by sfc-gh-dflippo/snowflake-dbt-demo
Transform AI agents into experts on writing production-quality dbt models, providing guidance on CTE patterns, SQL structure, and best practices for creating maintainable and performant data models across all medallion architecture layers.
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Verdict
PendingGritFlow hasn't completed a security review of dbt-modeling yet, so we don't make a safety claim about it. Review the skill's code and source repository before installing it.
Install by adding the skill from the source repository. Check the skill's README for specific instructions.
dbt-modeling is licensed under Apache-2.0. This is a permissive open-source license suitable for commercial use.
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Transform AI agents into experts on writing production-quality dbt models, providing guidance on CTE patterns, SQL structure, and best practices for creating maintainable and performant data models across all medallion architecture layers.
dbt-core
Guide AI agents through a systematic, user-choice-driven installation process for dbt-core on local machines. The agent runs diagnostic scripts, presents options to users, and executes non-interactive installation scripts based on user preferences.
agent-rules
Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.
dbt-artifacts
This skill enables AI agents to help users monitor dbt execution using the brooklyn-data/dbt_artifacts package. The package captures detailed execution metadata during dbt runs and stores it in queryable tables for analysis and monitoring.
