Summary
This is a comprehensive dbt implementation guide that covers the full stack: project structure, source definitions, staging layers, intermediate models, and mart tables. You get real YAML configs for multi-environment setups (dev, prod, Snowflake), proper source freshness checks, and the staging-intermediate-mart pattern that keeps transforms maintainable. The examples show practical patterns like ephemeral intermediates, surrogate key generation, and incremental models with merge strategies. If you're setting up a new dbt project or refactoring an existing one into proper layers, this gives you the scaffolding and conventions to start from. It assumes you know SQL but treats dbt's Jinja patterns and materialization strategies as learnable rather than obvious.
Install to Claude Code
npx -y skills add personamanagmentlayer/pcl --skill dbt-expert --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
