By mystupidjee
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.
CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical testing * Model comparison * ML * Data analysis SQL/BigQuery ML HANDOFF: If the user requires a SQL solution, use this skill to dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization logic), but defer to `bigquery` for all SQL syntax.
Use these skills when you need to manage the durability and safety of your data by creating backups, restoring from previous states, or cloning instances for recovery and testing.
Expertise in generating clean, correct, and efficient Dataform pipeline code for BigQuery ELT. Use this when creating or modifying Dataform pipelines, actions, or source declarations, when Dataform, SQLX, or BigQuery are mentioned in a transformation, when data needs to be ingested from GCS into BigQuery via Dataform, or when setting up a new Dataform project or configuring workflow_settings.yaml.
**STOP AND VERIFY**: Before running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent. When in doubt, ask. It is better to wait for confirmation than to accidentally delete production data or critical project assets. Use this for: - SQL: DROP TABLE/VIEW/SCHEMA/DATABASE, TRUNCATE, or broad DELETE (missing WHERE or using 1=1). - Cloud Storage: gsutil rm or gcloud storage rm targeting production data or critical buckets. - Infrastructure: gcloud projects delete, deleting Spanner/BigQuery/Dataproc resources, deleting secrets, or KMS key destruction.
Use these skills when you need to manage user roles, inspect permissions, and verify security-related configuration parameters.
Admin access level
Server config contains admin-level keywords
External network access
Connects to servers outside your machine
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
This plugin requires configuration values that are prompted when the plugin is enabled. Sensitive values are stored in your system keychain.
GCP_REGIONRegion for GCP services (e.g. us-west1)
${user_config.GCP_REGION}PROJECT_IDProject ID when using the MCP toolbox for databases
${user_config.PROJECT_ID}BIGQUERY_LOCATIONLocation for BigQuery datasets (e.g. US)
${user_config.BIGQUERY_LOCATION}Requires secrets
Needs API keys or credentials to function
Requires secrets
Needs API keys or credentials to function
[!NOTE] This extension is currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0).
This plugin provides a specialized suite of skills and MCP tools for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, create and troubleshoot Dataflow pipelines, and orchestrate end-to-end workflows across the Google Cloud data ecosystem (BigQuery, Spanner, BigLake, Dataproc, etc.).
[!IMPORTANT] We Want Your Feedback! Please share your thoughts with us by opening an issue on GitHub. Your input is invaluable and helps us improve the project for everyone.
Ensure you have the following installed:
Choose the installation method for your preferred coding agent. Run the commands in terminal
Install the plugin directly from GitHub:
agy plugin install https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack
Install the extension directly from GitHub:
gemini extensions install https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack --ref 0.6.1
Run the claude command to start the agent, then follow these steps:
/plugin install data-agent-kit-starter-pack@claude-plugins-official
Codex utilizes a marketplace system for plugins. Install the Data Agent Kit Starter Pack marketplace to access the plugin:
# Step 1. Add marketplace
codex plugin marketplace add https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack
# Step 2. Add the plugin
codex plugin add dak@data-agent-kit-starter-pack-marketplace
macOS / Linux:
CODEX_TAG="0.6.1"; curl -sSL https://raw.githubusercontent.com/gemini-cli-extensions/data-agent-kit-starter-pack/$CODEX_TAG/codex-install.sh | bash -s -- $CODEX_TAG
Windows:
$env:CODEX_TAG="0.6.1"; irm "https://raw.githubusercontent.com/gemini-cli-extensions/data-agent-kit-starter-pack/$env:CODEX_TAG/codex-install.ps1" | iex
Start the Codex agent (codex), then run:
/plugins
Use the interactive options to install the plugin with the name Data Agent Kit Starter Pack.
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