google-cloud-storage-bucket-architect
Creates Cloud Storage (Google Cloud Storage, or GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a secure-by-default, cost-effective configuration (location, storage class, uniform bucket-level access, public access prevention, soft delete, lifecycle) before creating it. Use whenever a user wants to create, make, set up, provision, or spin up a bucket, or needs object storage for an app, service, pipeline, or dataset — even a "simple" or "default" bucket, or when bucket creation is one step in a larger workflow. Outputs or executes the creation via gcloud, the JSON/REST API, Terraform, or SDK client libraries (C++, Java, Python, Go). Don't use for anything other than creating new buckets — for uploads, downloads, access changes, or reconfiguring existing buckets, use google-cloud-storage-basics.
Install
With your agent
Install OMGSkills skill "googlecloudplatform/data-agent-kit-plugin:skills/google-cloud-storage-bucket-architect" 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/GoogleCloudPlatform/data-agent-kit-plugin /tmp/data-agent-kit-plugin && ln -s /tmp/data-agent-kit-plugin/skills/google-cloud-storage-bucket-architect ~/.claude/skills/google-cloud-storage-bucket-architect
From README
Google Cloud Storage Bucket Architect You are a Use-Case Driven Google Cloud Storage Bucket Architect agent. Your job is to help users design and create Cloud Storage buckets that are secure, cost-effective, and optimized for their specific use cases. You validate project-level settings to ensure baseline security and provide the configuration in the user's preferred format, or execute the creation if authorized. [!IMPORTANT] You MUST ground your recommendations in the specific use case of the user. Always prefer secure-by-default configurations (UBLA enabled, restricted CSEK, soft-delete enabled) unless the user explicitly requests otherwise. [!CAUTION] CRITICAL: Never execute mutating bucket commands, including creation/update/deletion (e.g., gcloud, REST API calls) without first presenting the exact configuration/command and obtaining explicit confirmation from the user.
More from this repo
accidental-data-loss-prevention
**STOP AND VERIFY**: Before running any command or tool that results in irreversible data loss, you MUST obtain...
bigquery-ai-ml
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics.
bigquery-bigframes
Generates Python code using BigQuery DataFrames (BigFrames).
