Dbt Agent Readiness
AI Agents & AssistantsA Claude Code skill that audits dbt projects to surface data‑modeling issues an AI agent would misinterpret, such as mismatched entity names, missing columns, unit drifts, and broken joins.
Features
- Detects conflicting definitions of the same business concept across models
- Flags missing or mismatched columns between YAML declarations and SQL output
- Identifies unit‑drift errors (e.g., EUR vs. cents) that could confuse an agent
- Reports broken joins and non‑existent model references before runtime
- Provides hygiene checks with ready‑to‑run verification queries
Recent releases
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Install & Platforms
Install via
pip
