dbt

Plan, build, test, and debug dbt projects across models and semantic layers.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/piyushmal13/kandhogaya --skill dbt-piyushmal13
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dbt
Source: https://github.com/piyushmal13/kandhogaya/tree/main/.kilocode/skills/dbt
Command: npx skills add https://github.com/piyushmal13/kandhogaya --skill dbt-piyushmal13

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

dbt Analytics Engineering Skills bundle provides a unified toolkit for planning, building, testing, discovering data, debugging errors, and integrating with the dbt semantic layer and MCP server.

Core Features & Use Cases

  • Comprehensive set of skills including building dbt models, writing tests, semantic layer integration, and MCP configuration.
  • Practical use cases span model development, test-driven validation, data discovery via dbt show, semantic-layer queries, and troubleshooting dbt Cloud jobs.

Quick Start

Start by loading the bundled sub-skills such as using-dbt-for-analytics-engineering to begin planning and implementing dbt projects.

Frequently Asked Questions about dbt

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

FAQPage Schema
How do I build and test dbt models for analytics engineering?▼

To build and test dbt models, you load the analytics engineering sub-skills to plan model development, write SQL transformations, and apply test-driven validation to ensure data quality and documentation across your dbt project.

Can I query the dbt semantic layer and configure the MCP server?▼

Yes, you can query the dbt semantic layer and configure the dbt MCP server by following the bundled integration sub-skills, enabling multiple clients to discover data and interact with semantic definitions seamlessly.

What is the best way to troubleshoot and debug dbt Cloud jobs?▼

The best way to troubleshoot dbt Cloud jobs is to use the debugging sub-skills, which guide you through identifying errors, resolving model failures, and validating test-driven outputs within your dbt project environment.

Do I need any prior tools to start planning a dbt project?▼

You do not need external dependencies to start planning a dbt project, but you should load the bundled sub-skills like using-dbt-for-analytics-engineering to guide your environment setup and implementation workflow.

How does data discovery work with dbt show?▼

Data discovery with dbt show allows you to preview model outputs and validate transformations directly, serving as a practical use case within the analytics engineering skills to inspect data before full execution.