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dbt-labs/dbt-agent-skills

A curated collection of Agent Skills for working with dbt, to help AI agents understand and execute dbt workflows more effectively.

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Files

scenario.mdevals/scenarios/dbt-job-failure/

dbt Job Failure Debugging

Goal

Test whether the LLM can effectively use MCP tools to diagnose a dbt Cloud job failure.

Expected Behavior

The LLM should:

  1. Use the dbt MCP server to list recent job runs
  2. Identify the failed run from January 14th
  3. Get detailed error information using get_job_run_error
  4. Classify the error type and investigate appropriately
  5. Either find the root cause or document what was checked

Evaluation Criteria

  • Tool Usage: Did it use the MCP tools effectively?
  • Systematic: Did it follow a logical debugging process?
  • Documentation: Did it document findings appropriately?

Prerequisites

This scenario requires:

  • dbt MCP server running with valid credentials
  • Access to a dbt Cloud account with job history

Install with Tessl CLI

npx tessl i dbt-labs/dbt-agent-skills@1.1.0

evals

scenarios

dbt-job-failure

AGENTS.md

CLAUDE.md

README.md

CHANGELOG.md

CLAUDE.md

CONTRIBUTING.md

README.md

tile.json