GoogleCloudPlatform/data-agent-kit-plugin

Última atividade de origem registrada: 30 de outubro de 2026 às 02:49

Catálogo do SkillsMP atualizado: 5 de novembro de 2026 às 19:57

skills coletadas: 40

Estrelas no GitHub: 240
Forks no GitHub: 69

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/GoogleCloudPlatform/data-agent-kit-plugin.

README do repositório

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# Data Agent Kit Data Agent Kit is a **free** plugin that connects your coding agent to 15+ Google Data Cloud services, including BigQuery, Cloud Storage, Spanner, AlloyDB, Managed Service for Apache Spark, and Knowledge Catalog. Spend your time on insights, not boilerplate. Describe a data task in plain language, and watch your agent handle the heavy lifting for you: writing SQL queries, building notebooks, generating pipeline code, setting up ML workflows, and more. > [!IMPORTANT] > This repository contains the Data Agent Kit **plugin** for coding agents: > Antigravity CLI, Claude Code, Codex CLI, and any > [Agent Plugins](https://github.com/agentplugins/agent-plugins-spec)–compatible > client. > > If you use an IDE, install the Data Agent Kit **extension** instead. If you > use **Visual Studio Code**, install Data Agent Kit from the > [Visual Studio Marketplace](https://marketplace.visualstudio.com/items?itemName=GoogleCloudTools.datacloud). > If you use another VS Code-based IDE, such as **Antigravity IDE** or **Cursor**, > search for "Data Agent Kit" in your IDE's Extensions panel and install it from > there. ## Prerequisites - A supported coding agent: Antigravity CLI, Claude Code, Codex CLI, or another Agent Plugins–compatible client. - **Node.js** (latest LTS recommended). - **Google Cloud CLI (`gcloud`)**, installed and authenticated: 1. [Install the gcloud CLI](https://cloud.google.com/sdk/docs/install). 2. Log in with your Google Cloud account: ```bash gcloud auth login ``` 3. Log in to [Application Default Credentials (ADC)](https://cloud.google.com/docs/authentication/provide-credentials-adc): ```bash gcloud auth application-default login ``` ## Installation  <details> <summary>Antigravity CLI</summary> ```bash agy plugin install https://github.com/GoogleCloudPlatform/data-agent-kit-plugin ``` </details> <details> <summary>Claude Code</summary> ```bash claude plugin marketplace add https://github.com/GoogleCloudPlatform/data-agent-kit-plugin claude plugin install dak@dak-marketplace ``` </details> <details> <summary>Codex CLI</summary> ```bash codex plugin marketplace add GoogleCloudPlatform/data-agent-kit-plugin codex plugin add dak@dak-marketplace ``` </details> <details> <summary>Any Agent Plugins–compatible client</summary> Point your client's plugin install command at this repository: ```text https://github.com/GoogleCloudPlatform/data-agent-kit-plugin ``` See your agent's documentation for the exact command. </details> ## Configuration <details> <summary>Antigravity CLI and Claude Code</summary> Provide any prompt to your agent and it will walk you through configuring Data Agent Kit. Alternatively, you can manually invoke the Data Agent Kit setup skill: ```text /dak:dak-setup ``` Restart your agent when prompted to complete the setup. </details> <details> <summary>Codex CLI</summary> Codex runs with a sandbox by default that prevents Data Agent Kit from configuring itself. Temporarily disable the sandbox to allow setup: ```bash codex -s danger-full-access ``` Invoke the Data Agent Kit setup skill: ```text $dak:dak-setup ``` Restart your agent when prompted to complete the setup. You can now use Codex normally with the sandbox enabled. </details>   ## Features and Common Uses - **Data engineering:** Build pipelines that turn source data into analysis-ready tables, with quality checks along the way. Develop transformations with dbt or Dataform, schedule workflows with Managed Service for Apache Airflow, and debug failed runs by tracing execution logs and code. - **Data science:** Develop experiments in Jupyter notebooks on local Python or remote Managed Service for Apache Spark kernels. Prepare features from BigQuery, train models with BigQuery ML, and schedule batch inference. - **Data analysis:** Explore data across BigQuery, AlloyDB, and Cloud SQL. Find datasets with Knowledge Catalog, guided by data quality metrics and lineage, then build visualizations or reusable data models. ## Example Prompts - "Create a PySpark notebook to train a distributed Random Forest model on the BigQuery table `my_transactions` - "Find datasets about customer orders in Knowledge Catalog and show their lineage" - "Create an Airflow DAG that runs the dedup notebook, the dbt pipeline, and model training every Monday morning. - "My last Dataflow job failed. Find the root cause in the logs and propose a fix" ## Troubleshooting If you see `could not find default credentials` or other auth errors, ensure you are logged into gcloud. Exit your agent, run `gcloud auth login` followed by `gcloud auth application-default login`, then restart your agent. ## Security Your agent can run tools and commands on your behalf. Apply the **principle of least privilege** to every CLI, MCP server, and resource it can access: - Use [service account impersonation](https://cloud.google.com/docs/authentication/use-service-account-impersonation) instead of end-user credentials. - Grant the service account only the [roles it needs](https://cloud.google.com/iam/docs/roles-overview). - Use [Principal Access Boundary policies](https://cloud.google.com/iam/docs/principal-access-boundary-policies#use-case-one-project) with a condition in the policy binding to restrict your agent's service accounts to intended projects. Learn how to [mitigate prompt injection risks](https://docs.cloud.google.com/data-cloud-extension/vs-code/prompt-injection-risk) with Google Cloud MCP. ## Usage Statistics Data Agent Kit collects usage statistics (such as when included skills and MCP tools are used) to improve reliability and performance. No user code, file contents, or application data values are collected. To opt out, either set `DO_NOT_TRACK=1` in your environment: ```bash export DO_NOT_TRACK=1 ``` Or create or update `~/.data_agent_kit/config.json`: ```json { "enableTelemetry": false } ``` ## Feedback We want your feedback! Please [open an issue](issues/new) to report bugs, file feature requests, or ask questions. ## Resources - [Data Agent Kit homepage](https://cloud.google.com/products/data-agent-kit) - [Data Agent Kit documentation](https://docs.cloud.google.com/data-agent-kit)

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