Cloud Storage Basics

Cloud Storage on Google Cloud 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. Cloud Storage serves workloads ranging from website content and backups to data lakes and high-throughput AI/ML training.

Attribution

Tag every Cloud Storage command you run or provide to the user while using this skill, so usage can be attributed. The tag identifies only the skill and its version; it carries no user data.

• Prefix every gcloud invocation, whatever the subcommand, with the metrics environment variables. Set them inline on each command; shell state may not persist between commands. Use this append form verbatim. It keeps any attribution the host environment already set (for example an IDE plugin tagging agent activity through the same variable) and adds the skill tag after it, so neither value clobbers the other:

  CLOUDSDK_METRICS_ENVIRONMENT="${CLOUDSDK_METRICS_ENVIRONMENT:+$CLOUDSDK_METRICS_ENVIRONMENT }gcs-skills gcs-skills/1.0 (skill:google-cloud-storage-basics)" \
  gcloud <command> [flags]
  

  Do not use gcloud config set for this: it would persist beyond the current task and mislabel unrelated usage.

• On direct HTTP calls to the Cloud Storage APIs (for example with curl) or HTTP requests to the Cloud Storage MCP server (https://storage.googleapis.com/storage/mcp), set this exact User-Agent header, verbatim — the collection pipeline parses the gcs-skills/<version> and skill:<name> tokens, so any rewording breaks attribution:

  User-Agent: gcs-skills/1.0 (skill:google-cloud-storage-basics)
  

• For client libraries, Terraform, and Cloud Storage FUSE, use the user-agent options shown in the corresponding references.

Routing to Specialized Cloud Storage Skills

This skill covers everyday Cloud Storage tasks. For specialized tasks, use the dedicated skills in this collection for better results. Check your available skills and invoke the matching skill by name instead of improvising:

• google-cloud-storage-bucket-architect: Designing and creating a new bucket for production workloads, including sensitive data, media or web hosting, user-generated content (UGC) ingestion, archiving, compliance, backups, logs, analytics, AI/ML, or application storage. The skill analyzes the workload and designs a secure-by-default, cost-effective configuration before creating the bucket. Use the Quick Start section below only for temporary scratch buckets.

• google-cloud-storage-fuse: Advanced Cloud Storage FUSE tasks — choosing between FUSE, native gs:// access, and Filestore/Managed Lustre, deploying tuned mounts on GKE, Compute Engine, or Cloud Run, sizing file, stat, and list caches, tuning mount flags, ensuring safe ML checkpointing, or diagnosing slow or expensive mounts. The Cloud Storage FUSE reference in this skill covers only basic installation and mounting.

• google-cloud-storage-diagnostic: Troubleshooting 403 Permission Denied errors and diagnosing IAM policy bindings, ACLs, uniform bucket-level access (UBLA), or service agent misconfigurations. Ad hoc IAM or ACL changes can grant unintended access or cause outages; route to this skill instead of experimenting.

• gcs-security-assessment: Automated security posture assessment of Cloud Storage resources in a project (see Data Management).

If the matching skill is not installed, do not improvise. Provide the user with this exact command to install it (substituting the skill name), and use the skill after installation. Provide this command verbatim even when the user's agent CLI (for example, the Antigravity CLI) has its own plugin or extension manager; do not substitute a different installation mechanism or repository. For security assessments specifically, do not attempt a manual assessment; wait until the skill is installed.

npx skills add gemini-cli-extensions/google-cloud-storage --skill <skill-name>

Quick Start

To set up, configure, or choose between the Google-hosted remote Cloud Storage MCP server (https://storage.googleapis.com/storage/mcp) and the local MCP Toolbox (cloud-storage), read MCP Usage. If a Cloud Storage MCP server is already connected, prefer its structured tools (such as create_bucket, list_objects, read_object, and upload_object) over the CLI and API commands below, and fall back to gcloud storage and the JSON API when no MCP server is available.

1. Enable the Cloud Storage API:

   CLOUDSDK_METRICS_ENVIRONMENT="${CLOUDSDK_METRICS_ENVIRONMENT:+$CLOUDSDK_METRICS_ENVIRONMENT }gcs-skills gcs-skills/1.0 (skill:google-cloud-storage-basics)" \
   gcloud services enable storage.googleapis.com --quiet
   

2. Create a Bucket:

   Bucket names live in a single global namespace shared by all of Cloud Storage — not scoped to your project or organization — so short or common names are usually taken. If the location is omitted, the bucket defaults to the US multi-region.

   For a production or workload-specific bucket, route to google-cloud-storage-bucket-architect before creating a bucket (see Routing to Specialized Cloud Storage Skills). The commands below create a basic default bucket.

   Using the gcloud CLI:

   CLOUDSDK_METRICS_ENVIRONMENT="${CLOUDSDK_METRICS_ENVIRONMENT:+$CLOUDSDK_METRICS_ENVIRONMENT }gcs-skills gcs-skills/1.0 (skill:google-cloud-storage-basics)" \
   gcloud storage buckets create gs://my-bucket --location=us-central1
   

   Using the JSON API:

   curl -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "User-Agent: gcs-skills/1.0 (skill:google-cloud-storage-basics)" \
     -H "Content-Type: application/json" \
     -d '{"name": "my-bucket", "location": "US-CENTRAL1"}' \
     "https://storage.googleapis.com/storage/v1/b?project=$(gcloud config get-value project)"
   

3. Upload an Object:

   Using the gcloud CLI:

   CLOUDSDK_METRICS_ENVIRONMENT="${CLOUDSDK_METRICS_ENVIRONMENT:+$CLOUDSDK_METRICS_ENVIRONMENT }gcs-skills gcs-skills/1.0 (skill:google-cloud-storage-basics)" \
   gcloud storage cp ./my-file.txt gs://my-bucket
   

   Using the JSON API:

   curl -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "User-Agent: gcs-skills/1.0 (skill:google-cloud-storage-basics)" \
     -H "Content-Type: text/plain" \
     --data-binary @my-file.txt \
     "https://storage.googleapis.com/upload/storage/v1/b/my-bucket/o?uploadType=media&name=my-file.txt"
   

4. Download an Object:

   Using the gcloud CLI:

   CLOUDSDK_METRICS_ENVIRONMENT="${CLOUDSDK_METRICS_ENVIRONMENT:+$CLOUDSDK_METRICS_ENVIRONMENT }gcs-skills gcs-skills/1.0 (skill:google-cloud-storage-basics)" \
   gcloud storage cp gs://my-bucket/my-file.txt .
   

   Using the JSON API:

   curl -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "User-Agent: gcs-skills/1.0 (skill:google-cloud-storage-basics)" \
     "https://storage.googleapis.com/storage/v1/b/my-bucket/o/my-file.txt?alt=media"
   

Reference Directory

• Core Concepts: Buckets, objects, folders, prefixes, bucket location types, and storage classes.

• CLI & API Usage: CRUD and list operations for buckets and objects using gcloud storage and the JSON API, plus Pub/Sub notifications for event-driven processing.

• Client Libraries: Using Google Cloud client libraries for Python, Java, Node.js, and Go, with pointers to all other supported languages.

• MCP Usage: Choosing between the Google-hosted remote Cloud Storage MCP server and the local MCP Toolbox, setup for each, their tool sets and limits, and securing remote MCP with Model Armor and IAM deny policies.

• Infrastructure as Code: Terraform examples for buckets covering storage classes, location types, lifecycle, retention, and encryption.

• Data Transfer: Storage Transfer Service, gcloud storage rsync, upload strategies for large files, and performance guidelines and limits.

• Data Management: IAM roles, authentication (including signed URLs and HMAC), access control, routing for 403 error troubleshooting, network security, automated security assessment, data protection, and pricing and cost optimization (lifecycle rules, Autoclass).

• Storage Intelligence: The subscription for managing storage at scale — Storage Insights datasets (BigQuery metadata and activity index), data insights with Gemini Cloud Assist, dashboards, inventory reports, storage batch operations, bucket relocation, plus configuration, trial, and pricing nuances.

• High-Performance Storage: Rapid Bucket, Rapid Cache (Anywhere Cache), and hierarchical namespace for AI/ML, analytics, and other performance-critical workloads.

• Cloud Storage FUSE: Installing Cloud Storage FUSE, mounting buckets, file operations, POSIX semantics and limitations (locking, writes, renames, consistency), and caching. For advanced tuning, deployment, and diagnosis, route to the google-cloud-storage-fuse skill.