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Skill

cosmos-dbt-core

@astronomer Updated 2026-10-14

Turns a dbt Core project into an Airflow DAG/TaskGroup using Astronomer Cosmos. Use turning a dbt Core project into an Airflow DAG or TaskGroup with Astronomer Cosmos. Before implementing, verify dbt engine, warehouse, Airflow version, execution environment, DAG vs TaskGroup, and manifest availability.

agentic-workflowagentsaiai-agentsairflowapache-airflowclaudecursor

Install

With your agent

Install OMGSkills skill "astronomer/agents:cosmos-dbt-core" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/astronomer/agents /tmp/agents && ln -s /tmp/agents/skills/cosmos-dbt-core ~/.claude/skills/cosmos-dbt-core

From README

Cosmos + dbt Core: Implementation Checklist Execute steps in order. Prefer the simplest configuration that meets the user's constraints. Version note: This skill targets Cosmos 1.11+ and Airflow 3.x. If the user is on Airflow 2.x, adjust imports accordingly (see Appendix A). Reference: Latest stable: https://pypi.org/project/astronomer-cosmos/ Before starting, confirm: (1) dbt engine = Core (not Fusion → use cosmos-dbt-fusion), (2) warehouse type, (3) Airflow version, (4) execution environment (Airflow env / venv / container), (5) DbtDag vs DbtTaskGroup vs individual operators, (6) manifest availability.