github.com/dbt-labs/dbt-agent-skills
Skill | Added | Review |
|---|---|---|
troubleshooting-dbt-job-errors Use when a dbt Cloud/platform job fails and you need to diagnose the root cause, especially when error messages are unclear or when intermittent failures occur. Do not use for local dbt development errors. | 84% | |
using-dbt-for-analytics-engineering Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes. Use for analytics pipelines, data transformations, and data modeling. | 71% | |
running-dbt-commands Use when executing dbt commands via CLI - running models, tests, builds, compiles, or show queries. Use when unsure which dbt executable to use or how to format command parameters. | 89% | |
migrating-dbt-core-to-fusion Guides migration of dbt projects from dbt Core to the Fusion engine. Use when making a project compatible with Fusion, addressing deprecations, or running dbtf commands. | 88% | |
fetching-dbt-docs Use when fetching dbt documentation, looking up dbt features, or answering questions about dbt Cloud, dbt Core, or the dbt Semantic Layer | 86% | |
configuring-dbt-mcp-server Use when setting up, configuring, or troubleshooting the dbt MCP server for AI tools like Claude Desktop, Claude Code, Cursor, or VS Code. | 84% | |
building-dbt-semantic-layer Use when creating or modifying dbt Semantic Layer components including semantic models, metrics, and dimensions leveraging MetricFlow. | 82% | |
answering-natural-language-questions-with-dbt Use when a user asks a business question that requires querying data (e.g., "What were total sales last quarter?"). NOT for validating, testing, or building dbt models during development. | 79% | |
adding-dbt-unit-test Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt | 79% |