Cosmos Dbt Fusion

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by astronomer · vlatest · Repository

Cosmos Dbt Fusion seamlessly integrates astronomical datasets from various sources into a unified Dbt model for efficient analysis and discovery.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add cosmos-dbt-fusion npx -- -y @trustedskills/cosmos-dbt-fusion
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "cosmos-dbt-fusion": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/cosmos-dbt-fusion"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The cosmos-dbt-fusion skill enables AI agents to integrate and execute dbt (data build tool) workflows within a Cosmos environment. It allows users to define, schedule, and manage data transformation pipelines using dbt models, while leveraging the scalability and orchestration capabilities of Cosmos.

When to use it

  • Automating complex ETL processes that require dbt for data modeling.
  • Orchestrating multi-project or cross-team data workflows in a unified environment.
  • Building scalable data pipelines with version control and dependency management.
  • Integrating dbt with cloud-native infrastructure for real-time analytics.

Key capabilities

  • Execution of dbt models within Cosmos workflows.
  • Integration with existing dbt projects and configurations.
  • Support for scheduling and monitoring dbt jobs in a distributed environment.
  • Compatibility with various data warehouses and storage systems supported by dbt.

Example prompts

  • "Run the latest dbt models in my project using Cosmos."
  • "Schedule a dbt job to execute every 24 hours on Monday through Friday."
  • "Monitor the status of all active dbt jobs running in the Cosmos environment."

Tips & gotchas

  • Ensure that your dbt project is properly configured and compatible with Cosmos before deployment.
  • Be mindful of resource allocation, as large-scale dbt workflows can be computationally intensive.

Tags

🛡️

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Details

Version
vlatest
License
Author
astronomer
Installs
265

🌐 Community

Passed automated security scans.