your Snowflake instance, run dbt Cloud jobs, and explore your dbt models and artifacts.

Quick Start

Use the dbt-snowflake skill to explore dbt models in your project:

dbt-snowflake explore models

Frequently Asked Questions about dbt-snowflake

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify Snowflake connectivity and explore schemas for a dbt project?

To verify Snowflake connectivity, you can automate connection tests to explore schemas, tables, and profile table data directly within your dbt project environment.

How do I check dbt Cloud CI/CD run status and inspect step logs?

You can check dbt Cloud CI/CD run status by inspecting run results, step logs, and artifacts to monitor your continuous integration and deployment workflows.

How does graph-based traversal work for dbt model lineage exploration?

Graph-based traversal explores dbt model lineage by using NetworkX to navigate dependencies and metadata, enabling efficient analysis of your dbt artifacts.

Do I need the Snowflake Python connector and NetworkX to explore dbt artifacts?

Yes, exploring dbt artifacts requires the Snowflake Python connector for database connectivity and NetworkX to perform graph-based traversal of model dependencies.

What is the best way to manage dbt project workflows in Snowflake?

The best way to manage dbt project workflows in Snowflake is to automate connection verification, analyze dbt Cloud runs, and explore artifacts for model lineage and metadata.