Google Cloud Storage Bucket Architect

GoogleOfficialPublished by Google

Skill
Tool integration
Cloud and DevOps
Apache-2.0
No issues found

From the author

Creates Cloud Storage on Google Cloud (also known colloquially as 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.

— the description by Google

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This agent acts as a specialized architect for Google Cloud Storage (GCS). It guides users through a structured, three-phase process to design and provision storage buckets. By analyzing the intended workload—such as media hosting, backups, or AI/ML—the agent ensures that every bucket is configured with secure-by-default settings, including uniform bucket-level access, public access prevention, and appropriate lifecycle policies. It provides actionable output in various formats, including gcloud commands, REST API calls, Terraform, or SDK code snippets, while strictly requiring user confirmation before executing any infrastructure changes.

What it does

Analyzes workload requirements to recommend optimal storage classes and bucket configurations.
Validates project-level security settings to identify potential policy gaps.
Generates secure-by-default bucket architectures including encryption and access controls.
Provides infrastructure-as-code or CLI commands for bucket provisioning.
Performs read-only checks for bucket name availability.
Ensures safe execution by requiring explicit user confirmation for all infrastructure changes.

When to use it

When you need to provision a new storage bucket on Google Cloud.
When you require an expert recommendation for bucket settings based on a specific use case.
When you need to generate Terraform, SDK, or CLI code for bucket creation.
When you want to ensure your storage infrastructure follows security best practices.

Advantages

Reduces configuration errors through a structured, multi-phase planning process.
Promotes security-first design with mandatory secure-by-default settings.
Provides flexibility by supporting multiple output formats like Terraform and various SDKs.
Prevents accidental infrastructure changes by requiring explicit confirmation.

Usage examples

“I need a bucket for storing sensitive financial documents that must be kept for 7 years.”: The agent will analyze the compliance requirements, recommend Archive storage class with Bucket Lock and CMEK, and provide the configuration plan.
“Help me set up a bucket for hosting static website assets.”: The agent will propose a configuration optimized for public web hosting, including appropriate access controls and lifecycle policies.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/google/google-cloud-storage-bucket-architect/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip google-cloud-storage-bucket-architect.zip -d .agents/skills

Documentation by Google

Cloud Storage Bucket Architect

You are a Use-Case Driven Cloud Storage Bucket Architect agent on Google Cloud. 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 commands, including bucket creation/update/deletion (e.g., gcloud, REST API calls), without first presenting the exact configuration/command and obtaining explicit confirmation from the user.

Philosophy

Creating Cloud Storage buckets involves many architectural choices (storage class, location, security settings, lifecycle policies). Instead of just creating a default bucket, you analyze the user's workload requirements and apply industry best practices and Google's internal expertise to draft a tailored architecture plan. You also check project-level constraints to warn the user about potential security gaps or policy violations.

[!NOTE]
For help with location-related questions about Cloud Storage, refer to the public documentation for Cloud Storage: Storage Locations

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. Do not use attribution for SDK or Terraform snippets.

gcloud: Prefix every gcloud invocation you execute or output (including project checks, bucket name checks, creation/update commands, and any auxiliary gcloud commands in recommendations) with the metrics environment variables. The only exception is gcloud auth print-access-token when used inside a REST curl command, because REST already records attribution through the User-Agent header. Set the prefix inline on each gcloud 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-bucket-architect)" \
gcloud <command> [flags]
```
Do not use gcloud config set for this: it would persist beyond the current task and mislabel unrelated usage.

REST (cURL): Set the User-Agent header verbatim:

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

Phase Summary Table

Phase	Inputs	Outputs	Reference
1. Preflight/Project Checks	Project ID	Default project security checks	`references/phase_project_checks.md`
2. Draft Bucket Create Plan	User use case, requirements	Recommended bucket configuration plan with bucket name availability status	`references/phase_draft_plan.md`
3. Output Based on User Intent	Plan, preferred format	Command/Snippet for bucket creation	`references/phase_output.md`

Workflow Execution

[!IMPORTANT]
Do not skip phases: You must complete Phase N before proceeding to Phase N+1. Decisions should be made based on relevant findings grounded in the reference files for each phase. Do not optimize or deviate. Even if the user requests ONLY the final code/commands, or asks for them "immediately", you MUST still perform and display the Phase 1 assessment and Phase 2 plan in your response.

When invoked, the agent MUST follow this exact sequence:

Start at Phase 1 (Preflight/Project Checks): Assess project-level settings by following references/phase_project_checks.md and follow its output format before proceeding.
Proceed to Phase 2 (Draft Bucket Create Plan): Identify the use case and draft the bucket's configuration by following references/phase_draft_plan.md. This phase includes running the read-only, attributed bucket name availability check described in the reference; a taken name must be resolved before the plan is presented. As described in the reference, stop and wait for confirmation from the user that the plan looks good before proceeding, unless the user has already explicitly requested the final commands or code snippet in their initial prompt.
Proceed to Phase 3 (Output Based on User Intent): Generate the final output by following references/phase_output.md but DO NOT execute any commands.
As described in the reference, the preferred output format should be clear (gcloud, API (REST), Terraform, or SDK).
- For gcloud and REST, offer to execute the creation and only proceed after explicit confirmation.
- For Terraform and SDK, display the snippet for the user to integrate.

Error Handling

Problem	Cause	Fix
Execution failure during creation	Network issue, permission error during API call	Report the error details to the user and suggest manual execution with the generated command/snippet.
Creation fails with 409 or "already exists" error	The bucket name became taken after the check, or the check was not verified	Propose a different name, re-run the availability check, and regenerate the output.

References

Phases

Preflight / Project Checks: Project-level security verification and default configuration checks.
Draft Bucket Create Plan: Workload assessment, secure defaults, and architecture plan generation.
Output Based on User Intent: Final command/code generation and execution confirmation workflows.

Bucket Use Cases

Sensitive Data & Compliance: Architecture for regulated data (PII, HIPAA, finance) with CMEK, restricted CSEK, and IP filtering.
Media Hosting & CDN: Public asset hosting and CDN origin configuration.
Direct UGC Ingestion: Signed URLs, direct client uploads, CORS, and malware protection.
Static Website Hosting: Website hosting, custom domain mapping, and index/error page handling.
Long-Term Archive & Compliance: Regulatory retention, WORM (Object Retention), Bucket Lock, and Autoclass.
Backup & Disaster Recovery: Immutable backups, dual-region turbo replication, and soft delete protection.
Log Storage: High-volume log ingestion, retention management, and SIEM integration.
AI & Machine Learning: High-throughput training/inference, Cloud Storage FUSE, Rapid Cache, and zonal buckets (Rapid Bucket / Rapid storage class).

Provisioning & Output Formats

gcloud CLI Reference: gcloud storage commands for creating and configuring buckets.
REST API Reference: JSON API payloads and cURL commands for bucket creation.
Terraform Reference: google_storage_bucket Terraform resource definitions and best practices.
SDK Client Libraries Overview: SDK client initialization, feature support matrix, and unexposed feature handling.

SDK Language-Specific Guides

C++ SDK Guide: Code examples and patterns for the Cloud Storage C++ client library.
Go SDK Guide: Code examples and patterns for the Cloud Storage Go client library.
Java SDK Guide: Code examples and patterns for the Cloud Storage Java client library.
Python SDK Guide: Code examples and patterns for the Cloud Storage Python client library.

Files

ATTRIBUTION.mdAdded by AutoGineer872 B
LICENSELicence file added by AutoGineer11.1 KiB
SKILL.md10.2 KiB
references/archiving_compliance.md9.1 KiB
references/backup_dr.md11.6 KiB
references/gcloud.md27.9 KiB
references/log_storage.md6.2 KiB
references/media_hosting.md9.1 KiB
references/phase_draft_plan.md16.9 KiB
references/phase_output.md3.5 KiB
references/phase_project_checks.md6.1 KiB
references/rest.md19.9 KiB
references/sdk.md20.4 KiB
references/sdk_cpp.md13.8 KiB
references/sdk_go.md12.4 KiB
references/sdk_java.md16.3 KiB
references/sdk_python.md10.5 KiB
references/sensitive_data.md8.4 KiB
references/static_website.md7.0 KiB
references/storage_for_ai.md9.8 KiB
references/terraform.md17.5 KiB
references/ugc_ingestion.md7.8 KiB

references/sdk.md

Cloud Storage SDK Reference

[!IMPORTANT]
DO NOT RUN THESE CONFIGURATIONS AUTOMATICALLY. The purpose of this guide is to define the mapping and translation rules to generate the correct snippet structure. These generated snippets must be presented to the user for confirmation.

This guide describes how to translate a Draft Bucket Creation Plan (from Phase 2) into the corresponding SDK configuration in C++, Java, Python, and Go.

Official Documentation Reference

Cloud Storage (Data Plane)

Cloud Storage Control (Control Plane - Hierarchical Namespace, Folders, Rapid Cache)

Client Initialization

Here is how to initialize the Storage Client in each language:

Python

from google.cloud import storage

client = storage.Client(project=project_id)

Go

import (
    "context"
    "cloud.google.com/go/storage"
)

ctx := context.Background()
client, err := storage.NewClient(ctx)

C++

#include "google/cloud/storage/client.h"

namespace gcs = ::google::cloud::storage;
auto client = gcs::Client();

Java

import com.google.cloud.storage.Storage;
import com.google.cloud.storage.StorageOptions;

Storage storage = StorageOptions.newBuilder()
    .setProjectId(projectId)
    .build()
    .getService();

SDK Feature Support Matrix

[!NOTE] For features marked as Not exposed in a specific language's client library, consider using alternative configuration methods such as Terraform, gcloud, or the raw REST API.

Draft Plan Field / Setting	Python SDK Feature / Attribute	Go SDK Feature / Attribute	C++ SDK Feature / Attribute	Java SDK Feature / Attribute
Bucket Name	`bucket_or_name` (arg in `create_bucket`, accepts `Bucket` or `str`)	Passed to `client.Bucket(name)`	Passed to `Client::CreateBucket(bucket_name, ...)`	Passed to `BucketInfo.newBuilder(name)`
Location	`location` (arg in `create_bucket`)	`BucketAttrs.Location`	`bucket.set_location(location)`	`BucketInfo.Builder.setLocation(location)`
Placement (Dual-Region / Zonal)	`data_locations=[...]` (arg in `create_bucket`)	`BucketAttrs.CustomPlacementConfig`	`bucket.set_custom_placement_config(BucketCustomPlacementConfig{{...}})`	`BucketInfo.Builder.setCustomPlacementConfig(...)`
Replication Speed (RPO)	`bucket.rpo = "ASYNC_TURBO"`	`BucketAttrs.RPO`	`bucket.set_rpo("ASYNC_TURBO")`	`BucketInfo.Builder.setRpo(Rpo.ASYNC_TURBO)`
Storage Class	`bucket.storage_class = "STANDARD"`	`BucketAttrs.StorageClass`	`bucket.set_storage_class(storage_class)`	`BucketInfo.Builder.setStorageClass(StorageClass.STANDARD)`
UBLA	`bucket.iam_configuration.uniform_bucket_level_access_enabled = True`	`BucketAttrs.UniformBucketLevelAccess`	`bucket.set_iam_configuration(BucketIamConfiguration{UniformBucketLevelAccess{true, {}}})`	`BucketInfo.Builder.setIamConfiguration(...)` (with `setIsUniformBucketLevelAccessEnabled(true)`)
Public Access Prevention	`bucket.iam_configuration.public_access_prevention = "enforced"`	`BucketAttrs.PublicAccessPrevention`	`bucket.set_iam_configuration(BucketIamConfiguration{std::nullopt, "enforced"})`	`BucketInfo.Builder.setIamConfiguration(...)` (with `setPublicAccessPrevention(PublicAccessPrevention.ENFORCED)`)
Soft Delete	`bucket.soft_delete_policy.retention_duration_seconds = seconds`	`BucketAttrs.SoftDeletePolicy`	`bucket.set_soft_delete_policy(BucketSoftDeletePolicy{std::chrono::seconds(seconds)})`	`BucketInfo.Builder.setSoftDeletePolicy(...)` (with `setRetentionDuration(Duration)`)
Object Versioning	`bucket.versioning_enabled = True`	`BucketAttrs.VersioningEnabled`	`bucket.enable_versioning()`	`BucketInfo.Builder.setVersioningEnabled(true)`
Encryption (CMEK)	`bucket.default_kms_key_name = "projects/..."`	`BucketAttrs.Encryption`	`bucket.set_encryption(BucketEncryption("key_name"))`	`BucketInfo.Builder.setDefaultKmsKeyName(keyName)`
Restrict Encryption (CSEK)	`bucket.encryption.customer_supplied_encryption_enforcement_config = EncryptionEnforcementConfig(restriction_mode="FullyRestricted")` (v3.10.0+)	`BucketAttrs.CustomerSuppliedEncryptionEnforcementConfig` (with `RestrictionMode: storage.FullyRestricted`) (v1.61.0+)	`BucketEncryption` fields (e.g. `customer_supplied_encryption_enforcement_config`) (v2.46.0+)	`BucketInfo.Builder.setCustomerSuppliedEncryptionEnforcementConfig(...)` (v2.55.0+)
Autoclass	`bucket.autoclass_enabled = True`	`BucketAttrs.Autoclass`	`bucket.set_autoclass(BucketAutoclass(true))`	`BucketInfo.Builder.setAutoclass(...)` (with `setEnabled(true)`)
Hierarchical Namespace	`bucket.hierarchical_namespace_enabled = True`	`BucketAttrs.HierarchicalNamespace`	`bucket.set_hierarchical_namespace(BucketHierarchicalNamespace{true})`	`BucketInfo.Builder.setHierarchicalNamespace(...)` (with `setEnabled(true)`)
Labels	`bucket.labels = {"key": "value"}`	`BucketAttrs.Labels`	`bucket.upsert_label(key, value)`	`BucketInfo.Builder.setLabels(Map)`
IP Filtering	`from google.cloud.storage.ip_filter import IPFilter`<br>`ip_filter = IPFilter()`<br>`bucket.ip_filter = ip_filter`	Not exposed in Go v1 client library	Not exposed in C++ client library	`BucketInfo.Builder.setIpFilter(...)`
Allow Cross-Org VPCs	`ip_filter.allow_cross_org_vpcs = False`	Not exposed in Go v1 client library	Not exposed in C++ client library	`IpFilter.Builder.setAllowCrossOrgVpcs(allow)`
Lifecycle Policies (OLM)	`bucket.lifecycle_rules = [...]`	`BucketAttrs.Lifecycle`	`bucket.set_lifecycle(BucketLifecycle{{LifecycleRule(...)}})`	`BucketInfo.Builder.setLifecycleRules(rules)`
CORS	`bucket.cors = [...]`	`BucketAttrs.CORS`	`bucket.set_cors({CorsEntry{...}})`	`BucketInfo.Builder.setCors(cors)`
Website Configuration	`bucket.configure_website(...)`	`BucketAttrs.Website`	`bucket.set_website(BucketWebsite{main_page, error_page})`	`BucketInfo.Builder.setIndexPage(index)` / `setNotFoundPage(404)`
Public IAM Policy	`bucket.set_iam_policy(policy)`	`bucket.IAM().SetPolicy(ctx, policy)`	`client.SetNativeBucketIamPolicy(bucket_name, policy)`	`storage.setIamPolicy(bucketName, policy)`
Pub/Sub Notifications	`notification = bucket.notification(...)` & `notification.create()`	`BucketHandle.AddNotification(ctx, &Notification{...})`	`client.CreateNotification(bucket_name, topic_name, ...)`	`storage.createNotification(bucket, notificationInfo)`
Bucket Retention Period	`bucket.retention_period = seconds`	`BucketAttrs.RetentionPolicy`	`bucket.set_retention_policy(std::chrono::seconds(seconds))`	`BucketInfo.Builder.setRetentionPeriodDuration(Duration)`
Lock Bucket Retention Policy	`bucket.lock_retention_policy()`	`bucket.If(storage.BucketConditions{MetagenerationMatch: attrs.MetaGeneration}).LockRetentionPolicy(ctx)`	`client.LockBucketRetentionPolicy(bucket_name, metageneration)`	`storage.lockRetentionPolicy(bucketInfo, BucketTargetOption.metagenerationMatch())`
Object Retention (Object Lock)	`enable_object_retention=True` (arg in `create_bucket`)	`client.Bucket(name).SetObjectRetention(true)`	`bucket.set_object_retention(BucketObjectRetention{true})`	`Storage.BucketTargetOption.enableObjectRetention(true)` (arg in `storage.create`)
Set Object Retention	`retention = blob.retention`<br>`retention.mode = "Unlocked"`<br>`retention.retain_until_time = dt`<br>`blob.patch()` (use `override_unlocked_retention=True` to shorten/remove Unlocked)	`Writer.ObjectAttrs.Retention` (on create)<br>or `ObjectHandle.Update(...)` with `ObjectAttrsToUpdate.Retention`<br>(use `ObjectHandle.OverrideUnlockedRetention(true)` to shorten/remove Unlocked)	`object.set_retention(ObjectRetention{mode, timestamp})`	`BlobInfo.Builder.setRetention(BlobInfo.Retention)`
Rapid Cache	`StorageControlClient.create_anywhere_cache`	`StorageControlClient.CreateAnywhereCache`	`StorageControlClient::CreateAnywhereCache`	`StorageControlClient.createAnywhereCache`

Handling Unexposed Features

If a required feature is marked as Not exposed in the target language's client library, developers can use one of the following integration patterns:

Separate infrastructure management from application code. Use Terraform or gcloud to create and configure the bucket (including advanced settings like IP Filtering). The application code, using the SDK, only handles data plane operations (reading/writing objects) and does not need to configure these settings.

Pattern 2: Hybrid SDK + Direct REST API Call

If the application must configure the unexposed setting at runtime, use the SDK for standard operations and perform a direct HTTP REST call for the unexposed feature:

Auth: Use the SDK credentials helper to obtain an OAuth2 access token.
Request: Send a PATCH request to the Cloud Storage REST API (e.g., https://storage.googleapis.com/storage/v1/b/BUCKET_NAME) containing the JSON payload for the unexposed feature (refer to REST API Reference), passing the token in the Authorization: Bearer <token> header.

Pattern 3: Hybrid SDK + Auto-generated Client (Go Only)

For Go applications, developers can use the raw, auto-generated API client (google.golang.org/api/storage/v1) specifically for the unexposed configuration, while using the standard cloud.google.com/go/storage client for other operations. Both clients can share the same authenticated HTTP client.

SDK Language-Specific Examples

Detailed examples for each supported language can be found in the following reference documents:

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by

Google

Publisher

Google (Official)

Source

google/skills · skills/cloud/google-cloud-storage-bucket-architect · commit 2194d3b

Licence

Apache License 2.0 (redistribution allowed)

LICENSE (added by AutoGineer from LICENSE)
ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-09

AutoGineer is not affiliated with or endorsed by Google or Google.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download google-cloud-storage-bucket-architect.zip