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dbt-labs

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• 14 skills
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• 1 week ago last updated

1. ▌
   Adapters Critic · dbt-labs

   Use in a reviewer agent in agent loops or when reviewing your own code.
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   Adapter Skills Annotate References · dbt-labs bundle

   Use when annotating fs adapter implementations with upstream dbt-adapters Python reference links. Triggers whenever you need to add or audit GitHub permalink comments in adapter_impl.rs, trace an fs adapter method back to its Python origin in dbt-adapters, or when working on adapter divergence and want to know where a method came from. Also use when asked to "annotate references", "add upstream links", or "link adapter methods".
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   Answering Natural Language Questions With Dbt · dbt-labs

   Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.
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   Using Dbt For Analytics Engineering · dbt-labs

   Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.
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5. ▌
   Migrating Dbt Project Across Platforms · dbt-labs

   Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.
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   Troubleshooting Dbt Job Errors · dbt-labs

   Diagnoses dbt Cloud/platform job failures by analyzing run logs, querying the Admin API, reviewing git history, and investigating data issues. 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.
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   Building Dbt Semantic Layer · dbt-labs

   Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
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   Migrating Dbt Core To Fusion · dbt-labs

   Classifies dbt-core to Fusion migration errors into actionable categories (auto-fixable, guided fixes, needs input, blocked). Use when a user needs help triaging migration errors to understand what they can fix vs what requires Fusion engine updates.
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   Configuring Dbt MCP Server · dbt-labs

   Generates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt. Use when setting up, configuring, or troubleshooting the dbt MCP server for AI tools like Claude Desktop, Claude Code, Cursor, or VS Code.
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10. ▌
    Creating Mermaid Dbt Dag · dbt-labs

    Generates a Mermaid flowchart diagram of dbt model lineage using MCP tools, manifest.json, or direct code parsing as fallbacks. Use when visualizing dbt model lineage and dependencies as a Mermaid diagram in markdown format.
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11. ▌
    Adding Dbt Unit Test · dbt-labs

    Creates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt.
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    Running Dbt Commands · dbt-labs

    Formats and executes dbt CLI commands, selects the correct dbt executable, and structures command parameters. Use when running models, tests, builds, compiles, or show queries via dbt CLI. Use when unsure which dbt executable to use or how to format command parameters.
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13. ▌
    Fetching Dbt Docs · dbt-labs

    Retrieves and searches dbt documentation pages in LLM-friendly markdown format. Use when fetching dbt documentation, looking up dbt features, or answering questions about dbt Cloud, dbt Core, or the dbt Semantic Layer.
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14. ▌
    Auditing Skills · dbt-labs

    Use when checking skills for security or quality issues, reviewing audit results from skills.sh or Tessl, or remediating findings across published skills.
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