data-agent-kit-starter-pack

Saved declaration

{}

Saved declaration

{
  "name": "data-agent-kit-starter-pack",
  "source": {
    "sha": "db28b191f5db0bf751d2b44e23e422d5ba2a4930",
    "url": "https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git",
    "source": "url"
  },
  "homepage": "https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack/blob/main/README.md",
  "description": "This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud.  It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem."
}

Hooks

"./.claude-plugin/hooks.json"

Mcp servers

"./.claude-mcp.json"

Saved declaration

{
  "name": "dak",
  "hooks": "./.claude-plugin/hooks.json",
  "author": {
    "name": "Google LLC",
    "email": "data-cloud-ai-integrations@google.com"
  },
  "version": "0.8.0",
  "mcpServers": "./.claude-mcp.json",
  "userConfig": {
    "GCP_REGION": {
      "type": "string",
      "title": "GCP Region",
      "required": true,
      "description": "Region for GCP services (e.g. us-west1)"
    },
    "PROJECT_ID": {
      "type": "string",
      "title": "GCP Project ID",
      "required": true,
      "description": "Project ID when using the MCP toolbox for databases"
    },
    "BIGQUERY_LOCATION": {
      "type": "string",
      "title": "BigQuery Location",
      "required": true,
      "description": "Location for BigQuery datasets (e.g. US)"
    }
  },
  "description": "This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem."
}