google-cloud-storage-basics
Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — set up a Storage MCP server (remote or local Toolbox), create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes (Standard, Nearline, Coldline, Archive), manage lifecycle and cost, protect data (versioning, CMEK, retention, Bucket Lock, holds, soft delete), host static websites, trigger Pub/Sub notifications, mount buckets (gcsfuse), or optimize performance. Covers gcloud storage / gsutil, JSON/XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for non-Storage MCP servers, block storage (Persistent Disk), BigQuery, or databases (Cloud SQL, Spanner, Bigtable, Firestore).
Install
With your agent
Install OMGSkills skill "googlecloudplatform/data-agent-kit-plugin:skills/google-cloud-storage-basics" 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-basics ~/.claude/skills/google-cloud-storage-basics
From README
Google Cloud Storage Basics Google Cloud Storage (GCS) is a managed service for storing data as objects at any scale. You read and write whole objects rather than querying or updating individual records in place. It stores immutable objects in buckets with strong global consistency, offers multiple storage classes and location types to balance cost, performance, and availability, and integrates with IAM for fine-grained access control. GCS serves workloads ranging from website content and backups to data lakes and high-throughput AI/ML training. Tool Execution Priority (MCP Toolbox First) Follow this execution hierarchy whenever you perform or recommend Cloud Storage bucket and object operations: Priority 1 — Use cloud-storage MCP Tools When Connected Before running gcloud storage or curl in a shell, check your available tools for the cloud-storage MCP server (either the local MCP Toolbox or the Google-hosted remote Cloud Storage MCP server).
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