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dbt-toolkit
Workflow-oriented dbt project management for your AI Code
Skills
16 in the Claude listing
dbt
dbt project management — run, test, debug, audit, and more
Dbt artifacts
Parse run results, explore manifest, compare states, inspect catalog
Dbt audit
Proactive health checks — test coverage, docs, materialization, sort/dist keys
Dbt brainstorming
Explore model design decisions — materialization, incremental strategy, sources (v2 — not yet implemented)
Dbt code review
Model review checklist — SQL quality, config, tests, docs (v2 — not yet implemented)
Dbt debug
Systematic troubleshooting for connection, compilation, SQL, and test failures
Dbt deps
Install and manage dbt packages — dbt-utils, dbt-expectations, custom packages
Dbt develop
Scaffold new models, compile and preview SQL, explore lineage, refactor
Dbt docs
Generate documentation, audit coverage, bulk document models
Dbt executing plans
Step-by-step plan execution with checkpoints (v2 — not yet implemented)
Dbt freshness
Check source data freshness, track trends, show downstream impact
Dbt run
Execute dbt models with smart selection, full-refresh detection, and retry
Dbt run operation
Execute dbt macros — grants, data masking, utility operations
Dbt seed snapshot
Load seed CSVs and execute SCD snapshots with validation
Dbt setup
First-time project wizard — configure execution, test connection, index project
Dbt test
Run data and unit tests, analyze failures, report coverage
Cloudflare Developer Platform
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